Computer Simulations: Inelegant Mathematics and Worse Social Science?

ERIC Educational Resources Information Center

Alker, Hayward R., Jr.

1974-01-01

Achievements, limitations, and difficulties of social science simulation efforts are discussed with particular reference to three examples. The pedagogical use of complementary developmental, philosophical, mathematical, and scientific approaches is advocated to minimize potential abuses of social simulation research. (LS)

Software Reuse Methods to Improve Technological Infrastructure for e-Science

NASA Technical Reports Server (NTRS)

Marshall, James J.; Downs, Robert R.; Mattmann, Chris A.

2011-01-01

Social computing has the potential to contribute to scientific research. Ongoing developments in information and communications technology improve capabilities for enabling scientific research, including research fostered by social computing capabilities. The recent emergence of e-Science practices has demonstrated the benefits from improvements in the technological infrastructure, or cyber-infrastructure, that has been developed to support science. Cloud computing is one example of this e-Science trend. Our own work in the area of software reuse offers methods that can be used to improve new technological development, including cloud computing capabilities, to support scientific research practices. In this paper, we focus on software reuse and its potential to contribute to the development and evaluation of information systems and related services designed to support new capabilities for conducting scientific research.

The Quantitative Analysis of User Behavior Online - Data, Models and Algorithms

NASA Astrophysics Data System (ADS)

Raghavan, Prabhakar

By blending principles from mechanism design, algorithms, machine learning and massive distributed computing, the search industry has become good at optimizing monetization on sound scientific principles. This represents a successful and growing partnership between computer science and microeconomics. When it comes to understanding how online users respond to the content and experiences presented to them, we have more of a lacuna in the collaboration between computer science and certain social sciences. We will use a concrete technical example from image search results presentation, developing in the process some algorithmic and machine learning problems of interest in their own right. We then use this example to motivate the kinds of studies that need to grow between computer science and the social sciences; a critical element of this is the need to blend large-scale data analysis with smaller-scale eye-tracking and "individualized" lab studies.

The services-oriented architecture: ecosystem services as a framework for diagnosing change in social ecological systems

Treesearch

Philip A. Loring; F. Stuart Chapin; S. Craig Gerlach

2008-01-01

Computational thinking (CT) is a way to solve problems and understand complex systems that draws on concepts fundamental to computer science and is well suited to the challenges that face researchers of complex, linked social-ecological systems. This paper explores CT's usefulness to sustainability science through the application of the services-oriented...

On teaching computer ethics within a computer science department.

PubMed

Quinn, Michael J

2006-04-01

The author has surveyed a quarter of the accredited undergraduate computer science programs in the United States. More than half of these programs offer a 'social and ethical implications of computing' course taught by a computer science faculty member, and there appears to be a trend toward teaching ethics classes within computer science departments. Although the decision to create an 'in house' computer ethics course may sometimes be a pragmatic response to pressure from the accreditation agency, this paper argues that teaching ethics within a computer science department can provide students and faculty members with numerous benefits. The paper lists topics that can be covered in a computer ethics course and offers some practical suggestions for making the course successful.

Understanding and Harnessing the Power of Ideas, Persuasion, and Trust

DTIC Science & Technology

2013-09-17

thought leaders from across the behavioral, social, political, anthropological and computer sciences to aid in the identification of current knowledge...engagement of over 40 global thought leaders from across the behavioral, social, political, anthropological and computer sciences to aid in the...Chair: RTO Symposium on the Role of Humans in Automated 2002 Systems. Oct 2002; Warsaw, Poland .  Member, NATO Technical Group on Battle Space

New Technology: Servant or Master of Social Science?

ERIC Educational Resources Information Center

Homan, Roger

1984-01-01

Computers set back rather than advance social science education. Social studies, history, and political education have been blown off course by the advent of hardware and are being made to serve the cause of new technology rather than pursue their proper objectives of developing affective and qualitative understanding. (Author/IS)

Eyetracking Methodology in SCMC: A Tool for Empowering Learning and Teaching

ERIC Educational Resources Information Center

Stickler, Ursula; Shi, Lijing

2017-01-01

Computer-assisted language learning, or CALL, is an interdisciplinary area of research, positioned between science and social science, computing and education, linguistics and applied linguistics. This paper argues that by appropriating methods originating in some areas of CALL-related research, for example human-computer interaction (HCI) or…

Optimists Have More Fun, but Do They Learn Better? On the Influence of Emotional and Social Factors on Learning Introductory Computer Science

ERIC Educational Resources Information Center

Bennedsen, Jens; Caspersen, Michael E.

2008-01-01

In order to better understand predictors of success and, when possible, improve the design of the first year computer science courses at university to increase the likelihood of success, we study a number of factors that may potentially indicate students' computer science aptitude. Based on findings in general education, we have studied the…

Understanding System of Systems Development Using an Agent-Based Wave Model

DTIC Science & Technology

2012-01-01

Procedia Computer Science Procedia Computer Science 00 (2012) 000–000 www.elsevier.com/locate/ procedia Complex Adaptive Systems...integration of technical systems as well as cognitive and social processes, which alter system behavior [6]. As mentioned before * Corresponding...Prescribed by ANSI Std Z39-18 Acheson/ Procedia Computer Science 00 (2012) 000–000 most system architects assume that SoS participants exhibit

Yearning to Give Back: Searching for Social Purpose in Computer Science and Engineering.

PubMed

Carrigan, Coleen M

2017-01-01

Computing is highly segregated and stratified by gender. While there is abundant scholarship investigating this problem, emerging evidence suggests that a hierarchy of value exists between the social and technical dimensions of Computer Science and Engineering (CSE) and this plays a role in the underrepresentation of women in the field. This ethnographic study of women's experiences in computing offers evidence of a systemic preference for the technical dimensions of computing over the social and a correlation between gender and social aspirations. Additionally, it suggests there is a gap between the exaltation of computing's social contributions and the realities of them. My participants expressed a yearning to contribute to the collective well-being of society using their computing skills. I trace moments of rupture in my participants' stories, moments when they felt these aspirations were in conflict with the cultural values in their organizations. I interpret these ruptures within a consideration of yearning, a need my participants had to contribute meaningfully to society that remained unfulfilled. The yearning to align one's altruistic values with one's careers aspirations in CSE illuminates an area for greater exploration on the path to realizing gender equity in computing. I argue that before a case can be made that careers in computing do indeed contribute to social and civil engagements, we must first address the meaning of the social within the values, ideologies and practices of CSE institutions and next, develop ways to measure and evaluate the field's contributions to society.

Yearning to Give Back: Searching for Social Purpose in Computer Science and Engineering

PubMed Central

Carrigan, Coleen M.

2017-01-01

Computing is highly segregated and stratified by gender. While there is abundant scholarship investigating this problem, emerging evidence suggests that a hierarchy of value exists between the social and technical dimensions of Computer Science and Engineering (CSE) and this plays a role in the underrepresentation of women in the field. This ethnographic study of women's experiences in computing offers evidence of a systemic preference for the technical dimensions of computing over the social and a correlation between gender and social aspirations. Additionally, it suggests there is a gap between the exaltation of computing's social contributions and the realities of them. My participants expressed a yearning to contribute to the collective well-being of society using their computing skills. I trace moments of rupture in my participants' stories, moments when they felt these aspirations were in conflict with the cultural values in their organizations. I interpret these ruptures within a consideration of yearning, a need my participants had to contribute meaningfully to society that remained unfulfilled. The yearning to align one's altruistic values with one's careers aspirations in CSE illuminates an area for greater exploration on the path to realizing gender equity in computing. I argue that before a case can be made that careers in computing do indeed contribute to social and civil engagements, we must first address the meaning of the social within the values, ideologies and practices of CSE institutions and next, develop ways to measure and evaluate the field's contributions to society. PMID:28790936

Manifesto of computational social science

NASA Astrophysics Data System (ADS)

Conte, R.; Gilbert, N.; Bonelli, G.; Cioffi-Revilla, C.; Deffuant, G.; Kertesz, J.; Loreto, V.; Moat, S.; Nadal, J.-P.; Sanchez, A.; Nowak, A.; Flache, A.; San Miguel, M.; Helbing, D.

2012-11-01

The increasing integration of technology into our lives has created unprecedented volumes of data on society's everyday behaviour. Such data opens up exciting new opportunities to work towards a quantitative understanding of our complex social systems, within the realms of a new discipline known as Computational Social Science. Against a background of financial crises, riots and international epidemics, the urgent need for a greater comprehension of the complexity of our interconnected global society and an ability to apply such insights in policy decisions is clear. This manifesto outlines the objectives of this new scientific direction, considering the challenges involved in it, and the extensive impact on science, technology and society that the success of this endeavour is likely to bring about.

Vectors into the Future of Mass and Interpersonal Communication Research: Big Data, Social Media, and Computational Social Science.

PubMed

Cappella, Joseph N

2017-10-01

Simultaneous developments in big data, social media, and computational social science have set the stage for how we think about and understand interpersonal and mass communication. This article explores some of the ways that these developments generate 4 hypothetical "vectors" - directions - into the next generation of communication research. These vectors include developments in network analysis, modeling interpersonal and social influence, recommendation systems, and the blurring of distinctions between interpersonal and mass audiences through narrowcasting and broadcasting. The methods and research in these arenas are occurring in areas outside the typical boundaries of the communication discipline but engage classic, substantive questions in mass and interpersonal communication.

The science in social science

PubMed Central

Bernard, H. Russell

2012-01-01

A recent poll showed that most people think of science as technology and engineering—life-saving drugs, computers, space exploration, and so on. This was, in fact, the promise of the founders of modern science in the 17th century. It is less commonly understood that social and behavioral sciences have also produced technologies and engineering that dominate our everyday lives. These include polling, marketing, management, insurance, and public health programs. PMID:23213222

Relationship between Gender Identity, Perceived Social Support for Using Computers, and Computer Self-Efficacy and Value Beliefs of Undergraduate Students

ERIC Educational Resources Information Center

Deechuay, Naraphol; Koul, Ravinder; Maneewan, Sorakrich; Lerdpornkulrat, Thanita

2016-01-01

This study investigated relationship between gender identity, social support for using computers and computer self-efficacy and value beliefs. Data was collected from first year undergraduate students at a university near Bangkok (72.3% females, mean age = 18.52 years). The respondents in our survey did not intend to major in computer sciences.…

A Fuzzy Evaluation Method for System of Systems Meta-architectures

DTIC Science & Technology

2013-03-01

Procedia Computer Science Procedia Computer Science 00 (2013) 000–000 www.elsevier.com/locate/ procedia Conference on Systems Engineering...boundary includes integration of technical systems as well as cognitive and social processes, which alter system behavior [2]. Most system architects...unclassified c. THIS PAGE unclassified Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18 Pape/ Procedia Computer Science 00 (2013) 000

Computing and the social organization of academic work

NASA Astrophysics Data System (ADS)

Shields, Mark A.; Graves, William; Nyce, James M.

1992-12-01

This article discusses the academic computing movement during the 1980s. We focus on the Faculty Workstations Project at Brown University, where major computing initiatives were undertaken during the 1980s. Six departments are compared: chemistry, cognitive and linguistic sciences, geology, music, neural science, and sociology. We discuss the theoretical implications of our study for conceptualizing the relationship of computing to academic work.

Challenges in Computational Social Modeling and Simulation for National Security Decision Making

DTIC Science & Technology

2011-06-01

This study is grounded within a system-activity theory , a logico-philosophical model of interdisciplinary research [13, 14], the concepts of social...often a difficult challenge. Ironically, social science research methods , such as ethnography , may be tremendously helpful in designing these...social sciences. Moreover, CSS projects draw on knowledge and methods from other fields of study , including graph theory , information visualization

Computational perspectives in the history of science: to the memory of Peter Damerow.

PubMed

Laubichler, Manfred D; Maienschein, Jane; Renn, Jürgen

2013-03-01

Computational methods and perspectives can transform the history of science by enabling the pursuit of novel types of questions, dramatically expanding the scale of analysis (geographically and temporally), and offering novel forms of publication that greatly enhance access and transparency. This essay presents a brief summary of a computational research system for the history of science, discussing its implications for research, education, and publication practices and its connections to the open-access movement and similar transformations in the natural and social sciences that emphasize big data. It also argues that computational approaches help to reconnect the history of science to individual scientific disciplines.

Biomedical wellness challenges and opportunities

NASA Astrophysics Data System (ADS)

Tangney, John F.

2012-06-01

The mission of ONR's Human and Bioengineered Systems Division is to direct, plan, foster, and encourage Science and Technology in cognitive science, computational neuroscience, bioscience and bio-mimetic technology, social/organizational science, training, human factors, and decision making as related to future Naval needs. This paper highlights current programs that contribute to future biomedical wellness needs in context of humanitarian assistance and disaster relief. ONR supports fundamental research and related technology demonstrations in several related areas, including biometrics and human activity recognition; cognitive sciences; computational neurosciences and bio-robotics; human factors, organizational design and decision research; social, cultural and behavioral modeling; and training, education and human performance. In context of a possible future with automated casualty evacuation, elements of current science and technology programs are illustrated.

A social science data-fusion tool and the Data Management through e-Social Science (DAMES) infrastructure.

PubMed

Warner, Guy C; Blum, Jesse M; Jones, Simon B; Lambert, Paul S; Turner, Kenneth J; Tan, Larry; Dawson, Alison S F; Bell, David N F

2010-08-28

The last two decades have seen substantially increased potential for quantitative social science research. This has been made possible by the significant expansion of publicly available social science datasets, the development of new analytical methodologies, such as microsimulation, and increases in computing power. These rich resources do, however, bring with them substantial challenges associated with organizing and using data. These processes are often referred to as 'data management'. The Data Management through e-Social Science (DAMES) project is working to support activities of data management for social science research. This paper describes the DAMES infrastructure, focusing on the data-fusion process that is central to the project approach. It covers: the background and requirements for provision of resources by DAMES; the use of grid technologies to provide easy-to-use tools and user front-ends for several common social science data-management tasks such as data fusion; the approach taken to solve problems related to data resources and metadata relevant to social science applications; and the implementation of the architecture that has been designed to achieve this infrastructure.

Evaluation of an Educational Computer Programme as a Change Agent in Science Classrooms

NASA Astrophysics Data System (ADS)

Muwanga-Zake, Johnnie Wycliffe Frank

2007-12-01

I report on benefits from 26 teacher-participant evaluators of a computer game designed to motivate learning and to ease conceptual understanding of biology in South Africa. Using a developmental, social constructivist and interpretative model, the recommendation is to include the value systems and needs of end-users (through social dialogue); curriculum issues (learning theories in the ECP and those the education authorities recommend, as well as ECP-curriculum integration); the nature of the subject the ECP presents (e.g., Nature of Science); and the compatibility of the ECP with school computers.

Social Studies: Application Units. Course II, Teachers. Computer-Oriented Curriculum. REACT (Relevant Educational Applications of Computer Technology).

ERIC Educational Resources Information Center

Tecnica Education Corp., San Carlos, CA.

This book is one of a series in Course II of the Relevant Educational Applications of Computer Technology (REACT) Project. It is designed to point out to teachers two of the major applications of computers in the social sciences: simulation and data analysis. The first section contains a variety of simulation units organized under the following…

A social implications of computing course which teaches computer ethics

DOE Office of Scientific and Technical Information (OSTI.GOV)

Pulliam, S.C.

1994-12-31

Computers are integral to today`s world, forming our society as well as responding to it, In recognition of this interaction, as well as in response to requirements by the Computer Science Accrediting Board (CSAB), many schools are incorporating computer ethics and values and addressing the social implications of computing within their curriculum. The approach discussed here is through a separate course, rather than relying on the integration of specific topics throughout the curriculum.

What do computer scientists tweet? Analyzing the link-sharing practice on Twitter.

PubMed

Schmitt, Marco; Jäschke, Robert

2017-01-01

Twitter communication has permeated every sphere of society. To highlight and share small pieces of information with possibly vast audiences or small circles of the interested has some value in almost any aspect of social life. But what is the value exactly for a scientific field? We perform a comprehensive study of computer scientists using Twitter and their tweeting behavior concerning the sharing of web links. Discerning the domains, hosts and individual web pages being tweeted and the differences between computer scientists and a Twitter sample enables us to look in depth at the Twitter-based information sharing practices of a scientific community. Additionally, we aim at providing a deeper understanding of the role and impact of altmetrics in computer science and give a glance at the publications mentioned on Twitter that are most relevant for the computer science community. Our results show a link sharing culture that concentrates more heavily on public and professional quality information than the Twitter sample does. The results also show a broad variety in linked sources and especially in linked publications with some publications clearly related to community-specific interests of computer scientists, while others with a strong relation to attention mechanisms in social media. This refers to the observation that Twitter is a hybrid form of social media between an information service and a social network service. Overall the computer scientists' style of usage seems to be more on the information-oriented side and to some degree also on professional usage. Therefore, altmetrics are of considerable use in analyzing computer science.

What do computer scientists tweet? Analyzing the link-sharing practice on Twitter

PubMed Central

Schmitt, Marco

2017-01-01

Twitter communication has permeated every sphere of society. To highlight and share small pieces of information with possibly vast audiences or small circles of the interested has some value in almost any aspect of social life. But what is the value exactly for a scientific field? We perform a comprehensive study of computer scientists using Twitter and their tweeting behavior concerning the sharing of web links. Discerning the domains, hosts and individual web pages being tweeted and the differences between computer scientists and a Twitter sample enables us to look in depth at the Twitter-based information sharing practices of a scientific community. Additionally, we aim at providing a deeper understanding of the role and impact of altmetrics in computer science and give a glance at the publications mentioned on Twitter that are most relevant for the computer science community. Our results show a link sharing culture that concentrates more heavily on public and professional quality information than the Twitter sample does. The results also show a broad variety in linked sources and especially in linked publications with some publications clearly related to community-specific interests of computer scientists, while others with a strong relation to attention mechanisms in social media. This refers to the observation that Twitter is a hybrid form of social media between an information service and a social network service. Overall the computer scientists’ style of usage seems to be more on the information-oriented side and to some degree also on professional usage. Therefore, altmetrics are of considerable use in analyzing computer science. PMID:28636619

First Look--The Aerospace Database.

ERIC Educational Resources Information Center

Kavanagh, Stephen K.; Miller, Jay G.

1986-01-01

Presents overview prepared by producer of database newly available in 1985 that covers 10 subject categories: engineering, geosciences, chemistry and materials, space sciences, aeronautics, astronautics, mathematical and computer sciences, physics, social sciences, and life sciences. Database development, unique features, document delivery, sample…

Gender and Belonging in Undergraduate Computer Science: A Comparative Case Study of Student Experiences in Gateway Courses. WCER Working Paper No. 2016-2

ERIC Educational Resources Information Center

Benbow, Ross J.; Vivyan, Erika

2016-01-01

Building from findings showing that undergraduate computer science continues to have the highest attrition rates proportionally for women within postsecondary science, technology, engineering, and mathematics disciplines--a phenomenon that defies basic social equity goals in a high status field--this paper seeks to better understand how student…

Scientific and Technological Progress: Problems for the West.

ERIC Educational Resources Information Center

de Rose, Francois

1978-01-01

Discusses the impact of science and technology on major social problems confronting the Western world. Topics include pollution and ecology, military impact, computer science, and the benefits of science and technology. (Author/MA)

76 FR 11195 - Request for Nominations of Members To Serve on the Census Scientific Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2011-03-01

..., econometrics, cognitive psychology, and computer science as they pertain to the full range of Census Bureau... technical expertise from the following disciplines: demography, economics, geography, psychology, statistics..., psychology, statistics, survey methodology, social and behavioral sciences, Information Technology, computing...

Brief History of Computer-Assisted Instruction at the Institute for Mathematical Studies in the Social Sciences.

ERIC Educational Resources Information Center

Stanford Univ., CA. Inst. for Mathematical Studies in Social Science.

In 1963, the Institute began a program of research and development in computer-assisted instruction (CAI). Their efforts have been funded at various times by the Carnegie Corporation of New York, The National Science Foundation and the United States Office of Education. Starting with a medium-sized computer and six student stations, the Institute…

Transformative Connections: Community-Based K-12 Computing Program Strives to Strengthen Academic and Career Aspirations of Its Participants

ERIC Educational Resources Information Center

Roach, Ronald

2005-01-01

The Joint Educational Facilities Inc. (JEF) computer science program has as its goal to acquaint minority and socially disadvantaged K-12 students with computer science basics and the innovative subdisciplines within the field, and to reinforce the college ambitions of participants or help them consider college as an option. A non-profit…

Human-computer interaction: psychological aspects of the human use of computing.

PubMed

Olson, Gary M; Olson, Judith S

2003-01-01

Human-computer interaction (HCI) is a multidisciplinary field in which psychology and other social sciences unite with computer science and related technical fields with the goal of making computing systems that are both useful and usable. It is a blend of applied and basic research, both drawing from psychological research and contributing new ideas to it. New technologies continuously challenge HCI researchers with new options, as do the demands of new audiences and uses. A variety of usability methods have been developed that draw upon psychological principles. HCI research has expanded beyond its roots in the cognitive processes of individual users to include social and organizational processes involved in computer usage in real environments as well as the use of computers in collaboration. HCI researchers need to be mindful of the longer-term changes brought about by the use of computing in a variety of venues.

Social Choice in a Computer-Assisted Simulation

ERIC Educational Resources Information Center

Thavikulwat, Precha

2009-01-01

Pursuing a line of inquiry suggested by Crookall, Martin, Saunders, and Coote, the author applied, within the framework of design science, an optimal-design approach to incorporate into a computer-assisted simulation two innovative social choice processes: the multiple period double auction and continuous voting. Expectations that the…

Student Sensemaking with Science Diagrams in a Computer-Based Setting

ERIC Educational Resources Information Center

Furberg, Anniken; Kluge, Anders; Ludvigsen, Sten

2013-01-01

This paper reports on a study of students' conceptual sensemaking with science diagrams within a computer-based learning environment aimed at supporting collaborative learning. Through the microanalysis of students' interactions in a project about energy and heat transfer, we demonstrate "how" representations become productive social and cognitive…

Why Don't All Professors Use Computers?

ERIC Educational Resources Information Center

Drew, David Eli

1989-01-01

Discusses the adoption of computer technology at universities and examines reasons why some professors don't use computers. Topics discussed include computer applications, including artificial intelligence, social science research, statistical analysis, and cooperative research; appropriateness of the technology for the task; the Computer Aptitude…

Differentiating between Women in Hard and Soft Science and Engineering Disciplines

ERIC Educational Resources Information Center

Camp, Amanda G.; Gilleland, Diane S.; Pearson, Carolyn; Vander Putten, James

2010-01-01

The intent of this study was to investigate characteristics that differentiate between women in soft (social, psychological, and life sciences) and hard (engineering, mathematics, computer science, physical science) science and engineering disciplines. Using the Beginning Postsecondary Students Longitudinal Study: 1996-2001 (2002), a descriptive…

Identifying economics' place amongst academic disciplines: a science or a social science?

PubMed

Hudson, John

2017-01-01

Different academic disciplines exhibit different styles, including styles in journal titles. Using data from the 2014 Research Excellence Framework (REF) in the UK we are able to identify the stylistic trends of different disciplines using 155,552 journal titles across all disciplines. Cluster analysis is then used to group the different disciplines together. The resulting identification fits the social sciences, the sciences and the arts and humanities reasonably well. Economics overall, fits best with philosophy, but the linkage is weak. When we divided economics into papers published in theory, econometrics and the remaining journals, the first two link with mathematics and computer science, particularly econometrics, and thence the sciences. The rest of economics then links with business and thence the social sciences.

The effects of home computer access and social capital on mathematics and science achievement among Asian-American high school students in the NELS:88 data set

NASA Astrophysics Data System (ADS)

Quigley, Mark Declan

The purpose of this researcher was to examine specific environmental, educational, and demographic factors and their influence on mathematics and science achievement. In particular, the researcher ascertained the interconnections of home computer access and social capital, with Asian American students and the effect on mathematics and science achievement. Coleman's theory on social capital and parental influence was used as a basis for the analysis of data. Subjects for this study were the base year students from the National Education Longitudinal Study of 1988 (NELS:88) and the subsequent follow-up survey data in 1990, 1992, and 1994. The approximate sample size for this study is 640 ethnic Asians from the NELS:88 database. The analysis was a longitudinal study based on the Student and Parent Base Year responses and the Second Follow-up survey of 1992, when the subjects were in 12th grade. Achievement test results from the NELS:88 data were used to measure achievement in mathematics and science. The NELS:88 test battery was developed to measure both individual status and a student's growth in a number of achievement areas. The subject's responses were analyzed by principal components factor analysis, weights, effect sizes, hierarchial regression analysis, and PLSPath Analysis. The results of this study were that prior ability in mathematics and science is a major influence in the student's educational achievement. Findings from the study support the view that home computer access has a negative direct effect on mathematics and science achievement for both Asian American males and females. None of the social capital factors in the study had either a negative or positive direct effect on mathematics and science achievement although some indirect effects were found. Suggestions were made toward increasing parental involvement in their children's academic endeavors. Computer access in the home should be considered related to television viewing and should be closely monitored by the parents to promote educational uses.

Foreign Science and Engineering Doctoral Attainment at American Universities

ERIC Educational Resources Information Center

Hamilton, Robert V.

2010-01-01

This dissertation analyzes the nearly 100,000 foreign students who attained science and engineering (S&E) doctorates in the five fields of physical sciences, life sciences, engineering, mathematics and computer sciences, and social and behavioral sciences at American universities from 1994 to 2005. Two models are presented. In the first model…

Computers as Media for Communication: Learning and Development in a Whole Earth Context.

ERIC Educational Resources Information Center

Levin, James A.

Educationally successful electronic network activities involving microcomputers and long-distance networks include a student newswire, joint social science projects, and joint science projects. A newswire activity, such as "The Computer Chronicles," can provide a wide range of audiences for writing, a functional environment for reading, and a…

The Computer Science Technical Report (CS-TR) Project: A Pioneering Digital Library Project Viewed from a Library Perspective.

ERIC Educational Resources Information Center

Anderson, Greg; And Others

1996-01-01

Describes the Computer Science Technical Report Project, one of the earliest investigations into the system engineering of digital libraries which pioneered multiinstitutional collaborative research into technical, social, and legal issues related to the development and implementation of a large, heterogeneous, distributed digital library. (LRW)

Social Software and Academic Practice: Postgraduate Students as Co-Designers of Web 2.0 Tools

ERIC Educational Resources Information Center

Carmichael, Patrick; Burchmore, Helen

2010-01-01

In order to develop potentially transformative Web 2.0 tools in higher education, the complexity of existing academic practices, including current patterns of technology use, must be recognised. This paper describes how a series of participatory design activities allowed postgraduate students in education, social sciences and computer sciences to…

Data Archives for the Social Sciences: Purposes, Operations and Problems.

ERIC Educational Resources Information Center

Nasatir, David

Social science data, existing in a format that can be manipulated by computing machinery, can be used for many purposes in addition to those for which they were initially collected. Scholars and government planners should hve ready and equal access to such material and these groups will be best served if they are informed regarding the…

Improving Family Forest Knowledge Transfer through Social Network Analysis

ERIC Educational Resources Information Center

Gorczyca, Erika L.; Lyons, Patrick W.; Leahy, Jessica E.; Johnson, Teresa R.; Straub, Crista L.

2012-01-01

To better engage Maine's family forest landowners our study used social network analysis: a computational social science method for identifying stakeholders, evaluating models of engagement, and targeting areas for enhanced partnerships. Interviews with researchers associated with a research center were conducted to identify how social network…

Only One Science: Twelfth Annual Report of the National Science Board.

ERIC Educational Resources Information Center

National Science Foundation, Washington, DC. National Science Board.

Departing markedly from previous reports to Congress by the National Science Board, this document presents in an informal, narrative style six stories depicting scientific discoveries and their effects on society. Drawn from the physical, biological, medical, and social sciences, topics discussed include: (1) computers and semiconductors; (2)…

Exploring Students Intentions to Study Computer Science and Identifying the Differences among ICT and Programming Based Courses

ERIC Educational Resources Information Center

Giannakos, Michail N.

2014-01-01

Computer Science (CS) courses comprise both Programming and Information and Communication Technology (ICT) issues; however these two areas have substantial differences, inter alia the attitudes and beliefs of the students regarding the intended learning content. In this research, factors from the Social Cognitive Theory and Unified Theory of…

The FuturICT education accelerator

NASA Astrophysics Data System (ADS)

Johnson, J.; Buckingham Shum, S.; Willis, A.; Bishop, S.; Zamenopoulos, T.; Swithenby, S.; MacKay, R.; Merali, Y.; Lorincz, A.; Costea, C.; Bourgine, P.; Louçã, J.; Kapenieks, A.; Kelley, P.; Caird, S.; Bromley, J.; Deakin Crick, R.; Goldspink, C.; Collet, P.; Carbone, A.; Helbing, D.

2012-11-01

Education is a major force for economic and social wellbeing. Despite high aspirations, education at all levels can be expensive and ineffective. Three Grand Challenges are identified: (1) enable people to learn orders of magnitude more effectively, (2) enable people to learn at orders of magnitude less cost, and (3) demonstrate success by exemplary interdisciplinary education in complex systems science. A ten year `man-on-the-moon' project is proposed in which FuturICT's unique combination of Complexity, Social and Computing Sciences could provide an urgently needed transdisciplinary language for making sense of educational systems. In close dialogue with educational theory and practice, and grounded in the emerging data science and learning analytics paradigms, this will translate into practical tools (both analytical and computational) for researchers, practitioners and leaders; generative principles for resilient educational ecosystems; and innovation for radically scalable, yet personalised, learner engagement and assessment. The proposed Education Accelerator will serve as a `wind tunnel' for testing these ideas in the context of real educational programmes, with an international virtual campus delivering complex systems education exploiting the new understanding of complex, social, computationally enhanced organisational structure developed within FuturICT.

The physics of teams: Interdependence, measurable entropy and computational emotion

NASA Astrophysics Data System (ADS)

Lawless, William F.

2017-08-01

Most of the social sciences, including psychology, economics and subjective social network theory, are modeled on the individual, leaving the field not only a-theoretical, but also inapplicable to a physics of hybrid teams, where hybrid refers to arbitrarily combining humans, machines and robots into a team to perform a dedicated mission (e.g., military, business, entertainment) or to solve a targeted problem (e.g., with scientists, engineers, entrepreneurs). As a common social science practice, the ingredient at the heart of the social interaction, interdependence, is statistically removed prior to the replication of social experiments; but, as an analogy, statistically removing social interdependence to better study the individual is like statistically removing quantum effects as a complication to the study of the atom. Further, in applications of Shannon’s information theory to teams, the effects of interdependence are minimized, but even there, interdependence is how classical information is transmitted. Consequently, numerous mistakes are made when applying non-interdependent models to policies, the law and regulations, impeding social welfare by failing to exploit the power of social interdependence. For example, adding redundancy to human teams is thought by subjective social network theorists to improve the efficiency of a network, easily contradicted by our finding that redundancy is strongly associated with corruption in non-free markets. Thus, built atop the individual, most of the social sciences, economics and social network theory have little if anything to contribute to the engineering of hybrid teams. In defense of the social sciences, the mathematical physics of interdependence is elusive, non-intuitive and non-rational. However, by replacing determinism with bistable states, interdependence at the social level mirrors entanglement at the quantum level, suggesting the applicability of quantum tools for social science. We report how our quantum-like models capture some of the essential aspects of interdependence, a tool for the metrics of hybrid teams; as an example, we find additional support for our model of the solution to the open problem of team size. We also report on progress with the theory of computational emotion for hybrid teams, linking it qualitatively to the second law of thermodynamics. We conclude that the science of interdependence

Evaluation of an Educational Computer Programme as a Change Agent in Science Classrooms

ERIC Educational Resources Information Center

Muwanga-Zake, Johnnie Wycliffe Frank

2007-01-01

I report on benefits from 26 teacher-participant evaluators of a computer game designed to motivate learning and to ease conceptual understanding of biology in South Africa. Using a developmental, social constructivist and interpretative model, the recommendation is to include the value systems and needs of end-users (through social dialogue);…

Improving learning with science and social studies text using computer-based concept maps for students with disabilities.

PubMed

Ciullo, Stephen; Falcomata, Terry S; Pfannenstiel, Kathleen; Billingsley, Glenna

2015-01-01

Concept maps have been used to help students with learning disabilities (LD) improve literacy skills and content learning, predominantly in secondary school. However, despite increased access to classroom technology, no previous studies have examined the efficacy of computer-based concept maps to improve learning from informational text for students with LD in elementary school. In this study, we used a concurrent delayed multiple probe design to evaluate the interactive use of computer-based concept maps on content acquisition with science and social studies texts for Hispanic students with LD in Grades 4 and 5. Findings from this study suggest that students improved content knowledge during intervention relative to a traditional instruction baseline condition. Learning outcomes and social validity information are considered to inform recommendations for future research and the feasibility of classroom implementation. © The Author(s) 2014.

Conflict Management in Collaborative Engineering Design: Basic Research in Fundamental Theory, Modeling Framework, and Computer Support for Collaborative Engineering Activities

DTIC Science & Technology

2002-01-01

behaviors are influenced by social interactions, and to how modern IT sys- tems should be designed to support these group technical activities. The...engineering disciplines to behavior, decision, psychology, organization, and the social sciences. “Conflict manage- ment activity in collaborative...Researchers instead began to search for an entirely new paradigm, starting from a theory in social science, to construct a conceptual framework to describe

Computers, Networks, and Desegregation at San Jose High Academy.

ERIC Educational Resources Information Center

Solomon, Gwen

1987-01-01

Describes magnet high school which was created in California to meet desegregation requirements and emphasizes computer technology. Highlights include local computer networks that connect science and music labs, the library/media center, business computer lab, writing lab, language arts skills lab, and social studies classrooms; software; teacher…

Gendered Narratives of Innovation through Competition: Lessons from Science and Technology Studies

ERIC Educational Resources Information Center

Calvert, Scout

2013-01-01

Library and information science is a technologically intensive profession with a high percentage of women, unlike computer science and other male-dominated fields. On the occasion of the 2011 ALISE conference, this essay analyzes the theme "Competitiveness and Innovation" through a review of social psychology and science and technology…

The Effectiveness of Interactive Computer Assisted Modeling in Teaching Study Strategies and Concept Mapping of College Textbook Material.

ERIC Educational Resources Information Center

Mikulecky, Larry

A study evaluated the effectiveness of a series of print materials and interactive computer-guided study programs designed to lead undergraduate students to apply basic textbook reading and concept mapping strategies to the study of science and social science textbooks. Following field testing with 25 learning skills students, 50 freshman biology…

News Focus: NSF Director Erich Bloch Discusses Foundation's Problems, Outlook.

ERIC Educational Resources Information Center

Chemical and Engineering News, 1987

1987-01-01

Relates the comments offered in an interview with Erich Bloch, the National Science Foundation (NSF) Director. Discusses issues related to NSF and its funding, engineering research centers, involvement with industry, concern for science education, computer centers, and its affiliation with the social sciences. (ML)

Opportunities and challenges of big data for the social sciences: The case of genomic data.

PubMed

Liu, Hexuan; Guo, Guang

2016-09-01

In this paper, we draw attention to one unique and valuable source of big data, genomic data, by demonstrating the opportunities they provide to social scientists. We discuss different types of large-scale genomic data and recent advances in statistical methods and computational infrastructure used to address challenges in managing and analyzing such data. We highlight how these data and methods can be used to benefit social science research. Copyright © 2016 Elsevier Inc. All rights reserved.

Commonwealth of Independent States aerospace science and technology, 1992: A bibliography with indexes

NASA Technical Reports Server (NTRS)

1993-01-01

This bibliography contains 1237 annotated references to reports and journal articles of Commonwealth of Independent States (CIS) intellectual origin entered into the NASA Scientific and Technical Information System during 1992. Representative subject areas include the following: aeronautics, astronautics, chemistry and materials, engineering, geosciences, life sciences, mathematical and computer sciences, physics, social sciences, and space sciences.

Interactive Technologies and the Social Studies. Emerging Issues and Applications.

ERIC Educational Resources Information Center

Martorella, Peter H., Ed.

This book includes contributions from seven authors with diverse backgrounds, whose specializations include the area of social studies education, software development, computer science, and visual design. The chapters are: (1) "Online Learning Communities: Implications for the Social Studies" (Lynn A. Fontana); (2) "Bringing Preservice Teachers…

Teaching through Interactive Multi-Media Programming. A New Philosophy of the Social Sciences and a New Epistemology of Creativity.

ERIC Educational Resources Information Center

Riskin, Steve R.

This paper discusses the results of an experimental, non-traditional university class in sociology in which students produced an interactive multimedia module in a social science subject area using a computer system that allowed instant access to film, sound, television, images, and text. There were no constraints on the selection of media, or the…

Computers for the Faculty: How on a Limited Budget.

ERIC Educational Resources Information Center

Arman, Hal; Kostoff, John

An informal investigation of the use of computers at Delta College (DC) in Michigan revealed reasonable use of computers by faculty in disciplines such as mathematics, business, and technology, but very limited use in the humanities and social sciences. In an effort to increase faculty computer usage, DC decided to make computers available to any…

Interests diffusion on a semantic multiplex. Comparing Computer Science and American Physical Society communities

NASA Astrophysics Data System (ADS)

D'Agostino, Gregorio; De Nicola, Antonio

2016-10-01

Exploiting the information about members of a Social Network (SN) represents one of the most attractive and dwelling subjects for both academic and applied scientists. The community of Complexity Science and especially those researchers working on multiplex social systems are devoting increasing efforts to outline general laws, models, and theories, to the purpose of predicting emergent phenomena in SN's (e.g. success of a product). On the other side the semantic web community aims at engineering a new generation of advanced services tailored to specific people needs. This implies defining constructs, models and methods for handling the semantic layer of SNs. We combined models and techniques from both the former fields to provide a hybrid approach to understand a basic (yet complex) phenomenon: the propagation of individual interests along the social networks. Since information may move along different social networks, one should take into account a multiplex structure. Therefore we introduced the notion of "Semantic Multiplex". In this paper we analyse two different semantic social networks represented by authors publishing in the Computer Science and those in the American Physical Society Journals. The comparison allows to outline common and specific features.

An Ethnomethodological Perspective on How Middle School Students Addressed a Water Quality Problem

ERIC Educational Resources Information Center

Belland, Brian R.; Gu, Jiangyue; Kim, Nam Ju; Turner, David J.

2016-01-01

Science educators increasingly call for students to address authentic scientific problems in science class. One form of authentic science problem--socioscientific issue--requires that students engage in complex reasoning by considering both scientific and social implications of problems. Computer-based scaffolding can support this process by…

Toward Using Games to Teach Fundamental Computer Science Concepts

ERIC Educational Resources Information Center

Edgington, Jeffrey Michael

2010-01-01

Video and computer games have become an important area of study in the field of education. Games have been designed to teach mathematics, physics, raise social awareness, teach history and geography, and train soldiers in the military. Recent work has created computer games for teaching computer programming and understanding basic algorithms. …

Computational Social Science: Exciting Progress and Future Challenges

NASA Astrophysics Data System (ADS)

Watts, Duncan

The past 15 years have witnessed a remarkable increase in both the scale and scope of social and behavioral data available to researchers, leading some to herald the emergence of a new field: ``computational social science.'' Against these exciting developments stands a stubborn fact: that in spite of many thousands of published papers, there has been surprisingly little progress on the ``big'' questions that motivated the field in the first place--questions concerning systemic risk in financial systems, problem solving in complex organizations, and the dynamics of epidemics or social movements, among others. In this talk I highlight some examples of research that would not have been possible just a handful of years ago and that illustrate the promise of CSS. At the same time, they illustrate its limitations. I then conclude with some thoughts on how CSS can bridge the gap between its current state and its potential.

Teaching Psychology Students Computer Applications.

ERIC Educational Resources Information Center

Atnip, Gilbert W.

This paper describes an undergraduate-level course designed to teach the applications of computers that are most relevant in the social sciences, especially psychology. After an introduction to the basic concepts and terminology of computing, separate units were devoted to word processing, data analysis, data acquisition, artificial intelligence,…

Most Social Scientists Shun Free Use of Supercomputers.

ERIC Educational Resources Information Center

Kiernan, Vincent

1998-01-01

Social scientists, who frequently complain that the federal government spends too little on them, are passing up what scholars in the physical and natural sciences see as the government's best give-aways: free access to supercomputers. Some social scientists say the supercomputers are difficult to use; others find desktop computers provide…

Understanding Islamist political violence through computational social simulation

DOE Office of Scientific and Technical Information (OSTI.GOV)

Watkins, Jennifer H; Mackerrow, Edward P; Patelli, Paolo G

Understanding the process that enables political violence is of great value in reducing the future demand for and support of violent opposition groups. Methods are needed that allow alternative scenarios and counterfactuals to be scientifically researched. Computational social simulation shows promise in developing 'computer experiments' that would be unfeasible or unethical in the real world. Additionally, the process of modeling and simulation reveals and challenges assumptions that may not be noted in theories, exposes areas where data is not available, and provides a rigorous, repeatable, and transparent framework for analyzing the complex dynamics of political violence. This paper demonstrates themore » computational modeling process using two simulation techniques: system dynamics and agent-based modeling. The benefits and drawbacks of both techniques are discussed. In developing these social simulations, we discovered that the social science concepts and theories needed to accurately simulate the associated psychological and social phenomena were lacking.« less

Development of Experimental Army Enlisted Personnel Selection and Classification Tests and Job Performance Criteria

DTIC Science & Technology

2005-08-01

Covers interaction of type, image, motion, sound, and sequence in Design staging for various media formats including commercials. 3 Computer Programming...the Behavioral & Social Sciences ARI 2511 Jefferson Davis Highway 11. MONITOR REPORT NUMBER Arlington, VA 22202-3926 Technical Report 1168 12...situational judgment test, and indicators of person-environment fit (e.g., job satisfaction). 15. SUBJECT TERMS Behavioral and social science Personnel

CAPSAS: Computer Assisted Program for the Selection of Appropriate Statistics.

ERIC Educational Resources Information Center

Shermis, Mark D.; Albert, Susan L.

A computer-assisted program has been developed for the selection of statistics or statistical techniques by both students and researchers. Based on Andrews, Klem, Davidson, O'Malley and Rodgers "A Guide for Selecting Statistical Techniques for Analyzing Social Science Data," this FORTRAN-compiled interactive computer program was…

Index to College Television Courseware. A Comprehensive Directory of Credit Courses and Concept Modules Distributed on Video Tape and Film.

ERIC Educational Resources Information Center

Prange, W. Werner; Bellinghausen, Carol R.

A directory of college television courseware lists offerings in curriculum areas such as: social sciences, biology, black studies, business, mathematics, sciences, computer science, consumer protection, creative arts, drug education, ecology, engineering, humanities, physics, nursing, nutrition, religion, and vocational education, etc. Each course…

JPRS Report, Science & Technology, Europe & Latin America

DTIC Science & Technology

1988-04-06

courses and in polytechnics a growing number of undergraduate research theses [ tesi di laurea] are increasingly coming to resemble authentic feasibility...Information Science Eleven Priorities Research Priority Actions — Microbiological engineering —Enzyme engineering —Biotechnological engineering —Food...Foodstuffs Medicine Human and social sciences Technology, computer-integrated manufacturing Electronics, data processing Microbiological

Retrospective Evaluation of a Collaborative LearningScience Module: The Users' Perspective

ERIC Educational Resources Information Center

DeWitt, Dorothy; Siraj, Saedah; Alias, Norlidah; Leng, Chin Hai

2013-01-01

This study focuses on the retrospective evaluation of collaborative mLearning (CmL) Science module for teaching secondary school science which was designed based on social constructivist learning theories and Merrill's First Principle of Instruction. This study is part of a developmental research in which computer-mediated communication (CMC)…

Software for the Humanities and Social Sciences.

ERIC Educational Resources Information Center

National Collegiate Software Clearinghouse, Raleigh, NC.

This computer software program bibliography available from the National Collegiate Software Clearinghouse (NCSC) includes programs for college students and researchers in anthropology, economics and business, education, English and text analysis, foreign language, general interest, history, management, philosophy and religion, political science,…

Symposium Connects Government Problems with State of the Art Network Science Research

DTIC Science & Technology

2015-10-16

Symposium Connects Government Problems with State-of-the- Art Network Science Research By Rajmonda S. Caceres and Benjamin A. Miller Network...the US Gov- ernment, and match these with the state-of-the- art models and techniques developed in the network science research community. Since its... science has grown significantly in the last several years as a field at the intersec- tion of mathematics, computer science , social science , and engineering

Quantitative and Qualitative Evaluation of The Structural Designing of Medical Informatics Dynamic Encyclopedia.

PubMed

Safdari, Reza; Shahmoradi, Leila; Hosseini-Beheshti, Molouk-Sadat; Nejad, Ahmadreza Farzaneh; Hosseiniravandi, Mohammad

2015-10-01

Encyclopedias and their compilation have become so prevalent as a valid cultural medium in the world. The daily development of computer industry and the expansion of various sciences have made indispensable the compilation of electronic, specialized encyclopedias, especially the web-based ones. This is an applied-developmental study conducted in 2014. First, the main terms in the field of medical informatics were gathered using MeSH Online 2014 and the supplementary terms of each were determined, and then the tree diagram of the terms was drawn based on their relationship in MeSH. Based on the studies done by the researchers, the tree diagram of the encyclopedia was drawn with respect to the existing areas in this field, and the terms gathered were put in related domains. In MeSH, 75 preferred terms together with 249 supplementary ones were indexed. One of the informatics' sub-branches is biomedical informatics and health which itself consists of three sub-divisions of bioinformatics, clinical informatics, and health informatics. Medical informatics which is a subdivision of clinical informatics has developed from the three fields of medical sciences, management and social sciences, and computational sciences and mathematics. Medical Informatics is created of confluence and fusion and applications of the three major scientific branches include health and biological sciences, social sciences and management sciences, computing and mathematical sciences, and according to that the structure of MeSH is weak for future development of Encyclopedia of Medical Informatics.

Bonus Activity Book.

ERIC Educational Resources Information Center

Learning, 1992

1992-01-01

Provides on-task activities to fill in unexpected extra moments in elementary classes. The activities require little preparation and take 5-15 minutes to complete. There are activities for math, language arts, social science, science, critical thinking, and computer. An outer space board game is also included. (SM)

25 CFR 36.3 - Definitions.

Code of Federal Regulations, 2012 CFR

2012-04-01

... education emphasizing literacy in language arts, mathematics, natural and physical sciences, history, and related social sciences. Bureau means the Bureau of Indian Affairs of the Department of the Interior... specified level of mastery. Computer literacy used here means the general range of skills and understanding...

25 CFR 36.3 - Definitions.

Code of Federal Regulations, 2013 CFR

2013-04-01

... education emphasizing literacy in language arts, mathematics, natural and physical sciences, history, and related social sciences. Bureau means the Bureau of Indian Affairs of the Department of the Interior... specified level of mastery. Computer literacy used here means the general range of skills and understanding...

25 CFR 36.3 - Definitions.

Code of Federal Regulations, 2014 CFR

2014-04-01

... education emphasizing literacy in language arts, mathematics, natural and physical sciences, history, and related social sciences. Bureau means the Bureau of Indian Affairs of the Department of the Interior... specified level of mastery. Computer literacy used here means the general range of skills and understanding...

Using Microcomputers Simulations in the Classroom: Examples from Undergraduate and Faculty Computer Literacy Courses.

ERIC Educational Resources Information Center

Hart, Jeffrey A.

1985-01-01

Presents a discussion of how computer simulations are used in two undergraduate social science courses and a faculty computer literacy course on simulations and artificial intelligence. Includes a list of 60 simulations for use on mainframes and microcomputers. Entries include type of hardware required, publisher's address, and cost. Sample…

Religious Studies as a Test-Case For Computer-Assisted Instruction In The Humanities.

ERIC Educational Resources Information Center

Jones, Bruce William

Experiences with computer-assisted instructional (CAI) programs written for religious studies indicate that CAI has contributions to offer the humanities and social sciences. The usefulness of the computer for presentation, drill and review of factual material and its applicability to quantifiable data is well accepted. There now exist…

"Using Power Tables to Compute Statistical Power in Multilevel Experimental Designs"

ERIC Educational Resources Information Center

Konstantopoulos, Spyros

2009-01-01

Power computations for one-level experimental designs that assume simple random samples are greatly facilitated by power tables such as those presented in Cohen's book about statistical power analysis. However, in education and the social sciences experimental designs have naturally nested structures and multilevel models are needed to compute the…

Computers in Bilingual Education, Project CIBE, 1987-88. Evaluation Section Report. OREA Report.

ERIC Educational Resources Information Center

Berney, Tomi D.; Alvarez, Rosalyn

Computers in Bilingual Education (Project CIBE) was fully implemented at South Bronx High School in its fourth year of federal funding. During the 1987-88 school year, students received computer-assisted and classroom instruction in English as a Second Language (ESL), native language arts (NLA), social studies, mathematics, science, computer…

Closing the race and gender gaps in computer science education

NASA Astrophysics Data System (ADS)

Robinson, John Henry

Life in a technological society brings new paradigms and pressures to bear on education. These pressures are magnified for underrepresented students and must be addressed if they are to play a vital part in society. Educational pipelines need to be established to provide at risk students with the means and opportunity to succeed in science, technology, engineering, and mathematics (STEM) majors. STEM educational pipelines are programs consisting of components that seek to facilitate students' completion of a college degree by providing access to higher education, intervention, mentoring, support infrastructure, and programs that encourage academic success. Successes in the STEM professions mean that more educators, scientist, engineers, and researchers will be available to add diversity to the professions and to provide role models for future generations. The issues that the educational pipelines must address are improving at risk groups' perceptions and awareness of the math, science, and engineering professions. Additionally, the educational pipelines must provide intervention in math preparation, overcome gender and race socialization, and provide mentors and counseling to help students achieve better self perceptions and provide positive role models. This study was designed to explorer the underrepresentation of minorities and women in the computer science major at Rowan University through a multilayered action research methodology. The purpose of this research study was to define and understand the needs of underrepresented students in computer science, to examine current policies and enrollment data for Rowan University, to develop a historical profile of the Computer Science program from the standpoint of ethnicity and gender enrollment to ascertain trends in students' choice of computer science as a major, and an attempt to determine if raising awareness about computer science for incoming freshmen, and providing an alternate route into the computer science major will entice more women and minorities to pursue a degree in computer science at Rowan University. Finally, this study examined my espoused leadership theories and my leadership theories in use through reflective practices as I progressed through the cycles of this project. The outcomes of this study indicated a large downward trend in women enrollment in computer science and a relatively flat trend in minority enrollment. The enrollment data at Rowan University was found to follow a nationwide trend for underrepresented students' enrollment in STEM majors. The study also indicated that students' mental models are based upon their race and gender socialization and their understanding of the world and society. The mental models were shown to play a large role in the students' choice of major. Finally, a computer science pipeline was designed and piloted as part of this study in an attempt to entice more students into the major and facilitate their success. Additionally, the mental models of the participants were challenged through interactions to make them aware of what possibilities are available with a degree in computer science. The entire study was wrapped in my leadership, which was practiced and studied over the course of this work.

Center for Center for Technology for Advanced Scientific Component Software (TASCS)

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kostadin, Damevski

A resounding success of the Scientific Discovery through Advanced Computing (SciDAC) program is that high-performance computational science is now universally recognized as a critical aspect of scientific discovery [71], complementing both theoretical and experimental research. As scientific communities prepare to exploit unprecedented computing capabilities of emerging leadership-class machines for multi-model simulations at the extreme scale [72], it is more important than ever to address the technical and social challenges of geographically distributed teams that combine expertise in domain science, applied mathematics, and computer science to build robust and flexible codes that can incorporate changes over time. The Center for Technologymore » for Advanced Scientific Component Software (TASCS)1 tackles these these issues by exploiting component-based software development to facilitate collaborative high-performance scientific computing.« less

Comments from the Science Education Directorate, National Science Foundation: CAUSE, ISEP, and LOCI: Three-Program Approach to College-Level Science Improvement. II. Patterns and Problems.

ERIC Educational Resources Information Center

Erickson, Judith B.; And Others

1980-01-01

Discusses patterns resulting from the monitor of science education proposals which may reflect problems or differing perceptions of NSF. Discusses these areas: proposal submissions from two-year institutions and social and behavioral scientists, trends in project content at the academic-industrial interface and in computer technology, and…

Computer Based Instruction in the U.S. Army’s Entry Level Enlisted Training.

DTIC Science & Technology

1985-03-13

rosters with essential personal data, and graduation rosters with class standings and printed diplomas. The computer also managed the progress of the...discussion is presented in Chapter Three. Methods of Employment Course administration. In 1980 the US Army Research Center for Behaviorial and Social Studies...contained in Appendix C. Data Presentation All responses from the questionaires were coded for use by the Statistical Package for the Social Sciences

The Real-World Connection.

ERIC Educational Resources Information Center

Estes, Charles R.

1994-01-01

Discusses theoretical versus applied science and the use of the scientific method for analysis of social issues. Topics addressed include the use of simulation and modeling; the growth in computer power, including nanotechnology; distributed computing; self-evolving programs; spiritual matters; human engineering, i.e., molding individuals;…

Abstracts of Research, July 1975-June 1976.

ERIC Educational Resources Information Center

Ohio State Univ., Columbus. Computer and Information Science Research Center.

Abstracts of research papers in computer and information science are given for 62 papers in the areas of information storage and retrieval; computer facilities; information analysis; linguistics analysis; artificial intelligence; information processes in physical, biological, and social systems; mathematical technigues; systems programming;…

Study of Gender Differences in Performance at the U.S. Naval Academy and U.S. Coast Guard Academy

DTIC Science & Technology

2005-06-01

teacher preparation. By using both qualitative and quantitative methods for pre-service teachers, Kelly concludes that most teachers could not identify...Engineering MATH/SCIENCE Marine and Environmental Sciences Math and Computer Science Operations Research SOCIAL SCIENCE Government...Tabachnik and Findell, 2001). Correlational research is often a good precursor to answering other questions by empirical methods . Correlations measure the

A review and exploration of sociotechnical ergonomics.

PubMed

Dirkse van Schalkwyk, Riaan; Steenkamp, Rigard J

2017-09-01

A holistic review of ergonomic history shows that science remains important for general occupational health and safety (OSH), the broad society, culture, politics and the design of everyday things. Science provides an unconventional and multifaceted viewpoint exploring ergonomics from a social, corporate and OSH perspective. Ergonomic solutions from this mindset may redefine the science, and it will change with companies that change within this socially hyper-connected world. Authentic corporate social responsibility will counter 'misleadership' by not approaching ergonomics with an afterthought. The review concludes that ergonomics will be stronger with social respect and ergonomic thinking based on the optimisation of anthropometric data, digital human models, computer-aided tools, self-empowerment, job enrichment, work enlargement, physiology, industrial psychology, cybernetic ergonomics, operations design, ergonomic-friendly process technologies, ergonomic empowerment, behaviour-based safety, outcome-based employee wellness and fatigue risk management solutions, to mention a few.

Why interdisciplinary research enriches the study of crime. Comment on "Statistical physics of crime: A review" by M.R. D'Orsogna and M. Perc

NASA Astrophysics Data System (ADS)

Donnay, Karsten

2015-03-01

The past several years have seen a rapidly growing interest in the use of advanced quantitative methodologies and formalisms adapted from the natural sciences to study a broad range of social phenomena. The research field of computational social science [1,2], for example, uses digital artifacts of human online activity to cast a new light on social dynamics. Similarly, the studies reviewed by D'Orsogna and Perc showcase a diverse set of advanced quantitative techniques to study the dynamics of crime. Methods used range from partial differential equations and self-exciting point processes to agent-based models, evolutionary game theory and network science [3].

Fundamental Fortran for Social Scientists.

ERIC Educational Resources Information Center

Veldman, Donald J.

An introduction to Fortran programming specifically for social science statistical and routine data processing is provided. The first two sections of the manual describe the components of computer hardware and software. Topics include input, output, and mass storage devices; central memory; central processing unit; internal storage of data; and…

Theoretical and Experimental Investigation of Opinion Dynamics in Small Social Networks

DTIC Science & Technology

2016-07-01

Sciences, Social Informatics and Telecommunications Engineering 2013 96 M. Gabbay described. Section 4 illustrates the application of the methodology...group of cyber terrorists has already gained access to multiple computers. The attack will attempt to disrupt and destroy a large oil refinery; at

Cloud Pedagogy: Utilizing Web-Based Technologies for the Promotion of Social Constructivist Learning in Science Teacher Preparation Courses

ERIC Educational Resources Information Center

Barak, Miri

2017-01-01

The new guidelines for science education emphasize the need to introduce computers and digital technologies as a means of enabling visualization and data collection and analysis. This requires science teachers to bring advanced technologies into the classroom and use them wisely. Hence, the goal of this study was twofold: to examine the…

Quantitative and Qualitative Evaluation of The Structural Designing of Medical Informatics Dynamic Encyclopedia

PubMed Central

Safdari, Reza; Shahmoradi, Leila; Hosseini-beheshti, Molouk-sadat; Nejad, Ahmadreza Farzaneh; Hosseiniravandi, Mohammad

2015-01-01

Introduction: Encyclopedias and their compilation have become so prevalent as a valid cultural medium in the world. The daily development of computer industry and the expansion of various sciences have made indispensable the compilation of electronic, specialized encyclopedias, especially the web-based ones. Materials and Methods: This is an applied-developmental study conducted in 2014. First, the main terms in the field of medical informatics were gathered using MeSH Online 2014 and the supplementary terms of each were determined, and then the tree diagram of the terms was drawn based on their relationship in MeSH. Based on the studies done by the researchers, the tree diagram of the encyclopedia was drawn with respect to the existing areas in this field, and the terms gathered were put in related domains. Findings: In MeSH, 75 preferred terms together with 249 supplementary ones were indexed. One of the informatics’ sub-branches is biomedical informatics and health which itself consists of three sub-divisions of bioinformatics, clinical informatics, and health informatics. Medical informatics which is a subdivision of clinical informatics has developed from the three fields of medical sciences, management and social sciences, and computational sciences and mathematics. Results and Discussion: Medical Informatics is created of confluence and fusion and applications of the three major scientific branches include health and biological sciences, social sciences and management sciences, computing and mathematical sciences, and according to that the structure of MeSH is weak for future development of Encyclopedia of Medical Informatics. PMID:26635440

Commentary: Ubiquitous Computing Revisited--A New Perspective

ERIC Educational Resources Information Center

Bull, Glen; Garofalo, Joe

2006-01-01

In 2002, representatives from the teacher educator associations representing the core content areas (science, mathematics, language arts, and social studies) and educational technology met at the National Technology Leadership Retreat (NTLR) to discuss potential implications of ubiquitous computing for K-12 schools. This paper re-examines some of…

Science and Social Science in a World Perspective.

ERIC Educational Resources Information Center

Morrissett, Irving

While notable advances in astronomy, nuclear physics, microbiology, and computer technology seem to contribute to the possibility of human betterment, each of these advances involves hazards, the most ominous being their application to warfare. While considering the wonders and hazards of scientific advance, it is necessary to consider the less…

Project Solo; Newsletter Number Seven.

ERIC Educational Resources Information Center

Pittsburgh Univ., PA. Project Solo.

The current curriculum modules under development at Project Solo are listed. The modules are grouped under the subject matter that they are designed to teach--algebra II, biology, calculus, chemistry, computer science, 12th grade math, physics, social science. Special programs written for use on the Hewlett-Packard Plotter are listed that may be…

The scientific research potential of virtual worlds.

PubMed

Bainbridge, William Sims

2007-07-27

Online virtual worlds, electronic environments where people can work and interact in a somewhat realistic manner, have great potential as sites for research in the social, behavioral, and economic sciences, as well as in human-centered computer science. This article uses Second Life and World of Warcraft as two very different examples of current virtual worlds that foreshadow future developments, introducing a number of research methodologies that scientists are now exploring, including formal experimentation, observational ethnography, and quantitative analysis of economic markets or social networks.

Complex systems and health behavior change: insights from cognitive science.

PubMed

Orr, Mark G; Plaut, David C

2014-05-01

To provide proof-of-concept that quantum health behavior can be instantiated as a computational model that is informed by cognitive science, the Theory of Reasoned Action, and quantum health behavior theory. We conducted a synthetic review of the intersection of quantum health behavior change and cognitive science. We conducted simulations, using a computational model of quantum health behavior (a constraint satisfaction artificial neural network) and tested whether the model exhibited quantum-like behavior. The model exhibited clear signs of quantum-like behavior. Quantum health behavior can be conceptualized as constraint satisfaction: a mitigation between current behavioral state and the social contexts in which it operates. We outlined implications for moving forward with computational models of both quantum health behavior and health behavior in general.

Earth observations and global change decision making: A special bibliography, 1991

NASA Technical Reports Server (NTRS)

1991-01-01

The first section of the bibliography contains 294 bibliographic citations and abstracts of relevant reports, articles, and documents announced in 'Scientific and Technical Aerospace Reports (STAR)' and 'International Aerospace Abstracts (IAA)'. These abstracts are categorized by the following major subject divisions: aeronautics, astronautics, chemistry and materials, engineering, geosciences, life sciences, mathematical and computer sciences, physics, social sciences, space sciences and general. Following the abstract section, seven indexes are provided for further assistance.

Effectiveness of Various Computer-Based Instructional Strategies in Language Teaching. Final Report, November 1, 1969-August 31, 1970.

ERIC Educational Resources Information Center

Van Campen, Joseph A.

Computer software for programed language instruction, developed in the second quarter of 1970 at Stanford's Institute for Mathematical Studies in the Social Sciences is described in this report. The software includes: (1) a PDP-10 computer assembly language for generating drill sentences; (2) a coding system allowing a large number of sentences to…

Linking Computer Algebra Systems and Paper-and-Pencil Techniques To Support the Teaching of Mathematics.

ERIC Educational Resources Information Center

van Herwaarden, Onno A.; Gielen, Joseph L. W.

2002-01-01

Focuses on students showing a lack of conceptual insight while using computer algebra systems (CAS) in the setting of an elementary calculus and linear algebra course for first year university students in social sciences. The use of a computer algebra environment has been incorporated into a more traditional course but with special attention on…

The ACLS Survey of Scholars: Views on Publications, Computers, Libraries.

ERIC Educational Resources Information Center

Morton, Herbert C.; Price, Anne Jamieson

1986-01-01

Reviews results of a survey by the American Council of Learned Societies (ACLS) of 3,835 scholars in the humanities and social sciences who are working both in colleges and universities and outside the academic community. Areas highlighted include professional reading, authorship patterns, computer use, and library use. (LRW)

Comparative Analysis of Palm and Wearable Computers for Participatory Simulations

ERIC Educational Resources Information Center

Klopfer, Eric; Yoon, Susan; Rivas, Luz

2004-01-01

Recent educational computer-based technologies have offered promising lines of research that promote social constructivist learning goals, develop skills required to operate in a knowledge-based economy (Roschelle et al. 2000), and enable more authentic science-like problem-solving. In our research programme, we have been interested in combining…

Development of EarthCube Governance: An Agile Approach

NASA Astrophysics Data System (ADS)

Pearthree, G.; Allison, M. L.; Patten, K.

2013-12-01

Governance of geosciences cyberinfrastructure is a complex and essential undertaking, critical in enabling distributed knowledge communities to collaborate and communicate across disciplines, distances, and cultures. Advancing science with respect to 'grand challenges," such as global climate change, weather prediction, and core fundamental science, depends not just on technical cyber systems, but also on social systems for strategic planning, decision-making, project management, learning, teaching, and building a community of practice. Simply put, a robust, agile technical system depends on an equally robust and agile social system. Cyberinfrastructure development is wrapped in social, organizational and governance challenges, which may significantly impede progress. An agile development process is underway for governance of transformative investments in geosciences cyberinfrastructure through the NSF EarthCube initiative. Agile development is iterative and incremental, and promotes adaptive planning and rapid and flexible response. Such iterative deployment across a variety of EarthCube stakeholders encourages transparency, consensus, accountability, and inclusiveness. A project Secretariat acts as the coordinating body, carrying out duties for planning, organizing, communicating, and reporting. A broad coalition of stakeholder groups comprises an Assembly (Mainstream Scientists, Cyberinfrastructure Institutions, Information Technology/Computer Sciences, NSF EarthCube Investigators, Science Communities, EarthCube End-User Workshop Organizers, Professional Societies) to serve as a preliminary venue for identifying, evaluating, and testing potential governance models. To offer opportunity for broader end-user input, a crowd-source approach will engage stakeholders not involved otherwise. An Advisory Committee from the Earth, ocean, atmosphere, social, computer and library sciences is guiding the process from a high-level policy point of view. Developmental evaluators from the social sciences embedded in the project provide real-time review and adjustments. While a large number of agencies and organizations have agreed to participate, in order to ensure an open and inclusive process, community selected leaders yet to be identified will play key roles through an Assembly Advisory Council. Once consensus is reached on a governing framework, a community-selected demonstration governance pilot will help facilitate community convergence on system design.

Citizen social science: a methodology to facilitate and evaluate workplace learning in continuing interprofessional education.

PubMed

Dadich, Ann

2014-05-01

Workplace learning in continuing interprofessional education (CIPE) can be difficult to facilitate and evaluate, which can create a number of challenges for this type of learning. This article presents an innovative method to foster and investigate workplace learning in CIPE - citizen social science. Citizen social science involves clinicians as co-researchers in the systematic examination of social phenomena. When facilitated by an open-source online social networking platform, clinicians can participate via computer, smartphone, or tablet in ways that suit their needs and preferences. Furthermore, as co-researchers they can help to reveal the dynamic interplay that facilitates workplace learning in CIPE. Although yet to be tested, citizen social science offers four potential benefits: it recognises and accommodates the complexity of workplace learning in CIPE; it has the capacity to both foster and evaluate the phenomena; it can be used in situ, capturing and having direct relevance to the complexity of the workplace; and by advancing both theoretical and methodological debates on CIPE, it may reveal opportunities to improve and sustain workplace learning. By describing an example situated in the youth health sector, this article demonstrates how these benefits might be realised.

The value and use of social media as communication tool in the plant sciences.

PubMed

Osterrieder, Anne

2013-07-11

Social media now complements many parts of our lives. Facebook, Twitter, YouTube and many other social networking sites allow users to share and interact with online content and to connect with like-minded people. Its strengths - rapid dissemination and amplification of content and the ability to lead informal conversations - make it a powerful tool to use in a professional context. This commentary explains the overall concept of social media and offers suggestions on usage and possible types of scientific content. It advises researchers on the potential benefits and how to take a strategic approach towards building a social media presence. It also presents examples of effective social media use within the plant science community. Common reasons for scientists to not engage with social media include the fear of appearing unprofessional, posting something wrong or being misunderstood, or a lack of confidence in their computer skills. With the rapid changes in academic publishing, dissemination and science communication, as well as the rise of 'altmetrics' to track online engagement with scientific content, digital literacy will become an essential skill in a scientist's tool kit.

Teachers' Organization of Participation Structures for Teaching Science with Computer Technology

NASA Astrophysics Data System (ADS)

Subramaniam, Karthigeyan

2016-08-01

This paper describes a qualitative study that investigated the nature of the participation structures and how the participation structures were organized by four science teachers when they constructed and communicated science content in their classrooms with computer technology. Participation structures focus on the activity structures and processes in social settings like classrooms thereby providing glimpses into the complex dynamics of teacher-students interactions, configurations, and conventions during collective meaning making and knowledge creation. Data included observations, interviews, and focus group interviews. Analysis revealed that the dominant participation structure evident within participants' instruction with computer technology was ( Teacher) initiation-( Student and Teacher) response sequences-( Teacher) evaluate participation structure. Three key events characterized the how participants organized this participation structure in their classrooms: setting the stage for interactive instruction, the joint activity, and maintaining accountability. Implications include the following: (1) teacher educators need to tap into the knowledge base that underscores science teachers' learning to teach philosophies when computer technology is used in instruction. (2) Teacher educators need to emphasize the essential idea that learning and cognition is not situated within the computer technology but within the pedagogical practices, specifically the participation structures. (3) The pedagogical practices developed with the integration or with the use of computer technology underscored by the teachers' own knowledge of classroom contexts and curriculum needs to be the focus for how students learn science content with computer technology instead of just focusing on how computer technology solely supports students learning of science content.

Toward using games to teach fundamental computer science concepts

NASA Astrophysics Data System (ADS)

Edgington, Jeffrey Michael

Video and computer games have become an important area of study in the field of education. Games have been designed to teach mathematics, physics, raise social awareness, teach history and geography, and train soldiers in the military. Recent work has created computer games for teaching computer programming and understanding basic algorithms. We present an investigation where computer games are used to teach two fundamental computer science concepts: boolean expressions and recursion. The games are intended to teach the concepts and not how to implement them in a programming language. For this investigation, two computer games were created. One is designed to teach basic boolean expressions and operators and the other to teach fundamental concepts of recursion. We describe the design and implementation of both games. We evaluate the effectiveness of these games using before and after surveys. The surveys were designed to ascertain basic understanding, attitudes and beliefs regarding the concepts. The boolean game was evaluated with local high school students and students in a college level introductory computer science course. The recursion game was evaluated with students in a college level introductory computer science course. We present the analysis of the collected survey information for both games. This analysis shows a significant positive change in student attitude towards recursion and modest gains in student learning outcomes for both topics.

Computational communities: African-American cultural capital in computer science education

NASA Astrophysics Data System (ADS)

Lachney, Michael

2017-10-01

Enrolling the cultural capital of underrepresented communities in PK-12 technology and curriculum design has been a primary strategy for broadening the participation of students of color in U.S. computer science (CS) fields. This article examines two ways that African-American cultural capital and computing can be bridged in CS education. The first is community representation, using cultural capital to highlight students' social identities and networks through computational thinking. The second, computational integration, locates computation in cultural capital itself. I survey two risks - the appearance of shallow computing and the reproduction of assimilationist logics - that may arise when constructing one bridge without the other. To avoid these risks, I introduce the concept of computational communities by exploring areas in CS education that employ both strategies. This concept is then grounded in qualitative data from an after school program that connected CS to African-American cosmetology.

The Intellectual Structure of Metacognitive Scaffolding in Science Education: A Co-Citation Network Analysis

ERIC Educational Resources Information Center

Tang, Kai-Yu; Wang, Chia-Yu; Chang, Hsin-Yi; Chen, Sufen; Lo, Hao-Chang; Tsai, Chin-Chung

2016-01-01

The issues of metacognitive scaffolding in science education (MSiSE) have become increasingly popular and important. Differing from previous content reviews, this study proposes a series of quantitative computer-based analyses by integrating document co-citation analysis, social network analysis, and exploratory factor analysis to explore the…

Biological mechanisms beyond network analysis via mathematical modeling. Comment on "Network science of biological systems at different scales: A review" by Marko Gosak et al.

NASA Astrophysics Data System (ADS)

Pedersen, Morten Gram

2018-03-01

Methods from network theory are increasingly used in research spanning from engineering and computer science to psychology and the social sciences. In this issue, Gosak et al. [1] provide a thorough review of network science applications to biological systems ranging from the subcellular world via neuroscience to ecosystems, with special attention to the insulin-secreting beta-cells in pancreatic islets.

Design and Evaluation of a Virtual Environment Infrastructure to Support Experiments in Social Behavior

ERIC Educational Resources Information Center

Hmeljak, Dimitrij

2010-01-01

Virtual worlds provide useful platforms for social behavioral research, but impose stringent limitations on the rules of engagement, responsiveness, and data collection, along with other resource restrictions. The major challenge from a computer science standpoint in developing group behavior applications for such environments is accommodating the…

Building Real World Domain-Specific Social Network Websites as a Capstone Project

ERIC Educational Resources Information Center

Yue, Kwok-Bun; De Silva, Dilhar; Kim, Dan; Aktepe, Mirac; Nagle, Stewart; Boerger, Chris; Jain, Anubha; Verma, Sunny

2009-01-01

This paper describes our experience of using Content Management Software (CMS), specifically Joomla, to build a real world domain-specific social network site (SNS) as a capstone project for graduate information systems and computer science students. As Web 2.0 technologies become increasingly important in driving business application development,…

Group Emotions: The Social and Cognitive Functions of Emotions in Argumentation

ERIC Educational Resources Information Center

Polo, Claire; Lund, Kristine; Plantin, Christian; Niccolai, Gerald P.

2016-01-01

The learning sciences of today recognize the tri-dimensional nature of learning as involving cognitive, social and emotional phenomena. However, many computer-supported argumentation systems still fail in addressing the socio-emotional aspects of group reasoning, perhaps due to a lack of an integrated theoretical vision of how these three…

Socially Shared Metacognitive Regulation in Asynchronous CSCL in Science: Functions, Evolution and Participation

ERIC Educational Resources Information Center

Iiskala, Tuike; Volet, Simone; Lehtinen, Erno; Vauras, Marja

2015-01-01

The significance of socially shared metacognitive regulation (SSMR) in collaborative learning is gaining momentum. To date, however, there is still a paucity of research of how SSMR is manifested in asynchronous computer-supported collaborative learning (CSCL), and hardly any systematic investigation of SSMR's functions and evolution across…

Internet Addiction Risk in the Academic Environment

ERIC Educational Resources Information Center

Ellis, William F.; McAleer, Brenda; Szakas, Joseph S.

2015-01-01

The Internet's effect on society is growing exponentially. One only has to look at the growth of e-commerce, social media, wireless data access, and mobile devices to see how communication is changing. The need and desire for the Internet, especially in such disciplines as Computer Science or Computer Information Systems, pose a unique risk for…

Opportunities for Research on the Organizational Impact of School Computers. Technical-Report-No. 7.

ERIC Educational Resources Information Center

Newman, Denis

As computers are acquired in greater numbers in schools, their impact on the social organization of instruction increasingly becomes an issue for research. Developments in the cognitive science of instruction, drawing on sociohistorical theory, provide researchers with an appropriate theoretical approach to cultural tools and cognitive change,…

Model Uncertainty and Robustness: A Computational Framework for Multimodel Analysis

ERIC Educational Resources Information Center

Young, Cristobal; Holsteen, Katherine

2017-01-01

Model uncertainty is pervasive in social science. A key question is how robust empirical results are to sensible changes in model specification. We present a new approach and applied statistical software for computational multimodel analysis. Our approach proceeds in two steps: First, we estimate the modeling distribution of estimates across all…

Desktop Social Science: Coming of Age.

ERIC Educational Resources Information Center

Dwyer, David C.; And Others

Beginning in 1985, Apple Computer, Inc. and several school districts began a collaboration to examine the impact of intensive computer use on instruction and learning in K-12 classrooms. This paper follows the development of a Macintosh II-based management and retrieval system for text data undertaken to store and retrieve oral reflections of…

Computers in Bilingual Education: Project CIBE. Evaluation Section Report. OREA Reports.

ERIC Educational Resources Information Center

Berney, Tomi D.; Alvarez, Rosalyn

This project provided 360 students at South Bronx High School (New York) with instruction in English as a Second Language (ESL); Native Language Arts (NLA); the bilingual content area subjects of mathematics, science, and social studies; and computer literacy. The goal of the project was to provide instructional and support services to…

Where Computer Science and Cultural Studies Collide

ERIC Educational Resources Information Center

Kirschenbaum, Matthew

2009-01-01

Most users have no more knowledge of what their computer or code is actually doing than most automobile owners have of their carburetor or catalytic converter. Nor is any such knowledge necessarily needed. But for academics, driven by an increasing emphasis on the materiality of new media--that is, the social, cultural, and economic factors…

Bimodal Reading: Benefits of a Talking Computer for Average and Less Skilled Readers.

ERIC Educational Resources Information Center

Montali, Julie; Lewandowski, Lawrence

1996-01-01

Eighteen average readers and 18 less-skilled readers (grades 8 and 9) were presented with social studies and science passages via a computer either visually (on screen), auditorily (read by digitized voice), or bimodally (on screen, highlighted while being voiced). Less-skilled readers demonstrated comprehension in the bimodal condition equivalent…

Case Study on the Use of Microcomputers in Primary Schools in Bar-le-Duc (France).

ERIC Educational Resources Information Center

Dieschbourg, Robert

1988-01-01

Examines a project which involves the introduction of computer science into elementary schools to create an awareness of data processing as an intellectual, technological, and socio-cultural phenomenon. Concludes that the early computer experience and group work involved in the project enhances student social and psychological development. (GEA)

Application of Psychological Theories in Agent-Based Modeling: The Case of the Theory of Planned Behavior.

PubMed

Scalco, Andrea; Ceschi, Andrea; Sartori, Riccardo

2018-01-01

It is likely that computer simulations will assume a greater role in the next future to investigate and understand reality (Rand & Rust, 2011). Particularly, agent-based models (ABMs) represent a method of investigation of social phenomena that blend the knowledge of social sciences with the advantages of virtual simulations. Within this context, the development of algorithms able to recreate the reasoning engine of autonomous virtual agents represents one of the most fragile aspects and it is indeed crucial to establish such models on well-supported psychological theoretical frameworks. For this reason, the present work discusses the application case of the theory of planned behavior (TPB; Ajzen, 1991) in the context of agent-based modeling: It is argued that this framework might be helpful more than others to develop a valid representation of human behavior in computer simulations. Accordingly, the current contribution considers issues related with the application of the model proposed by the TPB inside computer simulations and suggests potential solutions with the hope to contribute to shorten the distance between the fields of psychology and computer science.

Social Significance of Fundamental Science Common to all Mankind

NASA Astrophysics Data System (ADS)

Zel'Dovich, Ya. B.

It is a challenge of science to play a great role in solution of the problem of meeting material and spiritual human demands. The argument is known that science has become a productive force. When characterizing economy of one or another country or region, it is a practice to speak about science-intensive works, i.e., those where production and competitiveness are directly related to a science level. The science-intensive works include, for example, production of microelectronic circuits and their application in computer and information science or production of pharmaceutical preparations using gene engineering. This list could be continued indefinitely…

Connections Matter: Social Networks and Lifespan Health in Primate Translational Models

PubMed Central

McCowan, Brenda; Beisner, Brianne; Bliss-Moreau, Eliza; Vandeleest, Jessica; Jin, Jian; Hannibal, Darcy; Hsieh, Fushing

2016-01-01

Humans live in societies full of rich and complex relationships that influence health. The ability to improve human health requires a detailed understanding of the complex interplay of biological systems that contribute to disease processes, including the mechanisms underlying the influence of social contexts on these biological systems. A longitudinal computational systems science approach provides methods uniquely suited to elucidate the mechanisms by which social systems influence health and well-being by investigating how they modulate the interplay among biological systems across the lifespan. In the present report, we argue that nonhuman primate social systems are sufficiently complex to serve as model systems allowing for the development and refinement of both analytical and theoretical frameworks linking social life to health. Ultimately, developing systems science frameworks in nonhuman primate models will speed discovery of the mechanisms that subserve the relationship between social life and human health. PMID:27148103

Colloquium on Selected Topics in Behavioral Science Basic Research. (Alexandria, Virginia, April 23-25, 1980).

ERIC Educational Resources Information Center

Nogami, Glenda Y., Ed.; And Others

The 21 summaries of research programs, funded by the United States Army Research Institute (ARI) for the Behavioral and Social Sciences which are presented are grouped in five broad topic areas: computer-based systems; information processing; learning, memory and transfer; human relations; and related issues and trends. Papers presented include:…

A Living Library: New Model for Global Electronic Interactivity and Networking in the Garden.

ERIC Educational Resources Information Center

Sherk, Bonnie

1995-01-01

Describes the Living Library, an idea to create a network of international cultural parks in different cities of the world using new communications technologies on-line in a garden setting, bringing the humanities, sciences, and social sciences to life through plants, visual and performed artworks, lectures, and computer and on-line satellite…

Aeronautical engineering: A continuing bibliography with indexes (supplement 280)

NASA Technical Reports Server (NTRS)

1992-01-01

This bibliography lists 647 reports, articles, and other documents introduced into the NASA scientific and technical information system in June, 1991. Subject coverage includes: aerodynamics, air transportation safety, aircraft communication and navigation, aircraft design and performance, aircraft instrumentation, aircraft propulsion, aircraft stability and control, research facilities, astronautics, chemistry and materials, engineering, geosciences, computer sciences, physics, and social sciences.

Teaching an Interdisciplinary Graduate-Level Methods Course in an Openly-Networked Connected Learning Environment: A Glass Half-Full

ERIC Educational Resources Information Center

Secret, Mary; Bryant, Nita L.; Cummings, Cory R.

2017-01-01

Our paper describes the design and delivery of an online interdisciplinary social science research methods course (ISRM) for graduate students in sociology, education, social work, and public administration. Collaborative activities and learning took place in two types of computer-mediated learning environments: a closed Blackboard course…

On agent-based modeling and computational social science.

PubMed

Conte, Rosaria; Paolucci, Mario

2014-01-01

In the first part of the paper, the field of agent-based modeling (ABM) is discussed focusing on the role of generative theories, aiming at explaining phenomena by growing them. After a brief analysis of the major strengths of the field some crucial weaknesses are analyzed. In particular, the generative power of ABM is found to have been underexploited, as the pressure for simple recipes has prevailed and shadowed the application of rich cognitive models. In the second part of the paper, the renewal of interest for Computational Social Science (CSS) is focused upon, and several of its variants, such as deductive, generative, and complex CSS, are identified and described. In the concluding remarks, an interdisciplinary variant, which takes after ABM, reconciling it with the quantitative one, is proposed as a fundamental requirement for a new program of the CSS.

On agent-based modeling and computational social science

PubMed Central

Conte, Rosaria; Paolucci, Mario

2014-01-01

In the first part of the paper, the field of agent-based modeling (ABM) is discussed focusing on the role of generative theories, aiming at explaining phenomena by growing them. After a brief analysis of the major strengths of the field some crucial weaknesses are analyzed. In particular, the generative power of ABM is found to have been underexploited, as the pressure for simple recipes has prevailed and shadowed the application of rich cognitive models. In the second part of the paper, the renewal of interest for Computational Social Science (CSS) is focused upon, and several of its variants, such as deductive, generative, and complex CSS, are identified and described. In the concluding remarks, an interdisciplinary variant, which takes after ABM, reconciling it with the quantitative one, is proposed as a fundamental requirement for a new program of the CSS. PMID:25071642

CSBB: synthetic biology research at Newcastle University.

PubMed

Goñi-Moreno, Angel; Wipat, Anil; Krasnogor, Natalio

2017-06-15

The Centre for Synthetic Biology and the Bioeconomy (CSBB) brings together a far-reaching multidisciplinary community across all Newcastle University's faculties - Medical Sciences, Science, Agriculture and Engineering, and Humanities, Arts and Social Sciences. The CSBB focuses on many different areas of Synthetic Biology, including bioprocessing, computational design and in vivo computation, as well as improving understanding of basic molecular machinery. Such breadth is supported by major national and international research funding, a range of industrial partners in the North East of England and beyond, as well as a large number of doctoral and post-doctoral researchers. The CSBB trains the next generation of scientists through a 1-year MSc in Synthetic Biology. © 2017 The Author(s).

Vygotsky and the Socialization of Literacy.

ERIC Educational Resources Information Center

Doolittle, Peter E.

An activity has been used successfully for several years in a middle-school computer class to integrate writing instruction with computer science. Taking approximately five class periods, the activity consists of three phases: (1) the 6th-grade students use paper and pencil to write a story in any literary format; (2) 11th- and 12th-grade…

Models of Individual Trajectories in Computer-Assisted Instruction for Deaf Students. Technical Report No. 214.

ERIC Educational Resources Information Center

Suppes, P.; And Others

From some simple and schematic assumptions about information processing, a stochastic differential equation is derived for the motion of a student through a computer-assisted elementary mathematics curriculum. The mathematics strands curriculum of the Institute for Mathematical Studies in the Social Sciences is used to test: (1) the theory and (2)…

Towards International and Interdisciplinary Research Collaboration for the Measurements of Quality of Life

ERIC Educational Resources Information Center

Mizohata, Sachie; Jadoul, Raynald

2013-01-01

This paper focuses on three main subjects: (1) monitoring quality of life (QoL) in old age; (2) international and interdisciplinary collaboration for QoL research; and (3) computer-based technology and infrastructure assisting (1) and (2). This type of computer-supported cooperative work in the social sciences has been termed eHumanities or…

Culture and the Contagion of Conflict: Social Science and Computational Approaches

DTIC Science & Technology

2015-08-05

research , special, group study, etc. 3. DATES COVERED. Indicate the time during which the work was performed and the report was written, e.g., Jun 1997...to the Journal of Experimental Social Psychology for review. Our other research (Shytenberg et al., under revision, European Journal of Social... experimental trios that comprise various combinations of group membership. For example, for some trios, Persons B and C were friends who came to the

Cultural stereotypes as gatekeepers: increasing girls' interest in computer science and engineering by diversifying stereotypes.

PubMed

Cheryan, Sapna; Master, Allison; Meltzoff, Andrew N

2015-01-01

Despite having made significant inroads into many traditionally male-dominated fields (e.g., biology, chemistry), women continue to be underrepresented in computer science and engineering. We propose that students' stereotypes about the culture of these fields-including the kind of people, the work involved, and the values of the field-steer girls away from choosing to enter them. Computer science and engineering are stereotyped in modern American culture as male-oriented fields that involve social isolation, an intense focus on machinery, and inborn brilliance. These stereotypes are compatible with qualities that are typically more valued in men than women in American culture. As a result, when computer science and engineering stereotypes are salient, girls report less interest in these fields than their male peers. However, altering these stereotypes-by broadening the representation of the people who do this work, the work itself, and the environments in which it occurs-significantly increases girls' sense of belonging and interest in the field. Academic stereotypes thus serve as gatekeepers, driving girls away from certain fields and constraining their learning opportunities and career aspirations.

Cultural stereotypes as gatekeepers: increasing girls’ interest in computer science and engineering by diversifying stereotypes

PubMed Central

Cheryan, Sapna; Master, Allison; Meltzoff, Andrew N.

2015-01-01

Despite having made significant inroads into many traditionally male-dominated fields (e.g., biology, chemistry), women continue to be underrepresented in computer science and engineering. We propose that students’ stereotypes about the culture of these fields—including the kind of people, the work involved, and the values of the field—steer girls away from choosing to enter them. Computer science and engineering are stereotyped in modern American culture as male-oriented fields that involve social isolation, an intense focus on machinery, and inborn brilliance. These stereotypes are compatible with qualities that are typically more valued in men than women in American culture. As a result, when computer science and engineering stereotypes are salient, girls report less interest in these fields than their male peers. However, altering these stereotypes—by broadening the representation of the people who do this work, the work itself, and the environments in which it occurs—significantly increases girls’ sense of belonging and interest in the field. Academic stereotypes thus serve as gatekeepers, driving girls away from certain fields and constraining their learning opportunities and career aspirations. PMID:25717308

African-American males in computer science---Examining the pipeline for clogs

NASA Astrophysics Data System (ADS)

Stone, Daryl Bryant

The literature on African-American males (AAM) begins with a statement to the effect that "Today young Black men are more likely to be killed or sent to prison than to graduate from college." Why are the numbers of African-American male college graduates decreasing? Why are those enrolled in college not majoring in the science, technology, engineering, and mathematics (STEM) disciplines? This research explored why African-American males are not filling the well-recognized industry need for Computer Scientist/Technologists by choosing college tracks to these careers. The literature on STEM disciplines focuses largely on women in STEM, as opposed to minorities, and within minorities, there is a noticeable research gap in addressing the needs and opportunities available to African-American males. The primary goal of this study was therefore to examine the computer science "pipeline" from the African-American male perspective. The method included a "Computer Science Degree Self-Efficacy Scale" be distributed to five groups of African-American male students, to include: (1) fourth graders, (2) eighth graders, (3) eleventh graders, (4) underclass undergraduate computer science majors, and (5) upperclass undergraduate computer science majors. In addition to a 30-question self-efficacy test, subjects from each group were asked to participate in a group discussion about "African-American males in computer science." The audio record of each group meeting provides qualitative data for the study. The hypotheses include the following: (1) There is no significant difference in "Computer Science Degree" self-efficacy between fourth and eighth graders. (2) There is no significant difference in "Computer Science Degree" self-efficacy between eighth and eleventh graders. (3) There is no significant difference in "Computer Science Degree" self-efficacy between eleventh graders and lower-level computer science majors. (4) There is no significant difference in "Computer Science Degree" self-efficacy between lower-level computer science majors and upper-level computer science majors. (5) There is no significant difference in "Computer Science Degree" self-efficacy between each of the five groups of students. Finally, the researcher selected African-American male students attending six primary schools, including the predominately African-American elementary, middle and high school that the researcher attended during his own academic career. Additionally, a racially mixed elementary, middle and high school was selected from the same county in Maryland. Bowie State University provided both the underclass and upperclass computer science majors surveyed in this study. Of the five hypotheses, the sample provided enough evidence to support the claim that there are significant differences in the "Computer Science Degree" self-efficacy between each of the five groups of students. ANOVA analysis by question and total self-efficacy scores provided more results of statistical significance. Additionally, factor analysis and review of the qualitative data provide more insightful results. Overall, the data suggest 'a clog' may exist in the middle school level and students attending racially mixed schools were more confident in their computer, math and science skills. African-American males admit to spending lots of time on social networking websites and emailing, but are 'dis-aware' of the skills and knowledge needed to study in the computing disciplines. The majority of the subjects knew little, if any, AAMs in the 'computing discipline pipeline'. The collegian African-American males, in this study, agree that computer programming is a difficult area and serves as a 'major clog in the pipeline'.

Museum Informatics.

ERIC Educational Resources Information Center

Marty, Paul F.; Rayward, W. Boyd; Twidale, Michael B.

2003-01-01

Discusses museum informatics that studies how information science and technology affect the museum environment. Examines digital technology; information organization and access; digitization, personal computers, and the Internet; data sharing; standards; social impacts of new technologies; collaboration; consortia; multimedia exhibits; virtual…

Final Report of the Computer Assisted Learning Test Project. Report No. 19.

ERIC Educational Resources Information Center

Van der Drift, K. D.; And Others

A pilot project was conducted to gain information to advise the Board of Directors at the University of Leyden as to the feasibility of using a computerized system to aid in instructional programs in the social sciences, law, medicine, arts, mathematics, and natural sciences at a low cost. The pilot project is divided into four parts which are…

Programming the social computer.

PubMed

Robertson, David; Giunchiglia, Fausto

2013-03-28

The aim of 'programming the global computer' was identified by Milner and others as one of the grand challenges of computing research. At the time this phrase was coined, it was natural to assume that this objective might be achieved primarily through extending programming and specification languages. The Internet, however, has brought with it a different style of computation that (although harnessing variants of traditional programming languages) operates in a style different to those with which we are familiar. The 'computer' on which we are running these computations is a social computer in the sense that many of the elementary functions of the computations it runs are performed by humans, and successful execution of a program often depends on properties of the human society over which the program operates. These sorts of programs are not programmed in a traditional way and may have to be understood in a way that is different from the traditional view of programming. This shift in perspective raises new challenges for the science of the Web and for computing in general.

Artificial-life researchers try to create social reality.

PubMed

Flam, F

1994-08-12

Some scientists, among them cosmologist Stephen Hawking, argue that computer viruses are alive. A better case might be made for many of the self-replicating silicon-based creatures featured at the fourth Conference on Artificial Life, held on 5 to 8 July in Boston. Researchers from computer science, biology, and other disciplines presented computer programs that, among other things, evolved cooperative strategies in a selfish world and recreated themselves in ever more complex forms.

Agent 2003 Conference on Challenges in Social Simulation

DOE Office of Scientific and Technical Information (OSTI.GOV)

Margaret Clemmons, ed.

Welcome to the Proceedings of the fourth in a series of agent simulation conferences cosponsored by Argonne National Laboratory and The University of Chicago. Agent 2003 is the second conference in which three Special Interest Groups from the North American Association for Computational Social and Organizational Science (NAACSOS) have been involved in planning the program--Computational Social Theory; Simulation Applications; and Methods, Toolkits and Techniques. The theme of Agent 2003, Challenges in Social Simulation, is especially relevant, as there seems to be no shortage of such challenges. Agent simulation has been applied with increasing frequency to social domains for several decades,more » and its promise is clear and increasingly visible. Like any nascent scientific methodology, however, it faces a number of problems or issues that must be addressed in order to progress. These challenges include: (1) Validating models relative to the social settings they are designed to represent; (2) Developing agents and interactions simple enough to understand but sufficiently complex to do justice to the social processes of interest; (3) Bridging the gap between empirically spare artificial societies and naturally occurring social phenomena; (4) Building multi-level models that span processes across domains; (5) Promoting a dialog among theoretical, qualitative, and empirical social scientists and area experts, on the one hand, and mathematical and computational modelers and engineers, on the other; (6) Using that dialog to facilitate substantive progress in the social sciences; and (7) Fulfilling the aspirations of users in business, government, and other application areas, while recognizing and addressing the preceding challenges. Although this list hardly exhausts the challenges the field faces, it does identify topics addressed throughout the presentations of Agent 2003. Agent 2003 is part of a much larger process in which new methods and techniques are applied to difficult social issues. Among the resources that give us the prospect of success is the innovative and transdisciplinary research community being built. We believe that Agent 2003 contributes to further progress in computational modeling of social processes, and we hope that you find these Proceedings to be stimulating and rewarding. As the horizons of this transdiscipline continue to emerge and converge, we hope to provide similar forums that will promote development of agent simulation modeling in the years to come.« less

Dark Side of Information Systems and Protection of Children Online: Examining Predatory Behavior and Victimization of Children within Social Media

ERIC Educational Resources Information Center

Albert, Connie S.

2014-01-01

Protecting children online from sexual predators has been a focus of research in psychiatry, sociology, computer science, and information systems (IS) for many years. However, the anonymity afforded by social media has made finding a solution to the problem of child protection difficult. Pedophiles manipulate conversation (discourse) with children…

How robotics programs influence young women's career choices : a grounded theory model

NASA Astrophysics Data System (ADS)

Craig, Cecilia Dosh-Bluhm

The fields of engineering, computer science, and physics have a paucity of women despite decades of intervention by universities and organizations. Women's graduation rates in these fields continue to stagnate, posing a critical problem for society. This qualitative grounded theory (GT) study sought to understand how robotics programs influenced young women's career decisions and the program's effect on engineering, physics, and computer science career interests. To test this, a study was mounted to explore how the FIRST (For Inspiration and Recognition of Science and Technology) Robotics Competition (FRC) program influenced young women's college major and career choices. Career theories suggested that experiential programs coupled with supportive relationships strongly influence career decisions, especially for science, technology, engineering, and mathematics careers. The study explored how and when young women made career decisions and how the experiential program and! its mentors and role models influenced career choice. Online focus groups and interviews (online and face-to-face) with 10 female FRC alumnae and GT processes (inductive analysis, open coding, categorizations using mind maps and content clouds) were used to generate a general systems theory style model of the career decision process for these young women. The study identified gender stereotypes and other career obstacles for women. The study's conclusions include recommendations to foster connections to real-world challenges, to develop training programs for mentors, and to nurture social cohesion, a mostly untapped area. Implementing these recommendations could help grow a critical mass of women in engineering, physics, and computer science careers, a social change worth pursuing.

The Application of Computer Technology to the Development of a Native American Planning and Information System.

ERIC Educational Resources Information Center

McKinley, Kenneth H.; Self, Burl E., Jr.

A study was conducted to determine the feasibility of using the computer-based Synagraphic Mapping Program (SYMAP) and the Statistical Package for the Social Sciences (SPSS) in formulating an efficient and accurate information system which Creek Nation tribal staff could implement and use in planning for more effective and precise delivery of…

Using Computer Assisted Instruction to Teach Science Facts to Students with Moderate to Severe Disabilities

ERIC Educational Resources Information Center

Berrong, Amy Ketterer

2011-01-01

Previous research has found the use of computer-assisted instruction (CAI) to be effective in teaching skills to a variety of populations. Students with and without disabilities have been taught a variety of skills including social skills and core academic content using CAI. Students with moderate to severe disabilities (MSD) have been taught a…

Attitudes and Achievement in Introductory Psychological Statistics Classes: Traditional versus Computer-Supported Instruction.

ERIC Educational Resources Information Center

Gratz, Zandra S.; And Others

A study was conducted at a large, state-supported college in the Northeast to establish a mechanism by which a popular software package, Statistical Package for the Social Sciences (SPSS), could be used in psychology program statistics courses in such a way that no prior computer expertise would be needed on the part of the faculty or the…

What's New in Software? Computer Programs for Unobtrusive, Informal Evaluation.

ERIC Educational Resources Information Center

Hedley, Carolyn

1985-01-01

Teachers can use microcomputers in informal assessment of learning disabled students' academic achievement, math and science progress, reading comprehension, cognitive processes, motivation and social interaction. Selected software for unobtrusive, informal assessment is listed. (CL)

Social Cognition Unbound: Insights Into Anthropomorphism and Dehumanization.

PubMed

Waytz, Adam; Epley, Nicholas; Cacioppo, John T

2010-02-01

People conceive of wrathful gods, fickle computers, and selfish genes, attributing human characteristics to a variety of supernatural, technological, and biological agents. This tendency to anthropomorphize nonhuman agents figures prominently in domains ranging from religion to marketing to computer science. Perceiving an agent to be humanlike has important implications for whether the agent is capable of social influence, accountable for its actions, and worthy of moral care and consideration. Three primary factors-elicited agent knowledge, sociality motivation, and effectance motivation-appear to account for a significant amount of variability in anthropomorphism. Identifying these factors that lead people to see nonhuman agents as humanlike also sheds light on the inverse process of dehumanization, whereby people treat human agents as animals or objects. Understanding anthropomorphism can contribute to a more expansive view of social cognition that applies social psychological theory to a wide variety of both human and nonhuman agents.

From biological and social network metaphors to coupled bio-social wireless networks

PubMed Central

Barrett, Christopher L.; Eubank, Stephen; Anil Kumar, V.S.; Marathe, Madhav V.

2010-01-01

Biological and social analogies have been long applied to complex systems. Inspiration has been drawn from biological solutions to solve problems in engineering products and systems, ranging from Velcro to camouflage to robotics to adaptive and learning computing methods. In this paper, we present an overview of recent advances in understanding biological systems as networks and use this understanding to design and analyse wireless communication networks. We expand on two applications, namely cognitive sensing and control and wireless epidemiology. We discuss how our work in these two applications is motivated by biological metaphors. We believe that recent advances in computing and communications coupled with advances in health and social sciences raise the possibility of studying coupled bio-social communication networks. We argue that we can better utilise the advances in our understanding of one class of networks to better our understanding of the other. PMID:21643462

Social Cognition Unbound: Insights Into Anthropomorphism and Dehumanization

PubMed Central

Waytz, Adam; Epley, Nicholas; Cacioppo, John T.

2014-01-01

People conceive of wrathful gods, fickle computers, and selfish genes, attributing human characteristics to a variety of supernatural, technological, and biological agents. This tendency to anthropomorphize nonhuman agents figures prominently in domains ranging from religion to marketing to computer science. Perceiving an agent to be humanlike has important implications for whether the agent is capable of social influence, accountable for its actions, and worthy of moral care and consideration. Three primary factors—elicited agent knowledge, sociality motivation, and effectance motivation—appear to account for a significant amount of variability in anthropomorphism. Identifying these factors that lead people to see nonhuman agents as humanlike also sheds light on the inverse process of dehumanization, whereby people treat human agents as animals or objects. Understanding anthropomorphism can contribute to a more expansive view of social cognition that applies social psychological theory to a wide variety of both human and nonhuman agents. PMID:24839358

Aeronautical engineering: A continuing bibliography with indexes (supplement 267)

NASA Technical Reports Server (NTRS)

1991-01-01

This bibliography lists 661 reports, articles, and other documents introduced into the NASA scientific and technical information system in June, 1991. Subject coverage includes design, construction and testing of aircraft and aircraft engines; aircraft components, equipment and systems; ground support systems; theoretical and applied aspects of aerodynamics and general fluid dynamics; electrical engineering; aircraft control; remote sensing; computer sciences; nuclear physics; and social sciences.

Using a Faculty-in-Residence Model to Enhance Curriculae in Computer Science and Social Work with Writing and Critical Thinking

ERIC Educational Resources Information Center

Sarnoff, Susan; Welch, Lonnie; Gradin, Sherrie; Sandell, Karin

2004-01-01

This paper will discuss the results of a project that enabled three faculty members from disparate disciplines: Social Work, Interpersonal Communication and Software Engineering, to enhance writing and critical thinking in their courses. The paper will address the Faculty-in-Residence project model, the activities taken on as a result of it, the…

A systematic identification and analysis of scientists on Twitter.

PubMed

Ke, Qing; Ahn, Yong-Yeol; Sugimoto, Cassidy R

2017-01-01

Metrics derived from Twitter and other social media-often referred to as altmetrics-are increasingly used to estimate the broader social impacts of scholarship. Such efforts, however, may produce highly misleading results, as the entities that participate in conversations about science on these platforms are largely unknown. For instance, if altmetric activities are generated mainly by scientists, does it really capture broader social impacts of science? Here we present a systematic approach to identifying and analyzing scientists on Twitter. Our method can identify scientists across many disciplines, without relying on external bibliographic data, and be easily adapted to identify other stakeholder groups in science. We investigate the demographics, sharing behaviors, and interconnectivity of the identified scientists. We find that Twitter has been employed by scholars across the disciplinary spectrum, with an over-representation of social and computer and information scientists; under-representation of mathematical, physical, and life scientists; and a better representation of women compared to scholarly publishing. Analysis of the sharing of URLs reveals a distinct imprint of scholarly sites, yet only a small fraction of shared URLs are science-related. We find an assortative mixing with respect to disciplines in the networks between scientists, suggesting the maintenance of disciplinary walls in social media. Our work contributes to the literature both methodologically and conceptually-we provide new methods for disambiguating and identifying particular actors on social media and describing the behaviors of scientists, thus providing foundational information for the construction and use of indicators on the basis of social media metrics.

A systematic identification and analysis of scientists on Twitter

PubMed Central

Ke, Qing; Ahn, Yong-Yeol; Sugimoto, Cassidy R.

2017-01-01

Metrics derived from Twitter and other social media—often referred to as altmetrics—are increasingly used to estimate the broader social impacts of scholarship. Such efforts, however, may produce highly misleading results, as the entities that participate in conversations about science on these platforms are largely unknown. For instance, if altmetric activities are generated mainly by scientists, does it really capture broader social impacts of science? Here we present a systematic approach to identifying and analyzing scientists on Twitter. Our method can identify scientists across many disciplines, without relying on external bibliographic data, and be easily adapted to identify other stakeholder groups in science. We investigate the demographics, sharing behaviors, and interconnectivity of the identified scientists. We find that Twitter has been employed by scholars across the disciplinary spectrum, with an over-representation of social and computer and information scientists; under-representation of mathematical, physical, and life scientists; and a better representation of women compared to scholarly publishing. Analysis of the sharing of URLs reveals a distinct imprint of scholarly sites, yet only a small fraction of shared URLs are science-related. We find an assortative mixing with respect to disciplines in the networks between scientists, suggesting the maintenance of disciplinary walls in social media. Our work contributes to the literature both methodologically and conceptually—we provide new methods for disambiguating and identifying particular actors on social media and describing the behaviors of scientists, thus providing foundational information for the construction and use of indicators on the basis of social media metrics. PMID:28399145

Sociocultural Influences On Undergraduate Women's Entry into a Computer Science Major

NASA Astrophysics Data System (ADS)

Lyon, Louise Ann

Computer science not only displays the pattern of underrepresentation of many other science, technology, engineering, and math (STEM) fields, but has actually experienced a decline in the number of women choosing the field over the past two decades. Broken out by gender and race, the picture becomes more nuanced, with the ratio of females to males receiving bachelor's degrees in computer science higher for non-White ethnic groups than for Whites. This dissertation explores the experiences of university women differing along the axis of race, class, and culture who are considering majoring in computer science in order to highlight how well-prepared women are persuaded that they belong (or not) in the field and how the confluence of social categories plays out in their decision. This study focuses on a university seminar entitled "Women in Computer Science and Engineering" open to women concurrently enrolled in introductory programming and uses an ethnographic approach including classroom participant observation, interviews with seminar students and instructors, observations of students in other classes, and interviews with parents of students. Three stand-alone but related articles explore various aspects of the experiences of women who participated in the study using Rom Harre's positioning theory as a theoretical framework. The first article uses data from twenty-two interviews to uncover how interactions with others and patterns in society position women in relation to a computer science major, and how these women have arrived at the point of considering the major despite messages that they do not belong. The second article more deeply explores the cases of three women who vary greatly along the axes of race, class, and culture in order to uncover pattern and interaction differences for women based on their ethnic background. The final article focuses on the attitudes and expectations of the mothers of three students of contrasting ethnicities and how reported interactions between mothers and daughters either constrain or afford opportunities for the daughters to choose a computer science major.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Reynolds, William; Weber, Marta S.; Farber, Robert M.

Social Media provide an exciting and novel view into social phenomena. The vast amounts of data that can be gathered from the Internet coupled with massively parallel supercomputers such as the Cray XMT open new vistas for research. Conclusions drawn from such analysis must recognize that social media are distinct from the underlying social reality. Rigorous validation is essential. This paper briefly presents results obtained from computational analysis of social media - utilizing both blog and twitter data. Validation of these results is discussed in the context of a framework of established methodologies from the social sciences. Finally, an outlinemore » for a set of supporting studies is proposed.« less

Network biology: Describing biological systems by complex networks. Comment on "Network science of biological systems at different scales: A review" by M. Gosak et al.

NASA Astrophysics Data System (ADS)

Jalili, Mahdi

2018-03-01

I enjoyed reading Gosak et al. review on analysing biological systems from network science perspective [1]. Network science, first started within Physics community, is now a mature multidisciplinary field of science with many applications ranging from Ecology to biology, medicine, social sciences, engineering and computer science. Gosak et al. discussed how biological systems can be modelled and described by complex network theory which is an important application of network science. Although there has been considerable progress in network biology over the past two decades, this is just the beginning and network science has a great deal to offer to biology and medical sciences.

Research Trends in the Field of E-Learning from 2003 to 2008: A Scientometric and Content Analysis for Selected Journals and Conferences Using Visualization

ERIC Educational Resources Information Center

Maurer, Hermann; Khan, Muhammad Salman

2010-01-01

Purpose: The purpose of this paper is to provide a scientometric and content analysis of the studies in the field of e-learning that were published in five Social Science Citation Index (SSCI) journals ("Journal of Computer Assisted Learning, Computers & Education, British Journal of Educational Technology, Innovations in Education and Teaching…

AGENT-BASED MODELS IN EMPIRICAL SOCIAL RESEARCH*

PubMed Central

Bruch, Elizabeth; Atwell, Jon

2014-01-01

Agent-based modeling has become increasingly popular in recent years, but there is still no codified set of recommendations or practices for how to use these models within a program of empirical research. This article provides ideas and practical guidelines drawn from sociology, biology, computer science, epidemiology, and statistics. We first discuss the motivations for using agent-based models in both basic science and policy-oriented social research. Next, we provide an overview of methods and strategies for incorporating data on behavior and populations into agent-based models, and review techniques for validating and testing the sensitivity of agent-based models. We close with suggested directions for future research. PMID:25983351

A Publications Sampler.

ERIC Educational Resources Information Center

Hess, Sheila

1984-01-01

Lists over 100 association publications on topics of: aeronautics and space, aging, arts and architecture, computers, consumer guides, education, educational directories, government and politics, handicapped, health and medicine, housing and land use, libraries, management, recreation and hobbies, science and technology, social issues. A list of…

78 FR 67103 - Request for Nominations of Members To Serve on the Census Scientific Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2013-11-08

... analysis, survey methodology, geospatial analysis, econometrics, cognitive psychology, and computer science... following disciplines: demography, economics, geography, psychology, statistics, survey methodology, social... expertise in such areas as demography, economics, geography, psychology, statistics, survey methodology...

Abstracts of Research. July 1974-June 1975.

ERIC Educational Resources Information Center

Ohio State Univ., Columbus. Computer and Information Science Research Center.

Abstracts of research papers in computer and information science are given for 68 papers in the areas of information storage and retrieval; human information processing; information analysis; linguistic analysis; artificial intelligence; information processes in physical, biological, and social systems; mathematical techniques; systems…

Assessment of Two Desk-Top Computer Simulations Used to Train Tactical Decision Making (TDM) of Small Unit Infantry Leaders

DTIC Science & Technology

2007-04-01

judgmental self-doubt, depression, and causal uncertainty, tend to take fewer risks, and have lower self-esteem. Results from two studies (Nygren, 2000...U.S. Army Research Institute for the Behavioral and Social Sciences Research Report 1869 Assessment of Two Desk-Top Computer Simulations Used to...SUBTITLE 5a. CONTRACT OR GRANT NUMBER Assessment of Two Desk-Top Computer Simulations Used to Train Tactical Decision Making (TDM) of Small Unit

An Extensible NetLogo Model for Visualizing Message Routing Protocols

DTIC Science & Technology

2017-08-01

the hard sciences to the social sciences to computer-generated art. NetLogo represents the world as a set of...describe the model is shown here; for the supporting methods , refer to the source code. Approved for public release; distribution is unlimited. 4 iv...if ticks - last-inject > time-to-inject [inject] if run# > #runs [stop] end Next, we present some basic statistics collected for the

NASA aerospace database subject scope: An overview

NASA Technical Reports Server (NTRS)

1993-01-01

Outlined here is the subject scope of the NASA Aerospace Database, a publicly available subset of the NASA Scientific and Technical (STI) Database. Topics of interest to NASA are outlined and placed within the framework of the following broad aerospace subject categories: aeronautics, astronautics, chemistry and materials, engineering, geosciences, life sciences, mathematical and computer sciences, physics, social sciences, space sciences, and general. A brief discussion of the subject scope is given for each broad area, followed by a similar explanation of each of the narrower subject fields that follow. The subject category code is listed for each entry.

Recreation.

ERIC Educational Resources Information Center

Online-Offline, 1998

1998-01-01

This theme issue on recreation includes annotated listings of Web sites, CD-ROMs, computer software, videos, books, magazines, and professional resources that deal with recreation for K-8 language arts, art/architecture, music/dance, science, math, social studies, and health/physical education. Sidebars discuss fun and games, recess recreation,…

[Intranarcotic infusion therapy -- a computer interpretation using the program package SPSS (Statistical Package for the Social Sciences)].

PubMed

Link, J; Pachaly, J

1975-08-01

In a retrospective 18-month study the infusion therapy applied in a great anesthesia institute is examined. The data of the course of anesthesia recorded on magnetic tape by routine are analysed for this purpose bya computer with the statistical program SPSS. It could be proved that the behaviour of the several anesthetists is very different. Various correlations are discussed.

A Note on Testing Mediated Effects in Structural Equation Models: Reconciling Past and Current Research on the Performance of the Test of Joint Significance

ERIC Educational Resources Information Center

Valente, Matthew J.; Gonzalez, Oscar; Miocevic, Milica; MacKinnon, David P.

2016-01-01

Methods to assess the significance of mediated effects in education and the social sciences are well studied and fall into two categories: single sample methods and computer-intensive methods. A popular single sample method to detect the significance of the mediated effect is the test of joint significance, and a popular computer-intensive method…

Bringing education to your virtual doorstep

NASA Astrophysics Data System (ADS)

Kaurov, Vitaliy

2013-03-01

We currently witness significant migration of academic resources towards online CMS, social networking, and high-end computerized education. This happens for traditional academic programs as well as for outreach initiatives. The talk will go over a set of innovative integrated technologies, many of which are free. These were developed by Wolfram Research in order to facilitate and enhance the learning process in mathematical and physical sciences. Topics include: cloud computing with Mathematica Online; natural language programming; interactive educational resources and web publishing at the Wolfram Demonstrations Project; the computational knowledge engine Wolfram Alpha; Computable Document Format (CDF) and self-publishing with interactive e-books; course assistant apps for mobile platforms. We will also discuss outreach programs where such technologies are extensively used, such as the Wolfram Science Summer School and the Mathematica Summer Camp.

PREFACE: High Performance Computing Symposium 2011

NASA Astrophysics Data System (ADS)

Talon, Suzanne; Mousseau, Normand; Peslherbe, Gilles; Bertrand, François; Gauthier, Pierre; Kadem, Lyes; Moitessier, Nicolas; Rouleau, Guy; Wittig, Rod

2012-02-01

HPCS (High Performance Computing Symposium) is a multidisciplinary conference that focuses on research involving High Performance Computing and its application. Attended by Canadian and international experts and renowned researchers in the sciences, all areas of engineering, the applied sciences, medicine and life sciences, mathematics, the humanities and social sciences, it is Canada's pre-eminent forum for HPC. The 25th edition was held in Montréal, at the Université du Québec à Montréal, from 15-17 June and focused on HPC in Medical Science. The conference was preceded by tutorials held at Concordia University, where 56 participants learned about HPC best practices, GPU computing, parallel computing, debugging and a number of high-level languages. 274 participants from six countries attended the main conference, which involved 11 invited and 37 contributed oral presentations, 33 posters, and an exhibit hall with 16 booths from our sponsors. The work that follows is a collection of papers presented at the conference covering HPC topics ranging from computer science to bioinformatics. They are divided here into four sections: HPC in Engineering, Physics and Materials Science, HPC in Medical Science, HPC Enabling to Explore our World and New Algorithms for HPC. We would once more like to thank the participants and invited speakers, the members of the Scientific Committee, the referees who spent time reviewing the papers and our invaluable sponsors. To hear the invited talks and learn about 25 years of HPC development in Canada visit the Symposium website: http://2011.hpcs.ca/lang/en/conference/keynote-speakers/ Enjoy the excellent papers that follow, and we look forward to seeing you in Vancouver for HPCS 2012! Gilles Peslherbe Chair of the Scientific Committee Normand Mousseau Co-Chair of HPCS 2011 Suzanne Talon Chair of the Organizing Committee UQAM Sponsors The PDF also contains photographs from the conference banquet.

Computational Environments and Analysis methods available on the NCI High Performance Computing (HPC) and High Performance Data (HPD) Platform

NASA Astrophysics Data System (ADS)

Evans, B. J. K.; Foster, C.; Minchin, S. A.; Pugh, T.; Lewis, A.; Wyborn, L. A.; Evans, B. J.; Uhlherr, A.

2014-12-01

The National Computational Infrastructure (NCI) has established a powerful in-situ computational environment to enable both high performance computing and data-intensive science across a wide spectrum of national environmental data collections - in particular climate, observational data and geoscientific assets. This paper examines 1) the computational environments that supports the modelling and data processing pipelines, 2) the analysis environments and methods to support data analysis, and 3) the progress in addressing harmonisation of the underlying data collections for future transdisciplinary research that enable accurate climate projections. NCI makes available 10+ PB major data collections from both the government and research sectors based on six themes: 1) weather, climate, and earth system science model simulations, 2) marine and earth observations, 3) geosciences, 4) terrestrial ecosystems, 5) water and hydrology, and 6) astronomy, social and biosciences. Collectively they span the lithosphere, crust, biosphere, hydrosphere, troposphere, and stratosphere. The data is largely sourced from NCI's partners (which include the custodians of many of the national scientific records), major research communities, and collaborating overseas organisations. The data is accessible within an integrated HPC-HPD environment - a 1.2 PFlop supercomputer (Raijin), a HPC class 3000 core OpenStack cloud system and several highly connected large scale and high-bandwidth Lustre filesystems. This computational environment supports a catalogue of integrated reusable software and workflows from earth system and ecosystem modelling, weather research, satellite and other observed data processing and analysis. To enable transdisciplinary research on this scale, data needs to be harmonised so that researchers can readily apply techniques and software across the corpus of data available and not be constrained to work within artificial disciplinary boundaries. Future challenges will involve the further integration and analysis of this data across the social sciences to facilitate the impacts across the societal domain, including timely analysis to more accurately predict and forecast future climate and environmental state.

Cloud Pedagogy: Utilizing Web-Based Technologies for the Promotion of Social Constructivist Learning in Science Teacher Preparation Courses

NASA Astrophysics Data System (ADS)

Barak, Miri

2017-10-01

The new guidelines for science education emphasize the need to introduce computers and digital technologies as a means of enabling visualization and data collection and analysis. This requires science teachers to bring advanced technologies into the classroom and use them wisely. Hence, the goal of this study was twofold: to examine the application of web-based technologies in science teacher preparation courses and to examine pre-service teachers' perceptions of "cloud pedagogy"—an instructional framework that applies technologies for the promotion of social constructivist learning. The study included university teachers ( N = 48) and pre-service science teachers ( N = 73). Data were collected from an online survey, written reflections, and interviews. The findings indicated that university teachers use technologies mainly for information management and the distribution of learning materials and less for applying social constructivist pedagogy. University teachers expect their students (i.e., pre-service science teachers) to use digital tools in their future classroom to a greater extent than they themselves do. The findings also indicated that the "cloud pedagogy" was perceived as an appropriate instructional framework for contemporary science education. The application of the cloud pedagogy fosters four attributes: the ability to adapt to frequent changes and uncertain situations, the ability to collaborate and communicate in decentralized environments, the ability to generate data and manage it, and the ability to explore new venous.

Computer ethics education: Impact from societal norms

DOE Office of Scientific and Technical Information (OSTI.GOV)

White, G.B.

1994-12-31

Discussions have occurred on the best way to implement the horizontal and vertical integration of education on the social, ethical and professional issues relating to computer science. These discussions have not only included debates on the subject matter and what manner to approach it (i.e. integrated among all computer science courses taught, as a separate required course, or a combination of both), but have also involved debates over who is best qualified to address the subject. What has seldom been addressed, however, is how societal impressions of what is ethical have impacted both those who develop software and those whomore » use it. In light of the experience of such institutions as the U.S. Air Force Academy which recently instituted a program called the Center for Character Development (due to a perceived erosion of the core values of its recruits), should academia and industry expect more from computer scientists than from the population as a whole? It is the integration of ethics courses in the computer science curriculum in light of a general erosion of ethical values in society as a whole that is addressed in this paper.« less

Changing the face of science: Lessons from the 2017 Science-A-Thon

NASA Astrophysics Data System (ADS)

Barnes, R. T.; Licker, R.; Burt, M. A.; Holloway, T.

2017-12-01

Studies have shown that over two-thirds of Americans cannot name a living scientist. This disconnect is a concern for science and scientists, considering the large role of public funding for science, and the importance of science in many policy issues. As a large-scale public outreach initiative and fundraiser, the Earth Science Women's Network (ESWN) launched "Science-A-Thon" on July 13, 2017. This "day of science" invited participants to share 12 photos over 12 hours of a day, including both personal routines and professional endeavors. Over 200 scientists participated, with the #DayofScience hashtag trending on Twitter for the day. Earth scientists represented the largest portion of participants, but the event engaged cancer biologists, computer scientists, and more, including scientists from more than 10 countries. Science-A-Thon builds on the success and visibility of other social media campaigns, such as #actuallivingscientist and #DresslikeaWoman. Importantly these efforts share a common goal, by providing diverse images of scientists we can shift the public perception of who a scientist is and what science looks like in the real world. This type of public engagement offers a wide range of potential role models for students, and individual stories to increase public engagement with science. Social media campaigns such as this shift the public perception of who scientists are, why they do what they do, and what they do each day. The actions and conversations emerging from Science-A-Thon included scientists talking about (1) their science and motivation, (2) the purpose and need for ESWN, and (3) why they chose to participate in this event increased the reach of a social media campaign and fundraiser.

Science and technology camp for girls. Final report

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1993-12-31

This document reports on the success of Pacific University`s camp held during the summers of 1992 and 1993; ultimate goal of this summer day camp was to increase the number of women in technical and scientific fields. Some experimentation was done with the age groups (7th and 8th grade girls). The curriculum was biology, chemistry, physics, and mathematics/computer science. Laboratory work and field trips were emphasized, along with socialization.

Continual Response Measurement: Design and Validation.

ERIC Educational Resources Information Center

Baggaley, Jon

1987-01-01

Discusses reliability and validity of continual response measurement (CRM), a computer-based measurement technique, and its use in social science research. Highlights include the importance of criterion-referencing the data, guidelines for designing studies using CRM, examples typifying their deductive and inductive functions, and a discussion of…

A Glossary of Research Terms.

ERIC Educational Resources Information Center

Weatherup, Jim, Comp.

This glossary contains brief definitions of more than 550 special or technical terms used in scientific, technical, and social science research. Entries include various kinds of statistical measures, research variables, types of research tests, and research methodologies. Some computer terminology is also included. The glossary includes both…

Using and Evaluating Resampling Simulations in SPSS and Excel.

ERIC Educational Resources Information Center

Smith, Brad

2003-01-01

Describes and evaluates three computer-assisted simulations used with Statistical Package for the Social Sciences (SPSS) and Microsoft Excel. Designed the simulations to reinforce and enhance student understanding of sampling distributions, confidence intervals, and significance tests. Reports evaluations revealed improved student comprehension of…

The Market and Vocational Education.

ERIC Educational Resources Information Center

Peregudov, F. I.

1992-01-01

Examines needed changes in vocational education in former Soviet Union as the nation shifts to a market economy. Suggests that there should be more emphasis on individual student needs. Argues that vocational education must include training in information sciences, computers, foreign languages, social psychology, and urban ecology. Recommends…

Running a Research Marathon

ERIC Educational Resources Information Center

Maaravi, Yossi

2018-01-01

In the current article, I describe a case of experiential learning that can be used to enhance learning, students' research skills and motivation in academic institutions. We used the already existing process of hackathons--intense computer programming events--and conducted a social science research marathon. Fifty-two graduate students…

An Online Algorithm for Maximizing Submodular Functions

DTIC Science & Technology

2007-12-20

dynamics of the social network are known. In theory, our online algorithms could be used to adapt a marketing campaign to unknown or time-varying social...An Online Algorithm for Maximizing Submodular Functions Matthew Streeter Daniel Golovin December 20, 2007 CMU-CS-07-171 School of Computer Science...number. 1. REPORT DATE 20 DEC 2007 2. REPORT TYPE 3. DATES COVERED 00-00-2007 to 00-00-2007 4. TITLE AND SUBTITLE An Online Algorithm for

The international emergency management and engineering conference 1995: Proceedings. Globalization of emergency management and engineering: National and international issues concerning research and applications

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sullivan, J.D.; Wybo, J.L.; Buisson, L.

1995-12-31

This conference was held May 9--12, 1995 in Nice, France. The purpose of this conference was to provide a forum for exchange of state-of-the-art information to cope more effectively with emergencies. Attention is focused on advance technology from both a managerial and a scientific viewpoint. Interests include computers and communication systems as well as the social science and management aspects involved in emergency management and engineering. The major sections are: Management and Social Sciences; Training; Natural Disasters; Nuclear Hazards; Chemical Hazards; Research; and Applications. Individual papers have been processed separately for inclusion in the appropriate data bases.

Sundials in the shade: A study of women's persistence in the first year of a computer science program in a selective university

NASA Astrophysics Data System (ADS)

Powell, Rita Manco

Currently women are underrepresented in departments of computer science, making up approximately 18% of the undergraduate enrollment in selective universities. Most attrition in computer science occurs early in this major, in the freshman and sophomore years, and women drop out in disproportionately greater numbers than their male counterparts. Taking an ethnographic approach to investigating women's experiences and progress in the first year courses in the computer science major at the University of Pennsylvania, this study examined the pre-college influences that led these women to the major and the nature of their experiences in and outside of class with faculty, peers, and academic support services. This study sought an understanding of the challenges these women faced in the first year of the major with the goal of informing institutional practice about how to best support their persistence. The research reviewed for this study included patterns of leaving majors in science, math and engineering (Seymour & Hewitt 1997), the high school preparation needed to pursue math and engineering majors in college (Strenta, Elliott, Adair, Matier, & Scott, 1994), and intervention programs that have positively impacted persistence of women in computer science (Margolis & Fisher, 2002). The research method of this study employed a series of personal interviews over the course of one calendar year with fourteen first year women who had either declared on intended to declare the computer science major in the School of Engineering and Applied Science at the University of Pennsylvania. Other data sources were focus groups and personal interviews with faculty, administrators, admissions and student life professionals, teaching assistants, female graduate students, and male first year students at the University of Pennsylvania. This study found that the women in this study group came to the University of Pennsylvania with a thorough grounding in mathematics, but many either had an inadequate background in computer science, or at least perceived inadequacies in their background, which prevented them from beginning the major on an equal footing with their mostly male peers and caused some to lose confidence and consequently interest in the major. Issues also emanated from their gender-minority status in the Computer and Information Science Department, causing them to be socially isolated from their peers and further weakening their resolve to persist. These findings suggest that female first year students could benefit from multiple pathways into the major designed for students with varying degrees of prior experience with computer science. In addition, a computer science community within the department characterized by more frequent interaction and collaboration with faculty and peers could positively impact women's persistence in the major.

Model reduction for agent-based social simulation: coarse-graining a civil violence model.

PubMed

Zou, Yu; Fonoberov, Vladimir A; Fonoberova, Maria; Mezic, Igor; Kevrekidis, Ioannis G

2012-06-01

Agent-based modeling (ABM) constitutes a powerful computational tool for the exploration of phenomena involving emergent dynamic behavior in the social sciences. This paper demonstrates a computer-assisted approach that bridges the significant gap between the single-agent microscopic level and the macroscopic (coarse-grained population) level, where fundamental questions must be rationally answered and policies guiding the emergent dynamics devised. Our approach will be illustrated through an agent-based model of civil violence. This spatiotemporally varying ABM incorporates interactions between a heterogeneous population of citizens [active (insurgent), inactive, or jailed] and a population of police officers. Detailed simulations exhibit an equilibrium punctuated by periods of social upheavals. We show how to effectively reduce the agent-based dynamics to a stochastic model with only two coarse-grained degrees of freedom: the number of jailed citizens and the number of active ones. The coarse-grained model captures the ABM dynamics while drastically reducing the computation time (by a factor of approximately 20).

Model reduction for agent-based social simulation: Coarse-graining a civil violence model

NASA Astrophysics Data System (ADS)

Zou, Yu; Fonoberov, Vladimir A.; Fonoberova, Maria; Mezic, Igor; Kevrekidis, Ioannis G.

2012-06-01

Agent-based modeling (ABM) constitutes a powerful computational tool for the exploration of phenomena involving emergent dynamic behavior in the social sciences. This paper demonstrates a computer-assisted approach that bridges the significant gap between the single-agent microscopic level and the macroscopic (coarse-grained population) level, where fundamental questions must be rationally answered and policies guiding the emergent dynamics devised. Our approach will be illustrated through an agent-based model of civil violence. This spatiotemporally varying ABM incorporates interactions between a heterogeneous population of citizens [active (insurgent), inactive, or jailed] and a population of police officers. Detailed simulations exhibit an equilibrium punctuated by periods of social upheavals. We show how to effectively reduce the agent-based dynamics to a stochastic model with only two coarse-grained degrees of freedom: the number of jailed citizens and the number of active ones. The coarse-grained model captures the ABM dynamics while drastically reducing the computation time (by a factor of approximately 20).

Analysis of reference transactions using packaged computer programs.

PubMed

Calabretta, N; Ross, R

1984-01-01

Motivated by a continuing education class attended by the authors on the measurement of reference desk activities, the reference department at Scott Memorial Library initiated a project to gather data on reference desk transactions and to analyze the data by using packaged computer programs. The programs utilized for the project were SPSS (Statistical Package for the Social Sciences) and SAS (Statistical Analysis System). The planning, implementation and development of the project are described.

Remote sensing/global change. A special bibliography

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1994-11-01

The first portion of this bibliography contains citations (with abstracts, when available) to unclassified literature contained in the NASA STI Database. These citations also appeared in issues of the abstract journal 'Scientific and Technical Aerospace Reports (STAR)', or in other announcement products offered by the NASA STI Program. The citations appear in ascending accession number order. A second section provides several indexes to the citations. They are subject term, personal author, report number, and accession number. The citations are included for the following disciplines as they relate to remote sensing and global change: astronautics, engineering, geosciences, life sciences, mathematical andmore » computer sciences, social sciences, and space sciences.« less

Remote sensing/global change. A special bibliography

NASA Technical Reports Server (NTRS)

1994-01-01

The first portion of this bibliography contains citations (with abstracts, when available) to unclassified literature contained in the NASA STI Database. These citations also appeared in issues of the abstract journal 'Scientific and Technical Aerospace Reports (STAR)', or in other announcement products offered by the NASA STI Program. The citations appear in ascending accession number order. A second section provides several indexes to the citations. They are subject term, personal author, report number, and accession number. The citations are included for the following disciplines as they relate to remote sensing and global change: astronautics, engineering, geosciences, life sciences, mathematical and computer sciences, social sciences, and space sciences.

Language Networks as Complex Systems

ERIC Educational Resources Information Center

Lee, Max Kueiming; Ou, Sheue-Jen

2008-01-01

Starting in the late eighties, with a growing discontent with analytical methods in science and the growing power of computers, researchers began to study complex systems such as living organisms, evolution of genes, biological systems, brain neural networks, epidemics, ecology, economy, social networks, etc. In the early nineties, the research…

Linguistic Extensions of Topic Models

ERIC Educational Resources Information Center

Boyd-Graber, Jordan

2010-01-01

Topic models like latent Dirichlet allocation (LDA) provide a framework for analyzing large datasets where observations are collected into groups. Although topic modeling has been fruitfully applied to problems social science, biology, and computer vision, it has been most widely used to model datasets where documents are modeled as exchangeable…

Test and Evaluation of Architecture-Aware Compiler Environment

DTIC Science & Technology

2011-11-01

biology, medicine, social sciences , and security applications. Challenges include extremely large graphs (the Facebook friend network has over...Operations with Temporal Binning ....................................................................... 32 4.12 Memory behavior and Energy per...five challenge problems empirically, exploring their scaling properties, computation and datatype needs, memory behavior , and temporal behavior

Graded SPSS Exercises.

ERIC Educational Resources Information Center

Allen, Mary J.

The attached materials have been developed for use on the CSU CYBER Computer's Statistical Package for the Social Sciences (SPSSONL). The assignments are graded in difficulty and gradually introduce new commands and require the practice of previously learned commands. The handouts begin with basic instructions for logging on; then XEDIT is taught…

Square pegs in round holes: information systems, hospitals and the significance of contextual awareness.

PubMed

Tjora, Aksel Hagen; Scambler, Graham

2009-02-01

The considerable emphasis in the development and implementation of clinical information systems in hospitals internationally seems to have had a limited effect. In particular, the implementation of electronic patient record (EPR) systems has been slower and more difficult than anticipated and with little change in efficiency and security. This paper suggests why this might be the case. Well established research findings within the field of computer supported cooperative work (CSCW--an interdisciplinary research field between informatics and the social sciences) are cited to construct a case for greater awareness of (1) inter- and intra-professional interests, and (2) broader social and health policy contexts. We draw on Gouldner's work [(1957). Cosmopolitans and locals: toward an analysis of latent social roles--I. Administrative Science Quarterly, 2(3), 281-306; (1958). Cosmopolitans and locals: toward an analysis of latent social roles--II. Administrative Science Quarterly, 2 (4), 444-480] on organisational roles to develop a discussion of professional awareness; a pivotal notion is also the interactionist one of the hospital as a 'negotiated order'. Drawing for illustrative purposes on the Norwegian experience (that is, reviewing research on hospital information systems in Norway), we contend that enhanced awareness of the hospital itself as a social system may be a precondition of cost-effective hospital information and communication technologies.

Modelling the spread of innovation in wild birds.

PubMed

Shultz, Thomas R; Montrey, Marcel; Aplin, Lucy M

2017-06-01

We apply three plausible algorithms in agent-based computer simulations to recent experiments on social learning in wild birds. Although some of the phenomena are simulated by all three learning algorithms, several manifestations of social conformity bias are simulated by only the approximate majority (AM) algorithm, which has roots in chemistry, molecular biology and theoretical computer science. The simulations generate testable predictions and provide several explanatory insights into the diffusion of innovation through a population. The AM algorithm's success raises the possibility of its usefulness in studying group dynamics more generally, in several different scientific domains. Our differential-equation model matches simulation results and provides mathematical insights into the dynamics of these algorithms. © 2017 The Author(s).

Science, Society, and Social Networking

NASA Astrophysics Data System (ADS)

White, K. S.; Lohwater, T.

2009-12-01

The increased use of social networking is changing the way that scientific societies interact with their members and others. The American Association for the Advancement of Science (AAAS) uses a variety of online networks to engage its members and the broader scientific community. AAAS members and non-members can interact with AAAS staff and each other on AAAS sites on Facebook, YouTube, and Twitter, as well as blogs and forums on the AAAS website (www.aaas.org). These tools allow scientists to more readily become engaged in policy by providing information on current science policy topics as well as methods of involvement. For example, members and the public can comment on policy-relevant stories from Science magazine’s ScienceInsider blog, download a weekly policy podcast, receive a weekly email update of policy issues affecting the scientific community, or watch a congressional hearing from their computer. AAAS resource websites and outreach programs, including Communicating Science (www.aaas.org/communicatingscience), Working with Congress (www.aaas.org/spp/cstc/) and Science Careers (http://sciencecareers.sciencemag.org) also provide tools for scientists to become more personally engaged in communicating their findings and involved in the policy process.

[Opinions of a group of university students about science and technology].

PubMed

Lisker, Rubén; Carnevale, Alessandra; Pérez Vera, Patricia; Betancourt, Miguel

2002-01-01

To learn the opinions of university students of four different areas on the impact of science and technology on society. One Hundred and sixty three close to graduate students of the Universidad Autonoma Metropolitana campus Iztapalapa, distributed as follows: Administration 59, Biology 50, Social Sciences 36 and Engineering 18. For the survey we translated into spanish part of a questionnaire employed in several countries to explore ideas on the impact of science and technology on society of several groups. It contained general questions such as. Do you believe that science and technology are equally good or bad to society, or degree of knowledge of several technologies such as computation or in vitro fertilization. It includes also more specific questions, such as would your have problems with the use of genetically modified vegetables? The results suggested that Administration and Social Sciences students had less interest in Science and Technology than the other, and that in general, the knowledge of all students is rather limited including biotechnology, genetic enginering and gene therapy. We compared the results with those obtained previously in a group of Mexican Physicians and Biology students from India, Thailand and Singapor.

Collaborative workbench for cyberinfrastructure to accelerate science algorithm development

NASA Astrophysics Data System (ADS)

Ramachandran, R.; Maskey, M.; Kuo, K.; Lynnes, C.

2013-12-01

There are significant untapped resources for information and knowledge creation within the Earth Science community in the form of data, algorithms, services, analysis workflows or scripts, and the related knowledge about these resources. Despite the huge growth in social networking and collaboration platforms, these resources often reside on an investigator's workstation or laboratory and are rarely shared. A major reason for this is that there are very few scientific collaboration platforms, and those that exist typically require the use of a new set of analysis tools and paradigms to leverage the shared infrastructure. As a result, adoption of these collaborative platforms for science research is inhibited by the high cost to an individual scientist of switching from his or her own familiar environment and set of tools to a new environment and tool set. This presentation will describe an ongoing project developing an Earth Science Collaborative Workbench (CWB). The CWB approach will eliminate this barrier by augmenting a scientist's current research environment and tool set to allow him or her to easily share diverse data and algorithms. The CWB will leverage evolving technologies such as commodity computing and social networking to design an architecture for scalable collaboration that will support the emerging vision of an Earth Science Collaboratory. The CWB is being implemented on the robust and open source Eclipse framework and will be compatible with widely used scientific analysis tools such as IDL. The myScience Catalog built into CWB will capture and track metadata and provenance about data and algorithms for the researchers in a non-intrusive manner with minimal overhead. Seamless interfaces to multiple Cloud services will support sharing algorithms, data, and analysis results, as well as access to storage and computer resources. A Community Catalog will track the use of shared science artifacts and manage collaborations among researchers.

Conference on the Neurobiology of Learning and Memory (2nd).

DTIC Science & Technology

1986-05-30

Illinois The Rockefeller University 603 E. Daniel 1230 York Ave. Champaign, IL 61820 New York, NY 10021 Mr. Steven M. Guich Dr. Franz Hock Social Sciences...Psychology Edmonton, Alberta T6H 2B9 John Hopkins University Canada Baltimore, MD 21218 Mr. Steven Hampson Ms. Carol A. Hunt Information and Computer...Irvine, CA 92717 University of California Irvine, CA 92717 Dr. David LaBerge Cognitive Sciences Mr. Richard S. Lewis University of California Department

Computational social network modeling of terrorist recruitment.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Berry, Nina M.; Turnley, Jessica Glicken; Smrcka, Julianne D.

2004-10-01

The Seldon terrorist model represents a multi-disciplinary approach to developing organization software for the study of terrorist recruitment and group formation. The need to incorporate aspects of social science added a significant contribution to the vision of the resulting Seldon toolkit. The unique addition of and abstract agent category provided a means for capturing social concepts like cliques, mosque, etc. in a manner that represents their social conceptualization and not simply as a physical or economical institution. This paper provides an overview of the Seldon terrorist model developed to study the formation of cliques, which are used as the majormore » recruitment entity for terrorist organizations.« less

The Beneficial Role of Random Strategies in Social and Financial Systems

NASA Astrophysics Data System (ADS)

Biondo, Alessio Emanuele; Pluchino, Alessandro; Rapisarda, Andrea

2013-05-01

In this paper we focus on the beneficial role of random strategies in social sciences by means of simple mathematical and computational models. We briefly review recent results obtained by two of us in previous contributions for the case of the Peter principle and the efficiency of a Parliament. Then, we develop a new application of random strategies to the case of financial trading and discuss in detail our findings about forecasts of markets dynamics.

The 159th national meeting of the American Association for the advancement of science

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

This volume is the program/abstracts for the 1993 national meeting of the American Association for the Advancement of Science. The meeting was held in Boston from 11-16 February 1993. Symposia dealt with works on the following topics; perspectives on human genetics; confronting AIDS; biology, cells bugs; medical research society; social psychology neuroscience; future chemistry, from carbon to silicon; measuring the matter energy of the universe; earth's ever-changing atmosphere; causing coping with environmental change; agricultural biotechnology, plant protection production; science corporate enterprise; examining reforming the economic system; science, ethics the law; communicating science to the public; information technology the changing facemore » of science; mathematics, concepts computations; international cooperation human survival; science for everyone; science religion, examining both; anthropology, dynamics of human history; international science issues; improving formal science education; and science education reform in America. Separate abstracts have been prepared for articles from this volume.« less

On Muthen's Maximum Likelihood for Two-Level Covariance Structure Models

ERIC Educational Resources Information Center

Yuan, Ke-Hai; Hayashi, Kentaro

2005-01-01

Data in social and behavioral sciences are often hierarchically organized. Special statistical procedures that take into account the dependence of such observations have been developed. Among procedures for 2-level covariance structure analysis, Muthen's maximum likelihood (MUML) has the advantage of easier computation and faster convergence. When…

Maximum Likelihood Estimation of Nonlinear Structural Equation Models with Ignorable Missing Data

ERIC Educational Resources Information Center

Lee, Sik-Yum; Song, Xin-Yuan; Lee, John C. K.

2003-01-01

The existing maximum likelihood theory and its computer software in structural equation modeling are established on the basis of linear relationships among latent variables with fully observed data. However, in social and behavioral sciences, nonlinear relationships among the latent variables are important for establishing more meaningful models…

Improving Access to Data While Protecting Confidentiality: Prospects for the Future.

ERIC Educational Resources Information Center

Duncan, George T.; Pearson, Robert W.

Providing researchers, especially those in the social sciences, with access to publicly collected microdata furthers research while advancing public policy goals in a democratic society. However, while technological improvements have eased remote access to these databases and enabled computer using researchers to perform sophisticated statistical…

Deriving Empirically-Based Design Guidelines for Advanced Learning Technologies that Foster Disciplinary Comprehension

ERIC Educational Resources Information Center

Poitras, Eric; Trevors, Gregory

2012-01-01

Planning, conducting, and reporting leading-edge research requires professionals who are capable of highly skilled reading. This study reports the development of an empirically informed computer-based learning environment designed to foster the acquisition of reading comprehension strategies that mediate expertise in the social sciences. Empirical…

Computer Techniques for Studying Coverage, Overlaps, and Gaps in Collections.

ERIC Educational Resources Information Center

White, Howard D.

1987-01-01

Describes techniques for using the Statistical Package for the Social Sciences (SSPS) to create tables for cooperative collection development across a number of libraries. Specific commands are given to generate holdings profiles focusing on collection coverage, overlaps, gaps, or other areas of interest, from a master bibliographic list. (CLB)

Women and the Information Revolution.

ERIC Educational Resources Information Center

Bajcsy, Ruzena; Reynolds, Craig

2000-01-01

Provides a social and economic context to the information revolution and women's part in it. Speculates on how current and near-term developments in information technology can benefit women scientists from all disciplines. Discusses some of the efforts of the National Science Foundation (NSF) to increase the participation of women in computer and…

Four Argonne National Laboratory scientists receive Early Career Research

Science.gov Websites

Media Contacts Social Media Photos Videos Fact Sheets, Brochures and Reports Summer Science Writing Writing Internship Four Argonne National Laboratory scientists receive Early Career Research Program economic impact of cascading shortages. He will also seek to enable scaling on high-performance computing

Age Factor Related to Hypoxia Tolerance

DTIC Science & Technology

2000-08-01

Social Sciences 6.0 (SPSS) computer software, found between first-time subjects and those of 2nd and A descriptive study has been carried out of the 3rd...differ between the carboxyhaemoglobin and the 37: 192-201. oxyhaemoglobin. 5. Rosenzweig M.R. Psicologia However Dillard et al. (14) studied the

Agent-Based Models in Empirical Social Research

ERIC Educational Resources Information Center

Bruch, Elizabeth; Atwell, Jon

2015-01-01

Agent-based modeling has become increasingly popular in recent years, but there is still no codified set of recommendations or practices for how to use these models within a program of empirical research. This article provides ideas and practical guidelines drawn from sociology, biology, computer science, epidemiology, and statistics. We first…

Social Science Instructional Modules Workshop.

ERIC Educational Resources Information Center

Nelson, Elizabeth; Nelson, Edward

The five instructional packages in this collection were created by faculty members in the California State Universities to introduce students--and even faculty--to the easy steps involved in working with computers in instructional settings. Designed for students and faculty in entry-level courses who have little or no background in quantitative…

Elementary Age Children and Remote Sensing: Research from Project Omega.

ERIC Educational Resources Information Center

Kirman, Joseph M.

1991-01-01

Discusses remote sensing technology use in teaching elementary school students about science and social studies. Reviews findings dealing with the use of remote sensing and considering children's abilities, teacher training, computer applications, gifted children, and sex-related differences. Concludes that children as young as grade three can…

Asking Research Questions: Theoretical Presuppositions

ERIC Educational Resources Information Center

Tenenberg, Josh

2014-01-01

Asking significant research questions is a crucial aspect of building a research foundation in computer science (CS) education. In this article, I argue that the questions that we ask are shaped by internalized theoretical presuppositions about how the social and behavioral worlds operate. And although such presuppositions are essential in making…

Activity Book. Celebrate Apollo 11.

ERIC Educational Resources Information Center

Barchert, Linda; And Others

1994-01-01

An activity book helps students learn about the 1969 Apollo 11 mission to the moon as they get a sense of the mission's impact on their lives. The activities enhance understanding of science, math, social studies, and language arts. A teacher's page offers information on books, magazines, computer materials, and special resources. (SM)

Restructuring from the Inside Out: Starring Roles for Classrooms.

ERIC Educational Resources Information Center

Carnow, Gary A.

1992-01-01

Describes five educational restructuring projects that have been taking place in the Alhambra School District in California. Includes descriptions of literature instruction, multimedia research in high school social science, notebook computers and high school at-risk students, LogoWriter for grades 7-8, and interactive video for fourth graders.…

Advances in Machine Learning and Data Mining for Astronomy

NASA Astrophysics Data System (ADS)

Way, Michael J.; Scargle, Jeffrey D.; Ali, Kamal M.; Srivastava, Ashok N.

2012-03-01

Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines, the material discussed in this text transcends traditional boundaries between various areas in the sciences and computer science. The book's introductory part provides context to issues in the astronomical sciences that are also important to health, social, and physical sciences, particularly probabilistic and statistical aspects of classification and cluster analysis. The next part describes a number of astrophysics case studies that leverage a range of machine learning and data mining technologies. In the last part, developers of algorithms and practitioners of machine learning and data mining show how these tools and techniques are used in astronomical applications. With contributions from leading astronomers and computer scientists, this book is a practical guide to many of the most important developments in machine learning, data mining, and statistics. It explores how these advances can solve current and future problems in astronomy and looks at how they could lead to the creation of entirely new algorithms within the data mining community.

Social energy: mining energy from the society

DOE Office of Scientific and Technical Information (OSTI.GOV)

Zhang, Jun Jason; Gao, David Wenzhong; Zhang, Yingchen

The inherent nature of energy, i.e., physicality, sociality and informatization, implies the inevitable and intensive interaction between energy systems and social systems. From this perspective, we define 'social energy' as a complex sociotechnical system of energy systems, social systems and the derived artificial virtual systems which characterize the intense intersystem and intra-system interactions. The recent advancement in intelligent technology, including artificial intelligence and machine learning technologies, sensing and communication in Internet of Things technologies, and massive high performance computing and extreme-scale data analytics technologies, enables the possibility of substantial advancement in socio-technical system optimization, scheduling, control and management. In thismore » paper, we provide a discussion on the nature of energy, and then propose the concept and intention of social energy systems for electrical power. A general methodology of establishing and investigating social energy is proposed, which is based on the ACP approach, i.e., 'artificial systems' (A), 'computational experiments' (C) and 'parallel execution' (P), and parallel system methodology. A case study on the University of Denver (DU) campus grid is provided and studied to demonstrate the social energy concept. In the concluding remarks, we discuss the technical pathway, in both social and nature sciences, to social energy, and our vision on its future.« less

Can the behavioral sciences self-correct? A social epistemic study.

PubMed

Romero, Felipe

2016-12-01

Advocates of the self-corrective thesis argue that scientific method will refute false theories and find closer approximations to the truth in the long run. I discuss a contemporary interpretation of this thesis in terms of frequentist statistics in the context of the behavioral sciences. First, I identify experimental replications and systematic aggregation of evidence (meta-analysis) as the self-corrective mechanism. Then, I present a computer simulation study of scientific communities that implement this mechanism to argue that frequentist statistics may converge upon a correct estimate or not depending on the social structure of the community that uses it. Based on this study, I argue that methodological explanations of the "replicability crisis" in psychology are limited and propose an alternative explanation in terms of biases. Finally, I conclude suggesting that scientific self-correction should be understood as an interaction effect between inference methods and social structures. Copyright © 2016 Elsevier Ltd. All rights reserved.

Search and rescue in collapsed structures: engineering and social science aspects.

PubMed

El-Tawil, Sherif; Aguirre, Benigno

2010-10-01

This paper discusses the social science and engineering dimensions of search and rescue (SAR) in collapsed buildings. First, existing information is presented on factors that influence the behaviour of trapped victims, particularly human, physical, socioeconomic and circumstantial factors. Trapped victims are most often discussed in the context of structural collapse and injuries sustained. Most studies in this area focus on earthquakes as the type of disaster that produces the most extensive structural damage. Second, information is set out on the engineering aspects of urban search and rescue (USAR) in the United States, including the role of structural engineers in USAR operations, training and certification of structural specialists, and safety and general procedures. The use of computational simulation to link the engineering and social science aspects of USAR is discussed. This could supplement training of local SAR groups and USAR teams, allowing them to understand better the collapse process and how voids form in a rubble pile. A preliminary simulation tool developed for this purpose is described. © 2010 The Author(s). Journal compilation © Overseas Development Institute, 2010.

Identity in agent-based models : modeling dynamic multiscale social processes.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Ozik, J.; Sallach, D. L.; Macal, C. M.

Identity-related issues play central roles in many current events, including those involving factional politics, sectarianism, and tribal conflicts. Two popular models from the computational-social-science (CSS) literature - the Threat Anticipation Program and SharedID models - incorporate notions of identity (individual and collective) and processes of identity formation. A multiscale conceptual framework that extends some ideas presented in these models and draws other capabilities from the broader CSS literature is useful in modeling the formation of political identities. The dynamic, multiscale processes that constitute and transform social identities can be mapped to expressive structures of the framework

Foundations for a new science of learning.

PubMed

Meltzoff, Andrew N; Kuhl, Patricia K; Movellan, Javier; Sejnowski, Terrence J

2009-07-17

Human learning is distinguished by the range and complexity of skills that can be learned and the degree of abstraction that can be achieved compared with those of other species. Homo sapiens is also the only species that has developed formal ways to enhance learning: teachers, schools, and curricula. Human infants have an intense interest in people and their behavior and possess powerful implicit learning mechanisms that are affected by social interaction. Neuroscientists are beginning to understand the brain mechanisms underlying learning and how shared brain systems for perception and action support social learning. Machine learning algorithms are being developed that allow robots and computers to learn autonomously. New insights from many different fields are converging to create a new science of learning that may transform educational practices.

Foundations for a New Science of Learning

PubMed Central

Meltzoff, Andrew N.; Kuhl, Patricia K.; Movellan, Javier; Sejnowski, Terrence J.

2009-01-01

Human learning is distinguished by the range and complexity of skills that can be learned and the degree of abstraction that can be achieved compared to other species. Humans are also the only species that has developed formal ways to enhance learning: teachers, schools, and curricula. Human infants have an intense interest in people and their behavior, and possess powerful implicit learning mechanisms that are affected by social interaction. Neuroscientists are beginning to understand the brain mechanisms underlying learning and how shared brain systems for perception and action support social learning. Machine learning algorithms are being developed that allow robots and computers to learn autonomously. New insights from many different fields are converging to create a new science of learning that may transform educational practices. PMID:19608908

New Sociotechnical Insights in Interaction Design

NASA Astrophysics Data System (ADS)

Abdelnour-Nocera, José; Mørch, Anders I.

New challenges are facing interaction design. On one hand because of advances in technology - pervasive, ubiquitous, multimodal and adaptive computing - are changing the nature of interaction. On the other, web 2.0, massive multiplayer games and collaboration software extends the boundaries of HCI to deal with interaction in settings of remote communication and collaboration. The aim of this workshop is to provide a forum for HCI practitioners and researchers interested in knowledge from the social sciences to discuss how sociotechnical insights can be used to inform interaction design, and more generally how social science methods and theories can help to enrich the conceptual framework of systems development and participatory design. Position papers submissions are invited to address key aspects of current research and practical case studies.

Social Media and Language Processing: How Facebook and Twitter Provide the Best Frequency Estimates for Studying Word Recognition.

PubMed

Herdağdelen, Amaç; Marelli, Marco

2017-05-01

Corpus-based word frequencies are one of the most important predictors in language processing tasks. Frequencies based on conversational corpora (such as movie subtitles) are shown to better capture the variance in lexical decision tasks compared to traditional corpora. In this study, we show that frequencies computed from social media are currently the best frequency-based estimators of lexical decision reaction times (up to 3.6% increase in explained variance). The results are robust (observed for Twitter- and Facebook-based frequencies on American English and British English datasets) and are still substantial when we control for corpus size. © 2016 The Authors. Cognitive Science published by Wiley Periodicals, Inc. on behalf of Cognitive Science Society.

The philosophy of scientific experimentation: a review

PubMed Central

2009-01-01

Practicing and studying automated experimentation may benefit from philosophical reflection on experimental science in general. This paper reviews the relevant literature and discusses central issues in the philosophy of scientific experimentation. The first two sections present brief accounts of the rise of experimental science and of its philosophical study. The next sections discuss three central issues of scientific experimentation: the scientific and philosophical significance of intervention and production, the relationship between experimental science and technology, and the interactions between experimental and theoretical work. The concluding section identifies three issues for further research: the role of computing and, more specifically, automating, in experimental research, the nature of experimentation in the social and human sciences, and the significance of normative, including ethical, problems in experimental science. PMID:20098589

An Interdisciplinary Approach Between Medical Informatics and Social Sciences to Transdisciplinary Requirements Engineering for an Integrated Care Setting.

PubMed

Vielhauer, Jan; Böckmann, Britta

2017-01-01

Requirements engineering of software products for elderly people faces some special challenges to ensure a maximum of user acceptance. Within the scope of a research project, a web-based platform and a mobile app are approached to enable people to live in their own home as long as possible. This paper is about a developed method of interdisciplinary requirements engineering by a team of social scientists in cooperation with computer scientists.

Scaffolding scientific discussion using socially relevant representations in networked multimedia

NASA Astrophysics Data System (ADS)

Hoadley, Christopher M.

1999-11-01

How do students make use of social cues when learning on the computer? This work examines how students in a middle-school science course learned through on-line peer discussion. Cognitive accounts of collaboration stress interacting with ideas, while socially situated accounts stress the interpersonal context. The design of electronic environments allows investigation into the interrelation of cognitive and social dimensions. I use on-line peer discussion to investigate how socially relevant representations in interfaces can aid learning. First, I identify some of the variables that affect individual participation in on-line discussion, including interface features. Individual participation is predicted by student attitudes towards learning from peers. Second, I describe the range of group outcomes for these on-line discussions. There is a large effect of discussion group on learning outcomes which is not reducible to group composition or gross measures of group process. Third, I characterize how students (individually) construct understanding from these group discussions. Learning in the on-line discussions is shown to be a result of sustained interaction over time, not merely encountering or expressing ideas. Experimental manipulations in the types of social cues available to students suggest that many students do use socially relevant representations to support their understanding of multiple viewpoints and science reasoning. Personalizing scientific disputes can afford reflection on the nature of scientific discovery and advance. While there are many individual differences in how social representations are used by students in learning, overall learning benefits for certain social representations can be shown. This work has profound implications for design of collaborative instructional methods, equitable access to science learning, design of instructional technology, and understanding of learning and cognition in social settings.

Benefits and applications of interdisciplinary digital tools for environmental meta-reviews and analyses

NASA Astrophysics Data System (ADS)

Grubert, Emily; Siders, Anne

2016-09-01

Digitally-aided reviews of large bodies of text-based information, such as academic literature, are growing in capability but are not yet common in environmental fields. Environmental sciences and studies can benefit from application of digital tools to create comprehensive, replicable, interdisciplinary reviews that provide rapid, up-to-date, and policy-relevant reports of existing work. This work reviews the potential for applications of computational text mining and analysis tools originating in the humanities to environmental science and policy questions. Two process-oriented case studies of digitally-aided environmental literature reviews and meta-analyses illustrate potential benefits and limitations. A medium-sized, medium-resolution review (∼8000 journal abstracts and titles) focuses on topic modeling as a rapid way to identify thematic changes over time. A small, high-resolution review (∼300 full text journal articles) combines collocation and network analysis with manual coding to synthesize and question empirical field work. We note that even small digitally-aided analyses are close to the upper limit of what can be done manually. Established computational methods developed in humanities disciplines and refined by humanities and social science scholars to interrogate large bodies of textual data are applicable and useful in environmental sciences but have not yet been widely applied. Two case studies provide evidence that digital tools can enhance insight. Two major conclusions emerge. First, digital tools enable scholars to engage large literatures rapidly and, in some cases, more comprehensively than is possible manually. Digital tools can confirm manually identified patterns or identify additional patterns visible only at a large scale. Second, digital tools allow for more replicable and transparent conclusions to be drawn from literature reviews and meta-analyses. The methodological subfields of digital humanities and computational social sciences will likely continue to create innovative tools for analyzing large bodies of text, providing opportunities for interdisciplinary collaboration with the environmental fields.

Social Media as a New Vital Sign: Commentary

PubMed Central

2018-01-01

Mobile technologies, such as wireless glucometers and mobile health apps, are increasingly being integrated into health and medical care. Because patients openly share real-time information about their health behaviors and outcomes on social media, social media data may also be used as a tool for monitoring patient care. This commentary describes how recent advances in computer science, psychology, and medicine enable social media data to become a new health “vital sign,” as well as actionable steps that public health officials, health systems, and clinics can take to integrate social data into both public and population health as well as into individual patient care. Barriers that first need to be addressed, including privacy concerns, legal and ethical responsibilities, and infrastructure support, are discussed. PMID:29712631

Rethinking Approaches to Exploration and Analysis of Big Data in Earth Science

NASA Astrophysics Data System (ADS)

Graves, S. J.; Maskey, M.

2015-12-01

With increasing amounts of data available for exploration and analysis, there are increasing numbers of users that need information extracted from the data for very specific purposes. Many of the specific purposes may not have even been considered yet so how do computational and data scientists plan for this diverse and not well defined set of possible users? There are challenges to be considered in the computational architectures, as well as the organizational structures for the data to allow for the best possible exploration and analytical capabilities. Data analytics need to be a key component in thinking about the data structures and types of storage of these large amounts of data, coming from a variety of sensing platforms that may be space based, airborne, in situ and social media. How do we provide for better capabilities for exploration and anaylsis at the point of collection for real-time or near real-time requirements? This presentation will address some of the approaches being considered and the challenges the computational and data science communities are facing in collaboration with the Earth Science research and application communities.

Social Computing as Next-Gen Learning Paradigm: A Platform and Applications

NASA Astrophysics Data System (ADS)

Margherita, Alessandro; Taurino, Cesare; Del Vecchio, Pasquale

As a field at the intersection between computer science and people behavior, social computing can contribute significantly in the endeavor of innovating how individuals and groups interact for learning and working purposes. In particular, the generation of Internet applications tagged as web 2.0 provides an opportunity to create new “environments” where people can exchange knowledge and experience, create new knowledge and learn together. This chapter illustrates the design and application of a prototypal platform which embeds tools such as blog, wiki, folksonomy and RSS in a unique web-based system. This platform has been developed to support a case-based and project-driven learning strategy for the development of business and technology management competencies in undergraduate and graduate education programs. A set of illustrative scenarios are described to show how a learning community can be promoted, created, and sustained through the technological platform.

Learning experiences of science teachers in a computer-mediated communication context

NASA Astrophysics Data System (ADS)

Chung, Chia-Jung

The use of computer-mediated-communication (CMC) has been applied increasingly in staff development efforts for teachers. Many teacher education programs are looking to CMC, particularly computer conferencing systems, as an effective and low-cost medium for the delivery of teacher educational programs anytime, anywhere. Based on constructivist learning theories, this study focused on examining the use of an online discussion board in a graduate course as a place where forty-six inservice teachers shared experiences and ideas. Data collection focused on online discussion transcripts of all the messages from three separate weeks, and supplemented by interviews and teacher self-evaluation reports. The nature and development of the discussions were studied over one semester by analyzing teacher online discussions in two domains: critical reflections and social-interpersonal rapport. In effect, this study provided insights into how to employ computer conferencing technology in facilitating inservice teachers' teaching practices and their professional development. Major findings include: (1) Participation: The level of participation varied during the semester but was higher at the beginning of the semester and lower at the end of the semester. (2) Critical Reflection: Teachers' critical reflection developed over time as a result of the online discussion board according to mean critical thinking scores during the three selected weeks. Cognitive presence was found mostly in focused discussion forums and social presence mainly existed in the unfocused discussion forums. (3) Social-Interpersonal Rapport: The number of social cues in the messages increased initially but declined significantly over time. When teachers focused more on on-task discussions or critical reflection, there was less social conversation. (4) Teaching Practices and Professional Development: The researcher, the instructor, and teachers identified some advantages for using computer conferencing for improving teaching practices and for professional development. The results of this study suggest that applying computer-mediated communication in teacher education would impact positively on teachers' growth in critical reflection and social-interpersonal rapport. Furthermore, this study may encourage other researchers to use cognitive and social learning theories as the theoretical backgrounds for developing teacher educational models by applying computer conferencing.

Oak Ridge National Laboratory Core Competencies

DOE Office of Scientific and Technical Information (OSTI.GOV)

Roberto, J.B.; Anderson, T.D.; Berven, B.A.

1994-12-01

A core competency is a distinguishing integration of capabilities which enables an organization to deliver mission results. Core competencies represent the collective learning of an organization and provide the capacity to perform present and future missions. Core competencies are distinguishing characteristics which offer comparative advantage and are difficult to reproduce. They exhibit customer focus, mission relevance, and vertical integration from research through applications. They are demonstrable by metrics such as level of investment, uniqueness of facilities and expertise, and national impact. The Oak Ridge National Laboratory (ORNL) has identified four core competencies which satisfy the above criteria. Each core competencymore » represents an annual investment of at least $100M and is characterized by an integration of Laboratory technical foundations in physical, chemical, and materials sciences; biological, environmental, and social sciences; engineering sciences; and computational sciences and informatics. The ability to integrate broad technical foundations to develop and sustain core competencies in support of national R&D goals is a distinguishing strength of the national laboratories. The ORNL core competencies are: 9 Energy Production and End-Use Technologies o Biological and Environmental Sciences and Technology o Advanced Materials Synthesis, Processing, and Characterization & Neutron-Based Science and Technology. The distinguishing characteristics of each ORNL core competency are described. In addition, written material is provided for two emerging competencies: Manufacturing Technologies and Computational Science and Advanced Computing. Distinguishing institutional competencies in the Development and Operation of National Research Facilities, R&D Integration and Partnerships, Technology Transfer, and Science Education are also described. Finally, financial data for the ORNL core competencies are summarized in the appendices.« less

Collaborative Note-Taking: The Impact of Cloud Computing on Classroom Performance

ERIC Educational Resources Information Center

Orndorff, Harold N., III.

2015-01-01

This article presents the early findings of an experimental design to see if students perform better when taking collaborative notes in small groups as compared to students who use traditional notes. Students are increasingly bringing electronic devices into social science classrooms. Few instructors have attempted robustly and systematically to…

Reality Is Our Laboratory: Communities of Practice in Applied Computer Science

ERIC Educational Resources Information Center

Rohde, M.; Klamma, R.; Jarke, M.; Wulf, V.

2007-01-01

The present paper presents a longitudinal study of the course "High-tech Entrepreneurship and New Media." The course design is based on socio-cultural theories of learning and considers the role of social capital in entrepreneurial networks. By integrating student teams into the communities of practice of local start-ups, we offer…

Translating between Representations in a Social Context: A Study of Undergraduate Science Students' Representational Fluency

ERIC Educational Resources Information Center

Nichols, Kim; Ranasinghe, Muditha; Hanan, Jim

2013-01-01

Interacting with and translating across multiple representations is an essential characteristic of expertise and representational fluency. In this study, we explored the effect of interacting with and translating between representations in a computer simulation or in a paper-based assignment on scientific accuracy of undergraduate science…

A COMPUTERIZED BIBLIOGRAPHY OF MASS COMMUNICATION RESEARCH, 1944-1964.

ERIC Educational Resources Information Center

DANIELSON, WAYNE A.; WILHOIT, G.C., JR.

THIS IS A KEY-WORD-IN-CONTEXT INDEX AND BIBLIOGRAPHY ON MASS COMMUNICATIONS RESEARCH AS REPORTED IN THE SOCIAL SCIENCE JOURNAL LITERATURE, PARTICULARLY, AS RELATED TO THE INTEREST OF MAGAZINE EXECUTIVES. TABLES IN THE INTRODUCTION SUMMARIZE COMPUTER FINDINGS ON THE LITERATURE ACCORDING TO RESEARCH METHOD USED IN THE STUDIES, THEIR RELEVANCE TO…

Bayesian Asymmetric Regression as a Means to Estimate and Evaluate Oral Reading Fluency Slopes

ERIC Educational Resources Information Center

Solomon, Benjamin G.; Forsberg, Ole J.

2017-01-01

Bayesian techniques have become increasingly present in the social sciences, fueled by advances in computer speed and the development of user-friendly software. In this paper, we forward the use of Bayesian Asymmetric Regression (BAR) to monitor intervention responsiveness when using Curriculum-Based Measurement (CBM) to assess oral reading…

Providing Computer-Based Information Services to an Academic Community. Final Technical Report.

ERIC Educational Resources Information Center

Bayer, Bernard

The Mechanized Information Center (MIC) at the Ohio State University conducts retrospective and current awareness searches for faculty, students, and staff using data bases for agriculture, chemistry, education, psychology, and social sciences, as well as a multidisciplinary data base. The final report includes (1) a description of the background…

Research Trends in Technology-Based Learning from 2000 to 2009: A Content Analysis of Publications in Selected Journals

ERIC Educational Resources Information Center

Hsu, Yu-Chen; Ho, Hsin Ning Jessie; Tsai, Chin-Chung; Hwang, Gwo-Jen; Chu, Hui-Chun; Wang, Chin-Yeh; Chen, Nian-Shing

2012-01-01

This paper provides a content analysis of studies in technology-based learning (TBL) that were published in five Social Sciences Citation Index (SSCI) journals (i.e. "the British Journal of Educational Technology, Computers & Education, Educational Technology Research & Development, Educational Technology & Society, the Journal of Computer…

Innovation from a Computational Social Science Perspective: Analyses and Models

ERIC Educational Resources Information Center

Casstevens, Randy M.

2013-01-01

Innovation processes are critical for preserving and improving our standard of living. While innovation has been studied by many disciplines, the focus has been on qualitative measures that are specific to a single technological domain. I adopt a quantitative approach to investigate underlying regularities that generalize across multiple domains.…

Quantitative Research Methods in Chaos and Complexity: From Probability to Post Hoc Regression Analyses

ERIC Educational Resources Information Center

Gilstrap, Donald L.

2013-01-01

In addition to qualitative methods presented in chaos and complexity theories in educational research, this article addresses quantitative methods that may show potential for future research studies. Although much in the social and behavioral sciences literature has focused on computer simulations, this article explores current chaos and…

Women and Minorities in High-Tech Careers. ERIC Digest No. 226.

ERIC Educational Resources Information Center

Brown, Bettina Lankard

Women and minorities are underrepresented in technology-related careers for many reasons, including lack of access, level of math and science achievement, and emotional and social attitudes about computer capabilities. Schools and teachers can use the following strategies to attract women and minorities to high-tech careers and prepare them for…

Games and Web 2.0: A Winning Combination for Millennials

ERIC Educational Resources Information Center

Spiegelman, Marsha; Glass, Richard

2009-01-01

Gaming and social networking define the millennial student. This research focuses on an evolving collaboration between 2 faculty members of different disciplines who merged Web 2.0 and game scenarios to infuse research techniques as integral components of math/computer science courses. Blogs and wikis facilitated student-faculty interaction beyond…

Toward Psychoinformatics: Computer Science Meets Psychology

PubMed Central

Duke, Éilish; Markowetz, Alexander

2016-01-01

The present paper provides insight into an emerging research discipline called Psychoinformatics. In the context of Psychoinformatics, we emphasize the cooperation between the disciplines of psychology and computer science in handling large data sets derived from heavily used devices, such as smartphones or online social network sites, in order to shed light on a large number of psychological traits, including personality and mood. New challenges await psychologists in light of the resulting “Big Data” sets, because classic psychological methods will only in part be able to analyze this data derived from ubiquitous mobile devices, as well as other everyday technologies. As a consequence, psychologists must enrich their scientific methods through the inclusion of methods from informatics. The paper provides a brief review of one area of this research field, dealing mainly with social networks and smartphones. Moreover, we highlight how data derived from Psychoinformatics can be combined in a meaningful way with data from human neuroscience. We close the paper with some observations of areas for future research and problems that require consideration within this new discipline. PMID:27403204

English for Scientific Purposes (EScP): Technology, Trends, and Future Challenges for Science Education

NASA Astrophysics Data System (ADS)

Liu, Gi-Zen; Chiu, Wan-Yu; Lin, Chih-Chung; Barrett, Neil E.

2014-12-01

To date, the concept of English for Specific Purposes has brought about a great impact on English language learning across various disciplines, including those in science education. Hence, this review paper aimed to address current English language learning in the science disciplines through the practice of computer-assisted language learning to identify the use of learning technologies in science-based literacy. In the literature review, the researchers found that science-based literacy instruction shares many pedagogical aims with English language teaching in terms of reading, writing, listening and speaking, allowing it to be classified as English for Scientific Purposes (EScP). To answer the research questions, the researchers conducted the survey by extracting related articles and teaching examples from the Web of Science. In the search procedure, the researchers used the keywords science OR scientific AND technolog* OR comput* in ten selected journals of social science citation index. Only articles which are specified as journal articles rather than other document types were included. After compiling the corpora, the researchers compared the trends, methodologies and results of EScP instruction in science education. The implications of this study include the opportunities, advantages and challenges for EScP instruction in science education to further develop better educational approaches, adopt new technologies, as well as offer some directions for researchers to conduct future studies.

Proactive health computing.

PubMed

Timpka, T

2001-08-01

In an analysis departing from the global health situation, the foundation for a change of paradigm in health informatics based on socially embedded information infrastructures and technologies is identified and discussed. It is shown how an increasing computing and data transmitting capacity can be employed for proactive health computing. As a foundation for ubiquitous health promotion and prevention of disease and injury, proactive health systems use data from multiple sources to supply individuals and communities evidence-based information on means to improve their state of health and avoid health risks. The systems are characterised by: (1) being profusely connected to the world around them, using perceptual interfaces, sensors and actuators; (2) responding to external stimuli at faster than human speeds; (3) networked feedback loops; and (4) humans remaining in control, while being left outside the primary computing loop. The extended scientific mission of this new partnership between computer science, electrical engineering and social medicine is suggested to be the investigation of how the dissemination of information and communication technology on democratic grounds can be made even more important for global health than sanitation and urban planning became a century ago.

The causal attributions of nursing students toward adolescent survivors of brain injury.

PubMed

Linden, Mark A; McClure, John

2012-01-01

The hidden nature of brain injury means that it is often difficult for people to understand the sometimes challenging behaviors that individuals exhibit. The misattribution of these behaviors may lead to a lack of consideration and public censure if the individual is seen as simply misbehaving. The aim of this study was to explore the impact of visual cues indicating the presence or absence of brain injury on prejudice, desire for social interaction, and causal attributions of nursing and computing science students. An independent-groups design was employed in this research, which recruited 190 first-year nursing students and 194 first-year computing science students from a major university in Belfast, UK. A short passage describing an adolescent's behavior after a brain injury, together with one of three images portraying a young adolescent with a scar, a head dressing, or neither of these, was given to participants. They were then asked to answer questions relating to prejudice, social interaction, locus of control, and causal attributions. The attributional statements suggested that the character's behavior could be the result of brain injury or adolescence. Analysis of variance demonstrated a statistically significant difference between the student groups, where nursing students (M = 45.17, SD = 4.69) desired more social interaction with the fictional adolescent than their computer science peers (M = 38.64, SD = 7.69). Further, analysis of variance showed a main effect of image on the attributional statement that described adolescence as a suitable explanation for the character's lack of self-confidence. Attributions of brain injury were influenced by the presence of a visible but potentially specious indicator of injury. This suggests that survivors of brain injury who do not display any outward indicator may receive less care and face expectations to behave in a manner consistent with the norms of society. If their injury does not allow them to meet with these expectations, they may face public censure and discrimination.

Using minimal human-computer interfaces for studying the interactive development of social awareness

PubMed Central

Froese, Tom; Iizuka, Hiroyuki; Ikegami, Takashi

2014-01-01

According to the enactive approach to cognitive science, perception is essentially a skillful engagement with the world. Learning how to engage via a human-computer interface (HCI) can therefore be taken as an instance of developing a new mode of experiencing. Similarly, social perception is theorized to be primarily constituted by skillful engagement between people, which implies that it is possible to investigate the origins and development of social awareness using multi-user HCIs. We analyzed the trial-by-trial objective and subjective changes in sociality that took place during a perceptual crossing experiment in which embodied interaction between pairs of adults was mediated over a minimalist haptic HCI. Since that study required participants to implicitly relearn how to mutually engage so as to perceive each other's presence, we hypothesized that there would be indications that the initial developmental stages of social awareness were recapitulated. Preliminary results reveal that, despite the lack of explicit feedback about task performance, there was a trend for the clarity of social awareness to increase over time. We discuss the methodological challenges involved in evaluating whether this trend was characterized by distinct developmental stages of objective behavior and subjective experience. PMID:25309490

Six Suggestions for Research on Games in Cognitive Science.

PubMed

Chabris, Christopher F

2017-04-01

Games are more varied and occupy more of daily life than ever before. At the same time, the tools available to study game play and players are more powerful than ever, especially massive data sets from online platforms and computational engines that can accurately evaluate human decisions. This essay offers six suggestions for future cognitive science research on games: (1) Don't forget about chess, (2) Look beyond action games and chess, (3) Use (near)-optimal play to understand human play and players, (4) Investigate social phenomena, (5) Raise the standards for studies of games as treatments, (6) Talk to real experts. Copyright © 2017 Cognitive Science Society, Inc.

A review of small canned computer programs for survey research and demographic analysis.

PubMed

Sinquefield, J C

1976-12-01

A variety of small canned computer programs for survey research and demographic analysis appropriate for use in developing countries are reviewed in this article. The programs discussed are SPSS (Statistical Package for the Social Sciences); CENTS, CO-CENTS, CENTS-AID, CENTS-AIE II; MINI-TAB EDIT, FREQUENCIES, TABLES, REGRESSION, CLIENT RECORD, DATES, MULT, LIFE, and PREGNANCY HISTORY; FIVFIV and SINSIN; DCL (Demographic Computer Library); MINI-TAB Population Projection, Functional Population Projection, and Family Planning Target Projection. A description and evaluation for each program of uses, instruction manuals, computer requirements, and procedures for obtaining manuals and programs are provided. Such information is intended to facilitate and encourage the use of the computer by data processors in developing countries.

Use of social media and online tools for participative space education and citizen science in India: Perspectives of future space leaders

NASA Astrophysics Data System (ADS)

Khan, Aafaque; Sridhar, Apoorva

2012-07-01

The previous decade saw the emergence of internet in the new avatar popularly known as Web 2.0. After its inception, Internet (also known as Web 1.0) remained centralized and propriety controlled; the information was displayed in form of static pages and users could only browse through these pages connected via URLs (Unique Resource Locator), links and search engines. Web 2.0, on the other hand, has features and tools that allow users to engage in dialogue, interact and contribute to the content on the World Wide Web. As a Result, Social Media has become the most widely accepted medium of interactive and participative dialogue around the world. Social Media is not just limited to Social Networking; it extends from podcasts, webcasts, blogs, micro-blogs, wikis, forums to crowd sourcing, cloud storage, cloud computing and Voice over Internet Protocol. World over, there is a rising trend of using Social Media for Space Education and Outreach. Governments, Space Agencies, Universities, Industry and Organizations have realized the power of Social Media to communicate advancement of space science and technology, updates on space missions and their findings to the common man as well as to the researchers, scientists and experts around the world. In this paper, the authors intend to discuss, the perspectives, of young students and professionals in the space industry on various present and future possibilities of using Social Media in space outreach and citizen science, especially in India and other developing countries. The authors share a vision for developing Social Media platforms to communicate space science and technology, along innovative ideas on participative citizen science projects for various space based applications such as earth observation and space science. Opinions of various young students and professionals in the space industry from different parts of the world are collected and reflected through a comprehensive survey. Besides, a detailed study and review with various examples of present existing projects such as Open NASA, Zooniverse, SETI, Google Earth etc. Support these perspectives. Further, the authors put light on how developing countries can benefit from Space outreach and citizen science through Social Media to connect with the society. The paper concludes with various innovative ideas that are derived from the survey and discussions with these prospective space leaders, along with the insights of the authors on future strategies for such approaches in India and other developing nations. Demographically, youth provides the largest user-base to the Social Media and these young future space leaders are expert at using Social Media in their daily life. Thus, it is important that their collective and shared opinion is presented to the present policymakers and leaders of space agencies and industry.

Synchronization in complex networks

DOE Office of Scientific and Technical Information (OSTI.GOV)

Arenas, A.; Diaz-Guilera, A.; Moreno, Y.

Synchronization processes in populations of locally interacting elements are in the focus of intense research in physical, biological, chemical, technological and social systems. The many efforts devoted to understand synchronization phenomena in natural systems take now advantage of the recent theory of complex networks. In this review, we report the advances in the comprehension of synchronization phenomena when oscillating elements are constrained to interact in a complex network topology. We also overview the new emergent features coming out from the interplay between the structure and the function of the underlying pattern of connections. Extensive numerical work as well as analyticalmore » approaches to the problem are presented. Finally, we review several applications of synchronization in complex networks to different disciplines: biological systems and neuroscience, engineering and computer science, and economy and social sciences.« less

Multi-Relational Characterization of Dynamic Social Network Communities

NASA Astrophysics Data System (ADS)

Lin, Yu-Ru; Sundaram, Hari; Kelliher, Aisling

The emergence of the mediated social web - a distributed network of participants creating rich media content and engaging in interactive conversations through Internet-based communication technologies - has contributed to the evolution of powerful social, economic and cultural change. Online social network sites and blogs, such as Facebook, Twitter, Flickr and LiveJournal, thrive due to their fundamental sense of "community". The growth of online communities offers both opportunities and challenges for researchers and practitioners. Participation in online communities has been observed to influence people's behavior in diverse ways ranging from financial decision-making to political choices, suggesting the rich potential for diverse applications. However, although studies on the social web have been extensive, discovering communities from online social media remains challenging, due to the interdisciplinary nature of this subject. In this article, we present our recent work on characterization of communities in online social media using computational approaches grounded on the observations from social science.

Human Exploration Ethnography of the Haughton-Mars Project, 1998-1999

NASA Technical Reports Server (NTRS)

Clancey, William J.; Swanson, Keith (Technical Monitor)

1999-01-01

During the past two field seasons, July 1988 and 1999, we have conducted research about the field practices of scientists and engineers at Haughton Crater on Devon Island in the Canadian Arctic, with the objective of determining how people will live and work on Mars. This broad investigation of field life and work practice, part of the Haughton-Mars Project lead by Pascal Lee, spans social and cognitive anthropology, psychology, and computer science. Our approach involves systematic observation and description of activities, places, and concepts, constituting an ethnography of field science at Haughton. Our focus is on human behaviors-what people do, where, when, with whom, and why. By locating behavior in time and place-in contrast with a purely functional or "task oriented" description of work-we find patterns constituting the choreography of interaction between people, their habitat, and their tools. As such, we view the exploration process in terms of a total system comprising a social organization, facilities, terrain/climate, personal identities, artifacts, and computer tools. Because we are computer scientists seeking to develop new kinds of tools for living and working on Mars, we focus on the existing representational tools (such as documents and measuring devices), learning and improvization (such as use of the internet or informal assistance), and prototype computational systems brought to the field. Our research is based on partnership, by which field scientists and engineers actively contribute to our findings, just as we participate in their work and life.

[The Durkheim Test. Remarks on Susan Leigh Star's Boundary Objects].

PubMed

Gießmann, Sebastian

2015-09-01

The article reconstructs Susan Leigh Star's conceptual work on the notion of 'boundary objects'. It traces the emergence of the concept, beginning with her PhD thesis and its publication as Regions of the Mind in 1989. 'Boundary objects' attempt to represent the distributed, multifold nature of scientific work and its mediations between different 'social worlds'. Being addressed to several 'communities of practice', the term responded to questions from Distributed Artificial Intelligence in Computer Science, Workplace Studies and Computer Supported Cooperative Work (CSCW), and microhistorical approaches inside the growing Science and Technology Studies. Yet the interdisciplinary character and interpretive flexibility of Star’s invention has rarely been noticed as a conceptual tool for media theory. I therefore propose to reconsider Star's 'Durkheim test' for sociotechnical media practices.

A Corpus Investigation on the Journal of Social Sciences of the Turkic World

ERIC Educational Resources Information Center

Yilmaz, Isa

2018-01-01

In recent years, a rapid development in computer technologies has been witnessed and feasibility of data access has been increased. In today's world, restoring documents, or data in general, and transferring them to interested parties are ordinary tasks. The amount of restored documents has also increased expeditiously and this development has…

Analysis of USAREUR Family Housing.

DTIC Science & Technology

1985-04-01

Standard Installation/Division Personnel System SJA ................ Staff Judge Advocate SPSS ............... Statistical Package for the...for Projecting Family Housing Requirements. a. Attempts to define USAREUR’s programmable family housing deficit Sbased on the FHS have caused anguish ...responses using the Statistical Package for the Social Sciences ( SPSS ) computer program. E-2 ANNEX E RESPONSE TO ESC HOUSING QUESTIONNAIRE Section Page I

Higher Achievement and Improvement through Instruction with Computers and Scholarly Transition and Resource Systems Program. OREA Report.

ERIC Educational Resources Information Center

Berney, Tomi D.; Plotkin, Donna

Project HAITI STARS served 360 students, native speakers of Haitian Creole, Spanish, and Chinese, in its first year through supplementary instruction in English as a Second Language (ESL), native language arts (NLA), and bilingual mathematics, science, and social studies. The project provided students with academic and personal counseling,…

Comparing Indirect Effects in SEM: A Sequential Model Fitting Method Using Covariance-Equivalent Specifications

ERIC Educational Resources Information Center

Chan, Wai

2007-01-01

In social science research, an indirect effect occurs when the influence of an antecedent variable on the effect variable is mediated by an intervening variable. To compare indirect effects within a sample or across different samples, structural equation modeling (SEM) can be used if the computer program supports model fitting with nonlinear…

Restoration of neurological functions by neuroprosthetic technologies: future prospects and trends towards micro-, nano-, and biohybrid systems.

PubMed

Stieglitz, T

2007-01-01

Today applications of neural prostheses that successfully help patients to increase their activities of daily living and participate in social life again are quite simple implants that yield definite tissue response and are well recognized as foreign body. Latest developments in genetic engineering, nanotechnologies and materials sciences have paved the way to new scenarios towards highly complex systems to interface the human nervous system. Combinations of neural cells with microimplants promise stable biohybrid interfaces. Nanotechnology opens the door to macromolecular landscapes on implants that mimic the biologic topology and surface interaction of biologic cells. Computer sciences dream of technical cognitive systems that act and react due to knowledge-based conclusion mechanisms to a changing or adaptive environment. Different sciences start to interact and discuss the synergies when methods and paradigms from biology, computer sciences and engineering, neurosciences, psychology will be combined. They envision the era of "converging technologies" to completely change the understanding of science and postulate a new vision of humans. In this chapter, these research lines will be discussed on some examples as well as the societal implications and ethical questions that arise from these new opportunities.

Distribution Locational Real-Time Pricing Based Smart Building Control and Management

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hao, Jun; Dai, Xiaoxiao; Zhang, Yingchen

This paper proposes an real-virtual parallel computing scheme for smart building operations aiming at augmenting overall social welfare. The University of Denver's campus power grid and Ritchie fitness center is used for demonstrating the proposed approach. An artificial virtual system is built in parallel to the real physical system to evaluate the overall social cost of the building operation based on the social science based working productivity model, numerical experiment based building energy consumption model and the power system based real-time pricing mechanism. Through interactive feedback exchanged between the real and virtual system, enlarged social welfare, including monetary cost reductionmore » and energy saving, as well as working productivity improvements, can be achieved.« less

Dropping Out of Computer Science: A Phenomenological Study of Student Lived Experiences in Community College Computer Science

NASA Astrophysics Data System (ADS)

Gilbert-Valencia, Daniel H.

California community colleges contribute alarmingly few computer science degree or certificate earners. While the literature shows clear K-12 impediments to CS matriculation in higher education, very little is known about the experiences of those who overcome initial impediments to CS yet do not persist through to program completion. This phenomenological study explores insights into that specific experience by interviewing underrepresented, low income, first-generation college students who began community college intending to transfer to 4-year institutions majoring in CS but switched to another field and remain enrolled or graduated. This study explores the lived experiences of students facing barriers, their avenues for developing interest in CS, and the persistence support systems they encountered, specifically looking at how students constructed their academic choice from these experiences. The growing diversity within California's population necessitates that experiences specific to underrepresented students be considered as part of this exploration. Ten semi-structured interviews and observations were conducted, transcribed and coded. Artifacts supporting student experiences were also collected. Data was analyzed through a social-constructivist lens to provide insight into experiences and how they can be navigated to create actionable strategies for community college computer science departments wishing to increase student success. Three major themes emerged from this research: (1) students shared pre-college characteristics; (2) faced similar challenges in college CS courses; and (3) shared similar reactions to the "work" of computer science. Results of the study included (1) CS interest development hinged on computer ownership in the home; (2) participants shared characteristics that were ideal for college success but not CS success; and (3) encounters in CS departments produced unique challenges for participants. Though CS interest was and remains abundant, opportunities for learning programming skills before college were non-existent and there were few opportunities in college to build skills or establish a peer support networks. Recommendations for institutional leaders and further research are also provided.

Get immersed in the Soil Sciences: the first community of avatars in the EGU Assembly 2015!

NASA Astrophysics Data System (ADS)

Castillo, Sebastian; Alarcón, Purificación; Beato, Mamen; Emilio Guerrero, José; José Martínez, Juan; Pérez, Cristina; Ortiz, Leovigilda; Taguas, Encarnación V.

2015-04-01

Virtual reality and immersive worlds refer to artificial computer-generated environments, with which users act and interact as in a known environment by the use of figurative virtual individuals (avatars). Virtual environments will be the technology of the early twenty-first century that will most dramatically change the way we live, particularly in the areas of training and education, product development and entertainment (Schmorrow, 2009). The usefulness of immersive worlds has been proved in different fields. They reduce geographic and social barriers between different stakeholders and create virtual social spaces which can positively impact learning and discussion outcomes (Lorenzo et al. 2012). In this work we present a series of interactive meetings in a virtual building to celebrate the International Year of Soil to promote the importance of soil functions and its conservation. In a virtual room, the avatars of different senior researchers will meet young scientist avatars to talk about: 1) what remains to be done in Soil Sciences; 2) which are their main current limitations and difficulties and 3) which are the future hot research lines. The interactive participation does not require physically attend to the EGU Assembly 2015. In addition, this virtual building inspired in Soil Sciences can be completed with different teaching resources from different locations around the world and it will be used to improve the learning of Soil Sciences in a multicultural context. REFERENCES: Lorenzo C.M., Sicilia, M.A., Sánchez S. 2012. Studying the effectiveness of multi-user immersive environments for collaborative evaluation tasks. Computers & Education 59 (2012) 1361-1376 Schmorrow D.D. 2009. "Why virtual?" Theoretical Issues in Ergonomics Science 10(3): 279-282.

On the design of computer-based models for integrated environmental science.

PubMed

McIntosh, Brian S; Jeffrey, Paul; Lemon, Mark; Winder, Nick

2005-06-01

The current research agenda in environmental science is dominated by calls to integrate science and policy to better understand and manage links between social (human) and natural (nonhuman) processes. Freshwater resource management is one area where such calls can be heard. Designing computer-based models for integrated environmental science poses special challenges to the research community. At present it is not clear whether such tools, or their outputs, receive much practical policy or planning application. It is argued that this is a result of (1) a lack of appreciation within the research modeling community of the characteristics of different decision-making processes including policy, planning, and (2) participation, (3) a lack of appreciation of the characteristics of different decision-making contexts, (4) the technical difficulties in implementing the necessary support tool functionality, and (5) the socio-technical demands of designing tools to be of practical use. This article presents a critical synthesis of ideas from each of these areas and interprets them in terms of design requirements for computer-based models being developed to provide scientific information support for policy and planning. Illustrative examples are given from the field of freshwater resources management. Although computer-based diagramming and modeling tools can facilitate processes of dialogue, they lack adequate simulation capabilities. Component-based models and modeling frameworks provide such functionality and may be suited to supporting problematic or messy decision contexts. However, significant technical (implementation) and socio-technical (use) challenges need to be addressed before such ambition can be realized.

The Statistical Package for the Social Sciences (SPSS) as an adjunct to pharmacokinetic analysis.

PubMed

Mather, L E; Austin, K L

1983-01-01

Computer techniques for numerical analysis are well known to pharmacokineticists. Powerful techniques for data file management have been developed by social scientists but have, in general, been ignored by pharmacokineticists because of their apparent lack of ability to interface with pharmacokinetic programs. Extensive use has been made of the Statistical Package for the Social Sciences (SPSS) for its data handling capabilities, but at the same time, techniques have been developed within SPSS to interface with pharmacokinetic programs of the users' choice and to carry out a variety of user-defined pharmacokinetic tasks within SPSS commands, apart from the expected variety of statistical tasks. Because it is based on a ubiquitous package, this methodology has all of the benefits of excellent documentation, interchangeability between different types and sizes of machines and true portability of techniques and data files. An example is given of the total management of a pharmacokinetic study previously reported in the literature by the authors.

Complexity in Nature and Society: Complexity Management in the Age of Globalization

NASA Astrophysics Data System (ADS)

Mainzer, Klaus

The theory of nonlinear complex systems has become a proven problem-solving approach in the natural sciences from cosmic and quantum systems to cellular organisms and the brain. Even in modern engineering science self-organizing systems are developed to manage complex networks and processes. It is now recognized that many of our ecological, social, economic, and political problems are also of a global, complex, and nonlinear nature. What are the laws of sociodynamics? Is there a socio-engineering of nonlinear problem solving? What can we learn from nonlinear dynamics for complexity management in social, economic, financial and political systems? Is self-organization an acceptable strategy to handle the challenges of complexity in firms, institutions and other organizations? It is a main thesis of the talk that nature and society are basically governed by nonlinear and complex information dynamics. How computational is sociodynamics? What can we hope for social, economic and political problem solving in the age of globalization?.

Toward an Informatics Research Agenda

PubMed Central

Kaplan, Bonnie; Brennan, Patricia Flatley; Dowling, Alan F.; Friedman, Charles P.; Peel, Victor

2001-01-01

As we have advanced in medical informatics and created many impressive innovations, we also have learned that technologic developments are not sufficient to bring the value of computer and information technologies to health care systems. This paper proposes a model for improving how we develop and deploy information technology. The authors focus on trends in people, organizational, and social issues (POI/OSI), which are becoming more complex as both health care institutions and information technologies are changing rapidly. They outline key issues and suggest high-priority research areas. One dimension of the model concerns different organizational levels at which informatics applications are used. The other dimension draws on social science disciplines for their approaches to studying implications of POI/OSI in informatics. By drawing on a wide variety of research approaches and asking questions based in social science disciplines, the authors propose a research agenda for high-priority issues, so that the challenges they see ahead for informatics may be met better. PMID:11320068

The social-sensory interface: category interactions in person perception

PubMed Central

Freeman, Jonathan B.; Johnson, Kerri L.; Adams, Reginald B.; Ambady, Nalini

2012-01-01

Research is increasingly challenging the claim that distinct sources of social information—such as sex, race, and emotion—are processed in discrete fashion. Instead, there appear to be functionally relevant interactions that occur. In the present article, we describe research examining how cues conveyed by the human face, voice, and body interact to form the unified representations that guide our perceptions of and responses to other people. We explain how these information sources are often thrown into interaction through bottom-up forces (e.g., phenotypic cues) as well as top-down forces (e.g., stereotypes and prior knowledge). Such interactions point to a person perception process that is driven by an intimate interface between bottom-up perceptual and top-down social processes. Incorporating data from neuroimaging, event-related potentials (ERP), computational modeling, computer mouse-tracking, and other behavioral measures, we discuss the structure of this interface, and we consider its implications and adaptive purposes. We argue that an increased understanding of person perception will likely require a synthesis of insights and techniques, from social psychology to the cognitive, neural, and vision sciences. PMID:23087622

Virtualization in education: Information Security lab in your hands

NASA Astrophysics Data System (ADS)

Karlov, A. A.

2016-09-01

The growing demand for qualified specialists in advanced information technologies poses serious challenges to the education and training of young personnel for science, industry and social problems. Virtualization as a way to isolate the user from the physical characteristics of computing resources (processors, servers, operating systems, networks, applications, etc.), has, in particular, an enormous influence in the field of education, increasing its efficiency, reducing the cost, making it more widely and readily available. The study of Information Security of computer systems is considered as an example of use of virtualization in education.

Algorithmic psychometrics and the scalable subject.

PubMed

Stark, Luke

2018-04-01

Recent public controversies, ranging from the 2014 Facebook 'emotional contagion' study to psychographic data profiling by Cambridge Analytica in the 2016 American presidential election, Brexit referendum and elsewhere, signal watershed moments in which the intersecting trajectories of psychology and computer science have become matters of public concern. The entangled history of these two fields grounds the application of applied psychological techniques to digital technologies, and an investment in applying calculability to human subjectivity. Today, a quantifiable psychological subject position has been translated, via 'big data' sets and algorithmic analysis, into a model subject amenable to classification through digital media platforms. I term this position the 'scalable subject', arguing it has been shaped and made legible by algorithmic psychometrics - a broad set of affordances in digital platforms shaped by psychology and the behavioral sciences. In describing the contours of this 'scalable subject', this paper highlights the urgent need for renewed attention from STS scholars on the psy sciences, and on a computational politics attentive to psychology, emotional expression, and sociality via digital media.

Unperturbed Schelling Segregation in Two or Three Dimensions

NASA Astrophysics Data System (ADS)

Barmpalias, George; Elwes, Richard; Lewis-Pye, Andrew

2016-09-01

Schelling's models of segregation, first described in 1969 (Am Econ Rev 59:488-493, 1969) are among the best known models of self-organising behaviour. Their original purpose was to identify mechanisms of urban racial segregation. But his models form part of a family which arises in statistical mechanics, neural networks, social science, and beyond, where populations of agents interact on networks. Despite extensive study, unperturbed Schelling models have largely resisted rigorous analysis, prior results generally focusing on variants in which noise is introduced into the dynamics, the resulting system being amenable to standard techniques from statistical mechanics or stochastic evolutionary game theory (Young in Individual strategy and social structure: an evolutionary theory of institutions, Princeton University Press, Princeton, 1998). A series of recent papers (Brandt et al. in: Proceedings of the 44th annual ACM symposium on theory of computing (STOC 2012), 2012); Barmpalias et al. in: 55th annual IEEE symposium on foundations of computer science, Philadelphia, 2014, J Stat Phys 158:806-852, 2015), has seen the first rigorous analyses of 1-dimensional unperturbed Schelling models, in an asymptotic framework largely unknown in statistical mechanics. Here we provide the first such analysis of 2- and 3-dimensional unperturbed models, establishing most of the phase diagram, and answering a challenge from Brandt et al. in: Proceedings of the 44th annual ACM symposium on theory of computing (STOC 2012), 2012).

Developmental Changes in Learning: Computational Mechanisms and Social Influences

PubMed Central

Bolenz, Florian; Reiter, Andrea M. F.; Eppinger, Ben

2017-01-01

Our ability to learn from the outcomes of our actions and to adapt our decisions accordingly changes over the course of the human lifespan. In recent years, there has been an increasing interest in using computational models to understand developmental changes in learning and decision-making. Moreover, extensions of these models are currently applied to study socio-emotional influences on learning in different age groups, a topic that is of great relevance for applications in education and health psychology. In this article, we aim to provide an introduction to basic ideas underlying computational models of reinforcement learning and focus on parameters and model variants that might be of interest to developmental scientists. We then highlight recent attempts to use reinforcement learning models to study the influence of social information on learning across development. The aim of this review is to illustrate how computational models can be applied in developmental science, what they can add to our understanding of developmental mechanisms and how they can be used to bridge the gap between psychological and neurobiological theories of development. PMID:29250006

Mainstreaming the social sciences in conservation.

PubMed

Bennett, Nathan J; Roth, Robin; Klain, Sarah C; Chan, Kai M A; Clark, Douglas A; Cullman, Georgina; Epstein, Graham; Nelson, Michael Paul; Stedman, Richard; Teel, Tara L; Thomas, Rebecca E W; Wyborn, Carina; Curran, Deborah; Greenberg, Alison; Sandlos, John; Veríssimo, Diogo

2017-02-01

Despite broad recognition of the value of social sciences and increasingly vocal calls for better engagement with the human element of conservation, the conservation social sciences remain misunderstood and underutilized in practice. The conservation social sciences can provide unique and important contributions to society's understanding of the relationships between humans and nature and to improving conservation practice and outcomes. There are 4 barriers-ideological, institutional, knowledge, and capacity-to meaningful integration of the social sciences into conservation. We provide practical guidance on overcoming these barriers to mainstream the social sciences in conservation science, practice, and policy. Broadly, we recommend fostering knowledge on the scope and contributions of the social sciences to conservation, including social scientists from the inception of interdisciplinary research projects, incorporating social science research and insights during all stages of conservation planning and implementation, building social science capacity at all scales in conservation organizations and agencies, and promoting engagement with the social sciences in and through global conservation policy-influencing organizations. Conservation social scientists, too, need to be willing to engage with natural science knowledge and to communicate insights and recommendations clearly. We urge the conservation community to move beyond superficial engagement with the conservation social sciences. A more inclusive and integrative conservation science-one that includes the natural and social sciences-will enable more ecologically effective and socially just conservation. Better collaboration among social scientists, natural scientists, practitioners, and policy makers will facilitate a renewed and more robust conservation. Mainstreaming the conservation social sciences will facilitate the uptake of the full range of insights and contributions from these fields into conservation policy and practice. © 2016 The Authors. Conservation Biology published by Wiley Periodicals, Inc. on behalf of Society for Conservation Biology.

Quantum-like Probabilistic Models Outside Physics

NASA Astrophysics Data System (ADS)

Khrennikov, Andrei

We present a quantum-like (QL) model in that contexts (complexes of e.g. mental, social, biological, economic or even political conditions) are represented by complex probability amplitudes. This approach gives the possibility to apply the mathematical quantum formalism to probabilities induced in any domain of science. In our model quantum randomness appears not as irreducible randomness (as it is commonly accepted in conventional quantum mechanics, e.g. by von Neumann and Dirac), but as a consequence of obtaining incomplete information about a system. We pay main attention to the QL description of processing of incomplete information. Our QL model can be useful in cognitive, social and political sciences as well as economics and artificial intelligence. In this paper we consider in a more detail one special application — QL modeling of brain's functioning. The brain is modeled as a QL-computer.

Political science. Reverse-engineering censorship in China: randomized experimentation and participant observation.

PubMed

King, Gary; Pan, Jennifer; Roberts, Margaret E

2014-08-22

Existing research on the extensive Chinese censorship organization uses observational methods with well-known limitations. We conducted the first large-scale experimental study of censorship by creating accounts on numerous social media sites, randomly submitting different texts, and observing from a worldwide network of computers which texts were censored and which were not. We also supplemented interviews with confidential sources by creating our own social media site, contracting with Chinese firms to install the same censoring technologies as existing sites, and--with their software, documentation, and even customer support--reverse-engineering how it all works. Our results offer rigorous support for the recent hypothesis that criticisms of the state, its leaders, and their policies are published, whereas posts about real-world events with collective action potential are censored. Copyright © 2014, American Association for the Advancement of Science.

Gender differences in math and science choices and preferences

NASA Astrophysics Data System (ADS)

Alkhadrawi, Amamah A.

The purpose of this dissertation is to discover how the myth of gender differences in STEM inform the lived experiences of male and female 12th graders in one high school in Northwest Ohio. Over the years, the observed gender gap favoring males over females in STEM ability has closed, and female students have even surpassed males in some measures. The fact that girls have met and exceeded boys in many measures of STEM ability over time suggests that the historical disparity was the result of social or psychological, and not biological, differences. Even though schools have changed throughout the years to accommodate and encourage female students in STEM, there is still a persistent disparity in participation at the highest levels of STEM in education and in careers. Males still outnumber females in the more mathematical and technical sciences, such as computer science and engineering. This study applied feminist socialization theory and phenomenology as its theoretical framework. The biggest themes that informed student"s choices and preferences were as follows: intended choices follow family influence, myth persists in subtle ways, teenagers have a limited future view, and the chicken and the egg issues of personal interests versus social influence. There are clearly more factors that contribute to this gender socialization, which may be a combination of socioeconomic status and the influence of family.

An Approach for the Accurate Measurement of Social Morality Levels

PubMed Central

Liu, Haiyan; Chen, Xia; Zhang, Bo

2013-01-01

In the social sciences, computer-based modeling has become an increasingly important tool receiving widespread attention. However, the derivation of the quantitative relationships linking individual moral behavior and social morality levels, so as to provide a useful basis for social policy-making, remains a challenge in the scholarly literature today. A quantitative measurement of morality from the perspective of complexity science constitutes an innovative attempt. Based on the NetLogo platform, this article examines the effect of various factors on social morality levels, using agents modeling moral behavior, immoral behavior, and a range of environmental social resources. Threshold values for the various parameters are obtained through sensitivity analysis; and practical solutions are proposed for reversing declines in social morality levels. The results show that: (1) Population size may accelerate or impede the speed with which immoral behavior comes to determine the overall level of social morality, but it has no effect on the level of social morality itself; (2) The impact of rewards and punishment on social morality levels follows the “5∶1 rewards-to-punishment rule,” which is to say that 5 units of rewards have the same effect as 1 unit of punishment; (3) The abundance of public resources is inversely related to the level of social morality; (4) When the cost of population mobility reaches 10% of the total energy level, immoral behavior begins to be suppressed (i.e. the 1/10 moral cost rule). The research approach and methods presented in this paper successfully address the difficulties involved in measuring social morality levels, and promise extensive application potentials. PMID:24312189

An approach for the accurate measurement of social morality levels.

PubMed

Liu, Haiyan; Chen, Xia; Zhang, Bo

2013-01-01

In the social sciences, computer-based modeling has become an increasingly important tool receiving widespread attention. However, the derivation of the quantitative relationships linking individual moral behavior and social morality levels, so as to provide a useful basis for social policy-making, remains a challenge in the scholarly literature today. A quantitative measurement of morality from the perspective of complexity science constitutes an innovative attempt. Based on the NetLogo platform, this article examines the effect of various factors on social morality levels, using agents modeling moral behavior, immoral behavior, and a range of environmental social resources. Threshold values for the various parameters are obtained through sensitivity analysis; and practical solutions are proposed for reversing declines in social morality levels. The results show that: (1) Population size may accelerate or impede the speed with which immoral behavior comes to determine the overall level of social morality, but it has no effect on the level of social morality itself; (2) The impact of rewards and punishment on social morality levels follows the "5∶1 rewards-to-punishment rule," which is to say that 5 units of rewards have the same effect as 1 unit of punishment; (3) The abundance of public resources is inversely related to the level of social morality; (4) When the cost of population mobility reaches 10% of the total energy level, immoral behavior begins to be suppressed (i.e. the 1/10 moral cost rule). The research approach and methods presented in this paper successfully address the difficulties involved in measuring social morality levels, and promise extensive application potentials.

International Symposium on Grids and Clouds (ISGC) 2014

NASA Astrophysics Data System (ADS)

The International Symposium on Grids and Clouds (ISGC) 2014 will be held at Academia Sinica in Taipei, Taiwan from 23-28 March 2014, with co-located events and workshops. The conference is hosted by the Academia Sinica Grid Computing Centre (ASGC).“Bringing the data scientist to global e-Infrastructures” is the theme of ISGC 2014. The last decade has seen the phenomenal growth in the production of data in all forms by all research communities to produce a deluge of data from which information and knowledge need to be extracted. Key to this success will be the data scientist - educated to use advanced algorithms, applications and infrastructures - collaborating internationally to tackle society’s challenges. ISGC 2014 will bring together researchers working in all aspects of data science from different disciplines around the world to collaborate and educate themselves in the latest achievements and techniques being used to tackle the data deluge. In addition to the regular workshops, technical presentations and plenary keynotes, ISGC this year will focus on how to grow the data science community by considering the educational foundation needed for tomorrow’s data scientist. Topics of discussion include Physics (including HEP) and Engineering Applications, Biomedicine & Life Sciences Applications, Earth & Environmental Sciences & Biodiversity Applications, Humanities & Social Sciences Application, Virtual Research Environment (including Middleware, tools, services, workflow, ... etc.), Data Management, Big Data, Infrastructure & Operations Management, Infrastructure Clouds and Virtualisation, Interoperability, Business Models & Sustainability, Highly Distributed Computing Systems, and High Performance & Technical Computing (HPTC).

Not Scotch, but Rum: The Scope and Diffusion of the Scottish Presence in the Published Record

ERIC Educational Resources Information Center

Lavoie, Brian

2013-01-01

Big data sets and powerful computing capacity have transformed scholarly inquiry across many disciplines. While the impact of data-intensive research methodologies is perhaps most distinct in the natural and social sciences, the humanities have also benefited from these new analytical tools. While full-text data is necessary to study topics such…

Accessing Individual Records from Personal Data Files Using Non-Unique Identifiers. Final Report. Computer Science & Technology Series.

ERIC Educational Resources Information Center

Moore, Gwendolyn B.; And Others

The Privacy Act of 1974 places restrictions on the Federal, state and local agencies' use of the Social Security account number as an identifier. For some agencies, compliance will involve changes in implementation of retrieval algorithms. This report describes methodology applicable to these changes in the more general context of the problem of…

Using Computers in Educational and Psychological Research: Using Information Technolgies to Support the Research Process

ERIC Educational Resources Information Center

Willis, Jerry; Kim, Seung H.

2006-01-01

This book has been designed to assist researchers in the social sciences and education fields who are interested in learning how information technologies can help them successfully navigate the research process. Most researchers are familiar with the use of programs like SPSS to analyze data, but many are not aware of other ways information…

Research and Trends in the Field of E-Learning from 2001 to 2005: A Content Analysis of Cognitive Studies in Selected Journals

ERIC Educational Resources Information Center

Shih, M.; Feng, J.; Tsai, C. C.

2008-01-01

This paper provided a content analysis of studies in the field of cognition in e-learning that were published in five Social Sciences Citation Index (SSCI) journals (i.e. Computers and Education, British Journal of Educational Technology, Innovations in Education and Teaching International, Educational Technology Research & Development, and…

Access and Success for African American Engineers and Computer Scientists: A Case Study of Two Predominantly White Public Research Universities

ERIC Educational Resources Information Center

Newman, Christopher Bufford

2011-01-01

Over the past decade, three rationales have emerged for emphasizing the reinforcement of the United States' science, technology, engineering, and mathematics (STEM) pipeline. The first rationale pertains to U.S. global competitiveness, the second revolves around the benefits of a diverse workforce, and the third argument points to social justice…

Supporting Regularized Logistic Regression Privately and Efficiently.

PubMed

Li, Wenfa; Liu, Hongzhe; Yang, Peng; Xie, Wei

2016-01-01

As one of the most popular statistical and machine learning models, logistic regression with regularization has found wide adoption in biomedicine, social sciences, information technology, and so on. These domains often involve data of human subjects that are contingent upon strict privacy regulations. Concerns over data privacy make it increasingly difficult to coordinate and conduct large-scale collaborative studies, which typically rely on cross-institution data sharing and joint analysis. Our work here focuses on safeguarding regularized logistic regression, a widely-used statistical model while at the same time has not been investigated from a data security and privacy perspective. We consider a common use scenario of multi-institution collaborative studies, such as in the form of research consortia or networks as widely seen in genetics, epidemiology, social sciences, etc. To make our privacy-enhancing solution practical, we demonstrate a non-conventional and computationally efficient method leveraging distributing computing and strong cryptography to provide comprehensive protection over individual-level and summary data. Extensive empirical evaluations on several studies validate the privacy guarantee, efficiency and scalability of our proposal. We also discuss the practical implications of our solution for large-scale studies and applications from various disciplines, including genetic and biomedical studies, smart grid, network analysis, etc.

Supporting Regularized Logistic Regression Privately and Efficiently

PubMed Central

Li, Wenfa; Liu, Hongzhe; Yang, Peng; Xie, Wei

2016-01-01

As one of the most popular statistical and machine learning models, logistic regression with regularization has found wide adoption in biomedicine, social sciences, information technology, and so on. These domains often involve data of human subjects that are contingent upon strict privacy regulations. Concerns over data privacy make it increasingly difficult to coordinate and conduct large-scale collaborative studies, which typically rely on cross-institution data sharing and joint analysis. Our work here focuses on safeguarding regularized logistic regression, a widely-used statistical model while at the same time has not been investigated from a data security and privacy perspective. We consider a common use scenario of multi-institution collaborative studies, such as in the form of research consortia or networks as widely seen in genetics, epidemiology, social sciences, etc. To make our privacy-enhancing solution practical, we demonstrate a non-conventional and computationally efficient method leveraging distributing computing and strong cryptography to provide comprehensive protection over individual-level and summary data. Extensive empirical evaluations on several studies validate the privacy guarantee, efficiency and scalability of our proposal. We also discuss the practical implications of our solution for large-scale studies and applications from various disciplines, including genetic and biomedical studies, smart grid, network analysis, etc. PMID:27271738

Greek Students' Science-related Interests and Experiences: Gender differences and correlations

NASA Astrophysics Data System (ADS)

Christidou, Vasilia

2006-08-01

This paper explores the science-related interests and out-of-school experiences of 583 ninth-grade Greek students. The instrument of data collection consisted of a questionnaire including items on science-related topics that could be of interest to students and on everyday, out-of-school, science-related experiences. Factor analysis yielded six distinct fields of interest and five types of science-related experiences. Significant gender differences emerge: girls are more interested in topics related to human biology, health, and fitness, and are more familiar with using instruments and devices, seeking information about nature, and doing cuisine and handicraft; while boys are more interested in science, technology, and their social dimension, and the threatening aspects of science and technology, and tend to engage more in manual work and computer use. The results of this study indicate that there is a need for the Greek science curriculum to become more appealing to students, by integrating topics and experiences that are interesting and relevant to them.

Social Media as a New Vital Sign: Commentary.

PubMed

Young, Sean D

2018-04-30

Mobile technologies, such as wireless glucometers and mobile health apps, are increasingly being integrated into health and medical care. Because patients openly share real-time information about their health behaviors and outcomes on social media, social media data may also be used as a tool for monitoring patient care. This commentary describes how recent advances in computer science, psychology, and medicine enable social media data to become a new health "vital sign," as well as actionable steps that public health officials, health systems, and clinics can take to integrate social data into both public and population health as well as into individual patient care. Barriers that first need to be addressed, including privacy concerns, legal and ethical responsibilities, and infrastructure support, are discussed. ©Sean D Young. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 30.04.2018.

Research on application of intelligent computation based LUCC model in urbanization process

NASA Astrophysics Data System (ADS)

Chen, Zemin

2007-06-01

Global change study is an interdisciplinary and comprehensive research activity with international cooperation, arising in 1980s, with the largest scopes. The interaction between land use and cover change, as a research field with the crossing of natural science and social science, has become one of core subjects of global change study as well as the front edge and hot point of it. It is necessary to develop research on land use and cover change in urbanization process and build an analog model of urbanization to carry out description, simulation and analysis on dynamic behaviors in urban development change as well as to understand basic characteristics and rules of urbanization process. This has positive practical and theoretical significance for formulating urban and regional sustainable development strategy. The effect of urbanization on land use and cover change is mainly embodied in the change of quantity structure and space structure of urban space, and LUCC model in urbanization process has been an important research subject of urban geography and urban planning. In this paper, based upon previous research achievements, the writer systematically analyzes the research on land use/cover change in urbanization process with the theories of complexity science research and intelligent computation; builds a model for simulating and forecasting dynamic evolution of urban land use and cover change, on the basis of cellular automation model of complexity science research method and multi-agent theory; expands Markov model, traditional CA model and Agent model, introduces complexity science research theory and intelligent computation theory into LUCC research model to build intelligent computation-based LUCC model for analog research on land use and cover change in urbanization research, and performs case research. The concrete contents are as follows: 1. Complexity of LUCC research in urbanization process. Analyze urbanization process in combination with the contents of complexity science research and the conception of complexity feature to reveal the complexity features of LUCC research in urbanization process. Urban space system is a complex economic and cultural phenomenon as well as a social process, is the comprehensive characterization of urban society, economy and culture, and is a complex space system formed by society, economy and nature. It has dissipative structure characteristics, such as opening, dynamics, self-organization, non-balance etc. Traditional model cannot simulate these social, economic and natural driving forces of LUCC including main feedback relation from LUCC to driving force. 2. Establishment of Markov extended model of LUCC analog research in urbanization process. Firstly, use traditional LUCC research model to compute change speed of regional land use through calculating dynamic degree, exploitation degree and consumption degree of land use; use the theory of fuzzy set to rewrite the traditional Markov model, establish structure transfer matrix of land use, forecast and analyze dynamic change and development trend of land use, and present noticeable problems and corresponding measures in urbanization process according to research results. 3. Application of intelligent computation research and complexity science research method in LUCC analog model in urbanization process. On the basis of detailed elaboration of the theory and the model of LUCC research in urbanization process, analyze the problems of existing model used in LUCC research (namely, difficult to resolve many complexity phenomena in complex urban space system), discuss possible structure realization forms of LUCC analog research in combination with the theories of intelligent computation and complexity science research. Perform application analysis on BP artificial neural network and genetic algorithms of intelligent computation and CA model and MAS technology of complexity science research, discuss their theoretical origins and their own characteristics in detail, elaborate the feasibility of them in LUCC analog research, and bring forward improvement methods and measures on existing problems of this kind of model. 4. Establishment of LUCC analog model in urbanization process based on theories of intelligent computation and complexity science. Based on the research on abovementioned BP artificial neural network, genetic algorithms, CA model and multi-agent technology, put forward improvement methods and application assumption towards their expansion on geography, build LUCC analog model in urbanization process based on CA model and Agent model, realize the combination of learning mechanism of BP artificial neural network and fuzzy logic reasoning, express the regulation with explicit formula, and amend the initial regulation through self study; optimize network structure of LUCC analog model and methods and procedures of model parameters with genetic algorithms. In this paper, I introduce research theory and methods of complexity science into LUCC analog research and presents LUCC analog model based upon CA model and MAS theory. Meanwhile, I carry out corresponding expansion on traditional Markov model and introduce the theory of fuzzy set into data screening and parameter amendment of improved model to improve the accuracy and feasibility of Markov model in the research on land use/cover change.

On the almost inconceivable misunderstandings concerning the subject of value-free social science.

PubMed

Black, Donald

2013-12-01

A value judgment says what is good or bad, and value-free social science simply means social science free of value judgments. Yet many sociologists regard value-free social science as undesirable or impossible and readily make value judgments in the name of sociology. Often they display confusion about such matters as the meaning of value-free social science, value judgments internal and external to social science, value judgments as a subject of social science, the relevance of objectivity for value-free social science, and the difference between the human significance of social science and value-free social science. But why so many sociologists are so value-involved - and generally so unscientific - is sociologically understandable: The closest and most distant subjects attract the least scientific ideas. And during the past century sociologists have become increasingly close to their human subject. The debate about value-free social science is also part of an epistemological counterrevolution of humanists (including many sociologists) against the more scientific social scientists who invaded and threatened to expropriate the human subject during the past century. © London School of Economics and Political Science 2013.

Science at the interstices: an evolution in the academy.

PubMed

Balser, Jeffrey R; Baruchin, Andrea

2008-09-01

Biomedical science is at an evolutionary turning point. Many of the rate-limiting steps to realizing the next generation of personalized, highly targeted diagnostics and therapeutics rest at the interstices between biomedical science and the classic, university-based disciplines, such as physics, mathematics, computational science, engineering, social sciences, business, and law. Institutes, centers, or other entities created to foster interdisciplinary science are rapidly forming to tackle these formidable challenges, but they are plagued with substantive barriers, born of traditions, processes, and culture, which impede scientific progress and endanger success. Without a more seamless interdisciplinary framework, academic health centers will struggle to move transformative advances in technology into the foundation of biomedical science, and the equally challenging advancement of models that effectively integrate new molecular diagnostics and therapies into the business and social fabric of our population will be similarly hampered. At the same time, excess attention on rankings tied to competition for National Institutes of Health and other federal funds adversely encourages academic medical centers (AMCs) and universities to hoard, rather than share, resources effectively and efficiently. To fully realize their discovery potential, AMCs must consider a substantive realignment relative to one another, as well as with their associated universities, as the academy looks toward innovative approaches to provide a more supportive foundation for the emergent biomedical research enterprise. The authors discuss potential models that could serve to lower barriers to interdisciplinary science, promoting a new synergy between AMCs and their parent universities.

Big Data & Datamining: Using APIs to computationally determine who follows space science, & what do they care about?

NASA Astrophysics Data System (ADS)

Gay, Pamela L.; Bakerman, Maya; Graziano, Nancy; Murph, Susan; Reiheld, Alison; CosmoQuest

2017-10-01

In today's connected world, scientists & space science projects are turning to social media outlets like Twitter to share our achievements, request aid, & discuss the issues of our profession. Maintaining these disparate feeds requires time & resources that are already in short supply. To justify these efforts, we must examine the data to determine: are we speaking to our intended audiences; are our varied efforts needed; & what types of messages achieve the greatest interactions. The software used to support this project is available on GitHub.Previously, it has been unclear if our day-to-day social media efforts have been merely preaching to one homogeneous choir from which we have all drawn our audiences, or if our individual efforts have been able to reach into different communities to multiply our impact. In this preliminary study, we examine the social media audiences of several space science Twitter feeds that relate to: podcasting; professional societies; individual programs; & individuals. This study directly measures the overlap in audiences & the diversity of interests held by these audiences. Through statistical analysis, we can discern if these audiences are all drawn from one single population, or if we are sampling different base populations with different feeds.The data generated in this project allow us to look beyond how our audiences interact with space science, with the added benefit of revealing their other interests. These interests are reflected by the non-space science accounts they follow on Twitter. This information will allow us to effectively recruit new people from space science adjacent interests.After applying large data analytics & statistics to social media interactions, we can model online communications, audience population types, & the causal relationships between how we tweet &how our audiences interact. With this knowledge, we are then able to institute reliable communications & effective interactions with our target audience.This work is supported through NASA cooperative agreement NNX17AD20A.

Know Your Discipline: Teaching the Philosophy of Computer Science

ERIC Educational Resources Information Center

Tedre, Matti

2007-01-01

The diversity and interdisciplinarity of computer science and the multiplicity of its uses in other sciences make it hard to define computer science and to prescribe how computer science should be carried out. The diversity of computer science also causes friction between computer scientists from different branches. Computer science curricula, as…

Who uses NASA Earth Science Data? Connecting with Users through the Earthdata website and Social Media

NASA Astrophysics Data System (ADS)

Wong, M. M.; Brennan, J.; Bagwell, R.; Behnke, J.

2015-12-01

This poster will introduce and explore the various social media efforts, monthly webinar series and a redesigned website (https://earthdata.nasa.gov) established by National Aeronautics and Space Administration's (NASA) Earth Observing System Data and Information System (EOSDIS) project. EOSDIS is a key core capability in NASA's Earth Science Data Systems Program. It provides end-to-end capabilities for managing NASA's Earth science data from various sources - satellites, aircraft, field measurements, and various other programs. It is comprised of twelve Distributed Active Archive Centers (DAACs), Science Computing Facilities (SCFs), data discovery and service access client (Reverb and Earthdata Search), dataset directory (Global Change Master Directory - GCMD), near real-time data (Land Atmosphere Near real-time Capability for EOS - LANCE), Worldview (an imagery visualization interface), Global Imagery Browse Services, the Earthdata Code Collaborative and a host of other discipline specific data discovery, data access, data subsetting and visualization tools. We have embarked on these efforts to reach out to new audiences and potential new users and to engage our diverse end user communities world-wide. One of the key objectives is to increase awareness of the breadth of Earth science data information, services, and tools that are publicly available while also highlighting how these data and technologies enable scientific research.

FuturICT: Participatory computing to understand and manage our complex world in a more sustainable and resilient way

NASA Astrophysics Data System (ADS)

Helbing, D.; Bishop, S.; Conte, R.; Lukowicz, P.; McCarthy, J. B.

2012-11-01

We have built particle accelerators to understand the forces that make up our physical world. Yet, we do not understand the principles underlying our strongly connected, techno-socio-economic systems. We have enabled ubiquitous Internet connectivity and instant, global information access. Yet we do not understand how it impacts our behavior and the evolution of society. To fill the knowledge gaps and keep up with the fast pace at which our world is changing, a Knowledge Accelerator must urgently be created. The financial crisis, international wars, global terror, the spreading of diseases and cyber-crime as well as demographic, technological and environmental change demonstrate that humanity is facing serious challenges. These problems cannot be solved within the traditional paradigms. Moving our attention from a component-oriented view of the world to an interaction-oriented view will allow us to understand the complex systems we have created and the emergent collective phenomena characterising them. This paradigm shift will enable new solutions to long-standing problems, very much as the shift from a geocentric to a heliocentric worldview has facilitated modern physics and the ability to launch satellites. The FuturICT flagship project will develop new science and technology to manage our future in a complex, strongly connected world. For this, it will combine the power of information and communication technology (ICT) with knowledge from the social and complexity sciences. ICT will provide the data to boost the social sciences into a new era. Complexity science will shed new light on the emergent phenomena in socially interactive systems, and the social sciences will provide a better understanding of the opportunities and risks of strongly networked systems, in particular future ICT systems. Hence, the envisaged FuturICT flagship will create new methods and instruments to tackle the challenges of the 21st century. FuturICT could indeed become one of the most important scientific endeavours ever, by revealing the principles that make socially interactive systems work well, by inspiring the creation of new platforms to explore our possible futures, and by initiating an era of social and socio-inspired innovations.

Research methods from social science can contribute much to the health sciences.

PubMed

Wensing, Michel

2008-06-01

Research methods from social science, such as social network analysis, random coefficient modeling, and advanced measurement techniques, can contribute much to the health sciences. There is, however, a slow rate of transmission of social science methodology into the health sciences. This paper identifies some of the barriers for adoption and proposes ideas for the future. Commentary. Contributions of social science to the health sciences are not always recognized as such. It may help if the professional profile of social science in the health sciences would be higher and if its focus would be more on making useful predictions. Clinical epidemiologists may assume that their discipline includes all relevant methods and that social science is largely based on qualitative research. These perceptions need to be challenged in order to widen the scope of clinical epidemiology and include relevant methods from other sciences. New methods help to ask new research questions and to provide better to old questions. This paper has sketched challenges for both social science researchers and clinical epidemiologists.

Putting the Social Sciences into Science Communication Courses.

ERIC Educational Resources Information Center

Stocking, S. Holly

Although the social sciences have become legitimate sources of science news, many journalism instructors of science communication do not believe the social sciences warrant special or required attention in their courses. This is unfortunate, for the social sciences are important enough and different enough to require both their inclusion and…

[Social Sciences and Humanities in Health in ABRASCO: the construction of social theory in health.

PubMed

Ianni, Aurea Maria Zöllner; Spadacio, Cristiane; Barboza, Renato; Alves, Olga Sofia Fabergé; Viana, Sabrina Daniela Lopes; Rocha, Ane Talita

2014-11-01

The development of recent social thinking in health in Brazil is associated with the establishment of the Public Health field and the Brazilian Association of Graduate Studies in Public Health (ABRASCO). The area of Social Sciences in Health was created together with the founding of ABRASCO. This article presents the main aspects related to the establishment and institutionalization of Social Sciences in Health in ABRASCO, based on interviews with its presidents and the coordinators of the Social Sciences Committees from 1995 to 2011. The interviews allowed capturing and analyzing the context in which this field was established and its relevance and history in Public Health as a whole, grouped in five analytical categories: (1) the development of Social Sciences and the Humanities in Health; (2) interdisciplinarity in Public Health; (3) the contribution of Social Sciences to Public Health; (4) Social Sciences in Health and the "traditional" Social Sciences; and (5) challenges for Social Sciences and the Humanities in Health.

The Human Face as a Dynamic Tool for Social Communication.

PubMed

Jack, Rachael E; Schyns, Philippe G

2015-07-20

As a highly social species, humans frequently exchange social information to support almost all facets of life. One of the richest and most powerful tools in social communication is the face, from which observers can quickly and easily make a number of inferences - about identity, gender, sex, age, race, ethnicity, sexual orientation, physical health, attractiveness, emotional state, personality traits, pain or physical pleasure, deception, and even social status. With the advent of the digital economy, increasing globalization and cultural integration, understanding precisely which face information supports social communication and which produces misunderstanding is central to the evolving needs of modern society (for example, in the design of socially interactive digital avatars and companion robots). Doing so is challenging, however, because the face can be thought of as comprising a high-dimensional, dynamic information space, and this impacts cognitive science and neuroimaging, and their broader applications in the digital economy. New opportunities to address this challenge are arising from the development of new methods and technologies, coupled with the emergence of a modern scientific culture that embraces cross-disciplinary approaches. Here, we briefly review one such approach that combines state-of-the-art computer graphics, psychophysics and vision science, cultural psychology and social cognition, and highlight the main knowledge advances it has generated. In the light of current developments, we provide a vision of the future directions in the field of human facial communication within and across cultures. Copyright © 2015 Elsevier Ltd. All rights reserved.

The Number of Scholarly Documents on the Public Web

PubMed Central

Khabsa, Madian; Giles, C. Lee

2014-01-01

The number of scholarly documents available on the web is estimated using capture/recapture methods by studying the coverage of two major academic search engines: Google Scholar and Microsoft Academic Search. Our estimates show that at least 114 million English-language scholarly documents are accessible on the web, of which Google Scholar has nearly 100 million. Of these, we estimate that at least 27 million (24%) are freely available since they do not require a subscription or payment of any kind. In addition, at a finer scale, we also estimate the number of scholarly documents on the web for fifteen fields: Agricultural Science, Arts and Humanities, Biology, Chemistry, Computer Science, Economics and Business, Engineering, Environmental Sciences, Geosciences, Material Science, Mathematics, Medicine, Physics, Social Sciences, and Multidisciplinary, as defined by Microsoft Academic Search. In addition, we show that among these fields the percentage of documents defined as freely available varies significantly, i.e., from 12 to 50%. PMID:24817403

The number of scholarly documents on the public web.

PubMed

Khabsa, Madian; Giles, C Lee

2014-01-01

The number of scholarly documents available on the web is estimated using capture/recapture methods by studying the coverage of two major academic search engines: Google Scholar and Microsoft Academic Search. Our estimates show that at least 114 million English-language scholarly documents are accessible on the web, of which Google Scholar has nearly 100 million. Of these, we estimate that at least 27 million (24%) are freely available since they do not require a subscription or payment of any kind. In addition, at a finer scale, we also estimate the number of scholarly documents on the web for fifteen fields: Agricultural Science, Arts and Humanities, Biology, Chemistry, Computer Science, Economics and Business, Engineering, Environmental Sciences, Geosciences, Material Science, Mathematics, Medicine, Physics, Social Sciences, and Multidisciplinary, as defined by Microsoft Academic Search. In addition, we show that among these fields the percentage of documents defined as freely available varies significantly, i.e., from 12 to 50%.

Social Science Collaboration with Environmental Health.

PubMed

Hoover, Elizabeth; Renauld, Mia; Edelstein, Michael R; Brown, Phil

2015-11-01

Social science research has been central in documenting and analyzing community discovery of environmental exposure and consequential processes. Collaboration with environmental health science through team projects has advanced and improved our understanding of environmental health and justice. We sought to identify diverse methods and topics in which social scientists have expanded environmental health understandings at multiple levels, to examine how transdisciplinary environmental health research fosters better science, and to learn how these partnerships have been able to flourish because of the support from National Institute of Environmental Health Sciences (NIEHS). We analyzed various types of social science research to investigate how social science contributes to environmental health. We also examined NIEHS programs that foster social science. In addition, we developed a case study of a community-based participation research project in Akwesasne in order to demonstrate how social science has enhanced environmental health science. Social science has informed environmental health science through ethnographic studies of contaminated communities, analysis of spatial distribution of environmental injustice, psychological experience of contamination, social construction of risk and risk perception, and social impacts of disasters. Social science-environmental health team science has altered the way scientists traditionally explore exposure by pressing for cumulative exposure approaches and providing research data for policy applications. A transdisciplinary approach for environmental health practice has emerged that engages the social sciences to paint a full picture of the consequences of contamination so that policy makers, regulators, public health officials, and other stakeholders can better ameliorate impacts and prevent future exposure. Hoover E, Renauld M, Edelstein MR, Brown P. 2015. Social science collaboration with environmental health. Environ Health Perspect 123:1100-1106; http://dx.doi.org/10.1289/ehp.1409283.

The HSP, the QCN, and the Dragon: Developing inquiry-based QCN instructional modules in Taiwan

NASA Astrophysics Data System (ADS)

Chen, K. H.; Liang, W.; Chang, C.; Yen, E.; Lin, C.; Lin, G.

2012-12-01

High Scope Program (HSP) is a long-term project funded by NSC in Taiwan since 2006. It is designed to elevate the quality of science education by means of incorporating emerging science and technology into the traditional curricula in senior high schools. Quake-Catcher Network (QCN), a distributed computing project initiated by Stanford University and UC Riverside, encourages the volunteers to install the low-cost, novel sensors at home and school to build a seismic network. To meet both needs, we have developed a model curriculum that introduces QCN, earthquake science, and cloud computing into high school classrooms. Through professional development workshops, Taiwan cloud-based earthquake science learning platform, and QCN club on Facebook, we have worked closely with Lan-Yang Girl's Senior High School teachers' team to design workable teaching plans through a practical operation of seismic monitoring at home or school. However, some obstacles to learning appear including QCN installation/maintain problems, high self-noise of the sensor, difficulty of introducing earthquake sciences for high school teachers. The challenges of QCN outreach in Taiwan bring out our future plans: (1) development of easy, frequently updated, physics-based QCN-experiments for high school teachers, and (2) design of an interactive learning platform with social networking function for students.

Implications of the Integration of Computing Methodologies into Conventional Marketing Research upon the Quality of Students' Understanding of the Concept

ERIC Educational Resources Information Center

Ayman, Umut; Serim, Mehmet Cenk

2004-01-01

It has been an ongoing concern among academicians teaching social sciences to develop a better methodology to ease understanding of students. Since verbal emphasis is at the core of the concepts within such disciplines it has been observed that the adequate or desired level of conceptual understanding of the students to transforms the theories…

Utilizing Structural Equation Modeling and Social Cognitive Career Theory to Identify Factors in Choice of It as a Major

ERIC Educational Resources Information Center

Luse, Andy; Rursch, Julie A.; Jacobson, Doug

2014-01-01

In the United States, the number of students entering into and completing degrees in science, technology, engineering, and mathematics (STEM) areas has declined significantly over the past decade. Although modest increases have been shown in enrollments in computer-related majors in the past 4 years, the prediction is that even in 3 to 4 years…

The End of Work: The Decline of the Global Labor Force and the Dawn of the Post-Market Era.

ERIC Educational Resources Information Center

Rifkin, Jeremy

This book explores the global economic and social changes that will likely occur as continued technological advancements (especially in the field of computer science) reduce the number of workers needed to produce the goods and services needed by the global population. The book is divided into five sections. Section 1 presents an overview of the…

Computer Science Career Network

DTIC Science & Technology

2013-03-01

development model. TopCoder’s development model is competition-based, meaning that TopCoder conducts competitions to develop digital assets. TopCoder...success in running a competition that had as an objective creating digital assets, and we intend to run more of them, to create assets for...cash prizes and merchandise . This includes social media contests, contests will all our games, special referral contests, and a couple NASA

The Making of a History Standards Wiki: "Covering", "Uncovering", and "Discovering" Curriculum Frameworks Using a Highly Interactive Technology

ERIC Educational Resources Information Center

Maloy, Robert W.; Poirier, Michelle; Smith, Hilary K.; Edwards, Sharon A.

2010-01-01

This article explores using a wiki, one of the newest forms of interactive computer-based technology, as a resource for teaching the Massachusetts K-12 History and Social Science Curriculum Framework, a set of state-mandated learning standards. Wikis are web pages that can be easily edited by multiple authors. They invite active involvement by…

Analysis of context dependence in social interaction networks of a massively multiplayer online role-playing game.

PubMed

Son, Seokshin; Kang, Ah Reum; Kim, Hyun-chul; Kwon, Taekyoung; Park, Juyong; Kim, Huy Kang

2012-01-01

Rapid advances in modern computing and information technology have enabled millions of people to interact online via various social network and gaming services. The widespread adoption of such online services have made possible analysis of large-scale archival data containing detailed human interactions, presenting a very promising opportunity to understand the rich and complex human behavior. In collaboration with a leading global provider of Massively Multiplayer Online Role-Playing Games (MMORPGs), here we present a network science-based analysis of the interplay between distinct types of user interaction networks in the virtual world. We find that their properties depend critically on the nature of the context-interdependence of the interactions, highlighting the complex and multilayered nature of human interactions, a robust understanding of which we believe may prove instrumental in the designing of more realistic future virtual arenas as well as provide novel insights to the science of collective human behavior.

Senator Fred Harris's National Social Science Foundation proposal: Reconsidering federal science policy, natural science-social science relations, and American liberalism during the 1960s.

PubMed

Solovey, Mark

2012-03-01

During the 1960s, a growing contingent of left-leaning voices claimed that the social sciences suffered mistreatment and undue constraints within the natural science-dominated federal science establishment. According to these critics, the entrenched scientific pecking order in Washington had an unreasonable commitment to the unity of the sciences, which reinforced unacceptable inequalities between the social and the natural sciences. The most important political figure who advanced this critique, together with a substantial legislative proposal for reform, was the Oklahoma Democratic Senator Fred Harris. Yet histories of science and social science have told us surprisingly little about Harris. Moreover, existing accounts of his effort to create a National Social Science Foundation have misunderstood crucial features of this story. This essay argues that Harris's NSSF proposal developed into a robust, historically unique, and increasingly critical liberal challenge to the post-World War II federal science establishment's treatment of the social sciences as "second-class citizens."

The need and potential for building a integrated knowledge-base of the Earth-Human system

NASA Astrophysics Data System (ADS)

Jacobs, Clifford

2011-03-01

The pursuit of scientific understanding is increasingly based on interdisciplinary research. To understand more deeply the planet and its interactions requires a progressively more holistic approach, exploring knowledge coming from all scientific and engineering disciplines including but not limited to, biology, chemistry, computer sciences, geosciences, material sciences, mathematics, physics, cyberinfrastucture, and social sciences. Nowhere is such an approach more critical than in the study of global climate change in which one of the major challenges is the development of next-generation Earth System Models that include coupled and interactive representations of ecosystems, agricultural working lands and forests, urban environments, biogeochemistry, atmospheric chemistry, ocean and atmospheric currents, the water cycle, land ice, and human activities.

Social Science Collaboration with Environmental Health

PubMed Central

Hoover, Elizabeth; Renauld, Mia; Edelstein, Michael R.

2015-01-01

Background Social science research has been central in documenting and analyzing community discovery of environmental exposure and consequential processes. Collaboration with environmental health science through team projects has advanced and improved our understanding of environmental health and justice. Objective We sought to identify diverse methods and topics in which social scientists have expanded environmental health understandings at multiple levels, to examine how transdisciplinary environmental health research fosters better science, and to learn how these partnerships have been able to flourish because of the support from National Institute of Environmental Health Sciences (NIEHS). Methods We analyzed various types of social science research to investigate how social science contributes to environmental health. We also examined NIEHS programs that foster social science. In addition, we developed a case study of a community-based participation research project in Akwesasne in order to demonstrate how social science has enhanced environmental health science. Results Social science has informed environmental health science through ethnographic studies of contaminated communities, analysis of spatial distribution of environmental injustice, psychological experience of contamination, social construction of risk and risk perception, and social impacts of disasters. Social science–environmental health team science has altered the way scientists traditionally explore exposure by pressing for cumulative exposure approaches and providing research data for policy applications. Conclusions A transdisciplinary approach for environmental health practice has emerged that engages the social sciences to paint a full picture of the consequences of contamination so that policy makers, regulators, public health officials, and other stakeholders can better ameliorate impacts and prevent future exposure. Citation Hoover E, Renauld M, Edelstein MR, Brown P. 2015. Social science collaboration with environmental health. Environ Health Perspect 123:1100–1106; http://dx.doi.org/10.1289/ehp.1409283 PMID:25966491

Sexual risk and HIV prevention behaviours among African-American and Latino MSM social networking users.

PubMed

Young, Sean D; Szekeres, Greg; Coates, Thomas

2013-08-01

This study explores the feasibility of recruiting minority men who have sex with men Facebook users for human immunodeficiency virus (HIV) prevention studies and notes demographic and sexual risk behaviours. Facebook-registered men who have sex with men (MSM; N = 118) were recruited using online and offline methods. Participants validated Facebook-user status through using a Facebook Connect (computer science) application. Participants were primarily Latino (60.2%) and African-American (28.0%), with 33.1% using social media to find sex partners. Black MSM social networking users reported engaging in a lower frequency (coefficient = -0.48, p < 0.05) of unprotected receptive anal intercourse compared to Latino MSM. Results suggest that minority social media users can be recruited for HIV studies and that sexual risk behavioural differences exist among minority social networking users. Findings highlight the importance of incorporating technologies into population-focused HIV interventions.

Gaining insights from social media language: Methodologies and challenges.

PubMed

Kern, Margaret L; Park, Gregory; Eichstaedt, Johannes C; Schwartz, H Andrew; Sap, Maarten; Smith, Laura K; Ungar, Lyle H

2016-12-01

Language data available through social media provide opportunities to study people at an unprecedented scale. However, little guidance is available to psychologists who want to enter this area of research. Drawing on tools and techniques developed in natural language processing, we first introduce psychologists to social media language research, identifying descriptive and predictive analyses that language data allow. Second, we describe how raw language data can be accessed and quantified for inclusion in subsequent analyses, exploring personality as expressed on Facebook to illustrate. Third, we highlight challenges and issues to be considered, including accessing and processing the data, interpreting effects, and ethical issues. Social media has become a valuable part of social life, and there is much we can learn by bringing together the tools of computer science with the theories and insights of psychology. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Social sciences research in neglected tropical diseases 3: Investment in social science research in neglected diseases of poverty: a case study of Bill and Melinda Gates Foundation.

PubMed

Pokhrel, Subhash; Reidpath, Daniel; Allotey, Pascale

2011-01-06

The level of funding provides a good proxy for the level of commitment or prioritisation given to a particular issue. While the need for research relevant to social, economic, cultural and behavioural aspects of neglected tropical diseases (NTD) control has been acknowledged, there is limited data on the level of funding that supports NTD social science research. A case study was carried out in which the spending of a major independent funder, the Bill and Melinda Gates Foundation (BMGF) - was analysed. A total of 67 projects funded between October 1998 and November 2008 were identified from the BMGF database. With the help of keywords within the titles of 67 grantees, they were categorised as social science or non-social science research based on available definition of social science. A descriptive analysis was conducted. Of 67 projects analysed, 26 projects (39%) were social science related while 41 projects (61%) were basic science or other translational research including drug development. A total of US$ 697 million was spent to fund the projects, of which 35% ((US$ 241 million) went to social science research. Although the level of funding for social science research has generally been lower than that for non-social science research over 10 year period, social science research attracted more funding in 2004 and 2008. The evidence presented in this case study indicates that funding on NTD social science research compared to basic and translational research is not as low as it is perceived to be. However, as there is the acute need for improved delivery and utilisation of current NTD drugs/technologies, informed by research from social science approaches, funding priorities need to reflect the need to invest significantly more in NTD social science research.

Social sciences research in neglected tropical diseases 3: Investment in social science research in neglected diseases of poverty: a case study of Bill and Melinda Gates Foundation

PubMed Central

2011-01-01

Background The level of funding provides a good proxy for the level of commitment or prioritisation given to a particular issue. While the need for research relevant to social, economic, cultural and behavioural aspects of neglected tropical diseases (NTD) control has been acknowledged, there is limited data on the level of funding that supports NTD social science research. Method A case study was carried out in which the spending of a major independent funder, the Bill and Melinda Gates Foundation (BMGF) - was analysed. A total of 67 projects funded between October 1998 and November 2008 were identified from the BMGF database. With the help of keywords within the titles of 67 grantees, they were categorised as social science or non-social science research based on available definition of social science. A descriptive analysis was conducted. Results Of 67 projects analysed, 26 projects (39%) were social science related while 41 projects (61%) were basic science or other translational research including drug development. A total of US$ 697 million was spent to fund the projects, of which 35% ((US$ 241 million) went to social science research. Although the level of funding for social science research has generally been lower than that for non-social science research over 10 year period, social science research attracted more funding in 2004 and 2008. Conclusion The evidence presented in this case study indicates that funding on NTD social science research compared to basic and translational research is not as low as it is perceived to be. However, as there is the acute need for improved delivery and utilisation of current NTD drugs/technologies, informed by research from social science approaches, funding priorities need to reflect the need to invest significantly more in NTD social science research. PMID:21210999

Engaged Learning and Youth Interest in STEM Careers: A Science Museum Exhibit on Air Pollution and Urban Sustainability

NASA Astrophysics Data System (ADS)

Stuart, A. L.

2012-12-01

Enrollments in science, technology, engineering, and mathematics (STEM) curricula currently lag workforce needs. Participation of women and minorities in STEM careers also remains low despite efforts to improve their representation in these fields. We discuss the development and evaluation of a science museum exhibit aimed at stimulating interest of middle school children (particularly girls) in STEM careers. The exhibit was designed to teach science, while addressing two factors identified as limiting the interest of girls in STEM fields — perceived lack of social relevance and lack of female role models. Further, it was designed to apply best practices in science education, including inquiry-based learning and interdisciplinary content. The exhibit was developed through collaboration between students and faculty researchers at the University of South Florida and science education and evaluation specialists at the Museum of Science and Industry of Tampa. A few stages of formative and summative assessment, including focus group discussions, visitor observation, and surveys were used to evaluate the effectiveness of the exhibit to educational project goals. The installed exhibit is focused on teaching content related to interactions between air pollution, urban design, and human health. The approximately 25 square foot exhibit space involves four different types of components. A three-dimensional model of a city, with underlying dynamic computer simulations, allows visitors to interactively explore relationships between city design, air pollution and exposures. A computer game, with quiz questions requiring user decisions on personal to community behavior, provides visual feedback regarding impacts on air pollution. Traditional panels with graphics and text, including results of current research, display integrative scientific content with open-ended questions to stimulate discussion. Finally, personal profiles highlight the diverse family, work, and social lives of a few STEM professionals from childhood to mid-career. Current results of the educational evaluation suggest that the quiz game and three-dimensional interactive model were particularly effective at engaging and interesting visitors in the science content. The personal profiles appear to have helped to interest visitors in STEM careers, regardless of gender or age. The methods and results demonstrated through this exhibit should inform improvements to informal science education toward increased engagement of the next generation in science content and STEM careers.

[The teaching of social sciences in health: between practice and theory].

PubMed

Barros, Nelson Filice de

2014-04-01

The models of teaching social sciences and clinical practice are insufficient for the needs of practical-reflective teaching of social sciences applied to health. The scope of this article is to reflect on the challenges and perspectives of social science education for health professionals. In the 1950s the important movement bringing together social sciences and the field of health began, however weak credentials still prevail. This is due to the low professional status of social scientists in health and the ill-defined position of the social sciences professionals in the health field. It is also due to the scant importance attributed by students to the social sciences, the small number of professionals and the colonization of the social sciences by the biomedical culture in the health field. Thus, the professionals of social sciences applied to health are also faced with the need to build an identity, even after six decades of their presence in the field of health. This is because their ambivalent status has established them as a partial, incomplete and virtual presence, requiring a complex survival strategy in the nebulous area between social sciences and health.

Embodiment and Human Development.

PubMed

Marshall, Peter J

2016-12-01

We are recognizing increasingly that the study of cognitive, social, and emotional processes must account for their embodiment in living, acting beings. The related field of embodied cognition (EC) has coalesced around dissatisfaction with the lack of attention to the body in cognitive science. For developmental scientists, the emphasis in the literature on adult EC on the role of the body in cognition may not seem particularly novel, given that bodily action was central to Piaget's theory of cognitive development. However, as the influence of the Piagetian account waned, developmental notions of embodiment were shelved in favor of mechanical computational approaches. In this article, I argue that by reconsidering embodiment, we can address a key issue with computational accounts: how meaning is constructed by the developing person. I also suggest that the process-relational approach to developmental systems can provide a system of concepts for framing a fully embodied, integrative developmental science.

Embodiment and Human Development

PubMed Central

Marshall, Peter J.

2016-01-01

We are recognizing increasingly that the study of cognitive, social, and emotional processes must account for their embodiment in living, acting beings. The related field of embodied cognition (EC) has coalesced around dissatisfaction with the lack of attention to the body in cognitive science. For developmental scientists, the emphasis in the literature on adult EC on the role of the body in cognition may not seem particularly novel, given that bodily action was central to Piaget’s theory of cognitive development. However, as the influence of the Piagetian account waned, developmental notions of embodiment were shelved in favor of mechanical computational approaches. In this article, I argue that by reconsidering embodiment, we can address a key issue with computational accounts: how meaning is constructed by the developing person. I also suggest that the process-relational approach to developmental systems can provide a system of concepts for framing a fully embodied, integrative developmental science. PMID:27833651

EarthCube: A Community-Driven Cyberinfrastructure for the Geosciences

NASA Astrophysics Data System (ADS)

Koskela, Rebecca; Ramamurthy, Mohan; Pearlman, Jay; Lehnert, Kerstin; Ahern, Tim; Fredericks, Janet; Goring, Simon; Peckham, Scott; Powers, Lindsay; Kamalabdi, Farzad; Rubin, Ken; Yarmey, Lynn

2017-04-01

EarthCube is creating a dynamic, System of Systems (SoS) infrastructure and data tools to collect, access, analyze, share, and visualize all forms of geoscience data and resources, using advanced collaboration, technological, and computational capabilities. EarthCube, as a joint effort between the U.S. National Science Foundation Directorate for Geosciences and the Division of Advanced Cyberinfrastructure, is a quickly growing community of scientists across all geoscience domains, as well as geoinformatics researchers and data scientists. EarthCube has attracted an evolving, dynamic virtual community of more than 2,500 contributors, including earth, ocean, polar, planetary, atmospheric, geospace, computer and social scientists, educators, and data and information professionals. During 2017, EarthCube will transition to the implementation phase. The implementation will balance "innovation" and "production" to advance cross-disciplinary science goals as well as the development of future data scientists. This presentation will describe the current architecture design for the EarthCube cyberinfrastructure and implementation plan.

The impact of socio-technical communication styles on the diversity and innovation potential of global science collaboratories

DOE PAGES

Ozmen, Ozgur; Yilmaz, Levent; Smith, Jeffrey

2016-02-09

Emerging cyber-infrastructure tools are enabling scientists to transparently co-develop, share, and communicate about real-time diverse forms of knowledge artifacts. In these environments, communication preferences of scientists are posited as an important factor affecting innovation capacity and robustness of social and knowledge network structures. Scientific knowledge creation in such communities is called global participatory science (GPS). Recently, using agent-based modeling and collective action theory as a basis, a complex adaptive social communication network model (CollectiveInnoSim) is implemented. This work leverages CollectiveInnoSim implementing communication preferences of scientists. Social network metrics and knowledge production patterns are used as proxy metrics to infer innovationmore » potential of emergent knowledge and collaboration networks. The objective is to present the underlying communication dynamics of GPS in a form of computational model and delineate the impacts of various communication preferences of scientists on innovation potential of the collaboration network. Ultimately, the insight gained can help policy-makers to design GPS environments and promote innovation.« less

The impact of socio-technical communication styles on the diversity and innovation potential of global science collaboratories

DOE Office of Scientific and Technical Information (OSTI.GOV)

Ozmen, Ozgur; Yilmaz, Levent; Smith, Jeffrey

Emerging cyber-infrastructure tools are enabling scientists to transparently co-develop, share, and communicate about real-time diverse forms of knowledge artifacts. In these environments, communication preferences of scientists are posited as an important factor affecting innovation capacity and robustness of social and knowledge network structures. Scientific knowledge creation in such communities is called global participatory science (GPS). Recently, using agent-based modeling and collective action theory as a basis, a complex adaptive social communication network model (CollectiveInnoSim) is implemented. This work leverages CollectiveInnoSim implementing communication preferences of scientists. Social network metrics and knowledge production patterns are used as proxy metrics to infer innovationmore » potential of emergent knowledge and collaboration networks. The objective is to present the underlying communication dynamics of GPS in a form of computational model and delineate the impacts of various communication preferences of scientists on innovation potential of the collaboration network. Ultimately, the insight gained can help policy-makers to design GPS environments and promote innovation.« less

Exploring biological and social networks to better understand and treat diabetes mellitus. Comment on "Network science of biological systems at different scales: A review" by Gosak et al.

NASA Astrophysics Data System (ADS)

Belgardt, Bengt-Frederik; Jarasch, Alexander; Lammert, Eckhard

2018-03-01

Improvements and breakthroughs in computational sciences in the last 20 years have paralleled the rapid gain of influence of social networks on our daily life. As timely reviewed by Perc and colleagues [1], understanding and treating complex human diseases, such as type 2 diabetes (T2D), from which already more than 5% of the global population suffer, will necessitate analyzing and understanding the multi-layered and interconnected networks that usually keep physiological functions intact, but are disturbed in disease states. These networks range from intra- and intercellular networks influencing cell behavior (e.g., secretion of insulin in response to food intake and anabolic response to insulin) to social networks influencing human behavior (e.g., food intake and physical activity). This commentary first expands on the background of pancreatic beta cell networks in human health and T2D, briefly introduces exosomes as novel signals exchanged between distant cellular networks, and finally discusses potential pitfalls and chances in network analyses with regards to experimental data acquisition and processing.

Can economics be a physical science?

NASA Astrophysics Data System (ADS)

Foley, Duncan K.

2016-12-01

Economics and other social sciences stem from the same methodological scientific revolution that gave birth to the natural sciences. The natural and social sciences share a commitment to the dialectical process of theory formation on the basis of empirical findings and theory revision to incorporate empirical anomalies. Claims that the subject matter of social and natural sciences differ qualitatively in terms of mathematical formalism, statistical modeling, or reductionism are unconvincing. The notion of a "value-free" character to natural sciences fails historical and critical tests. Natural and social sciences share an ideological component in their representation of the relation between the subject and the external natural and social world. Natural sciences arise from the struggles of human beings with nature in the process of social reproduction, while social sciences arise from the struggles of human beings with each other and with the class divisions social reproduction imposes.

Table-top earthquakes; a demonstration of seismology for teachers and students that can be used to augment lessons in earth science, physics, math, social studies, geography

USGS Publications Warehouse

Lahr, J.C.

1998-01-01

The apparatus consists of a heavy object that is dragged steadily with an elastic cord. Although pulled with a constant velocity, the heavy object repeatedly slides and then stops. A small vibration sensor, attached to a computer display, graphically monitors this intermittent motion. 2 This intermittent sliding motion mimics the intermittent fault slippage that characterizes the earthquake fault zones. In tectonically active regions, the Earth's outer brittle shell, which is about 50 km thick, is slowly deformed elastically along active faults. As the deformation increases, stress also increases, until fault slippage releases the stored elastic energy. This process is called elastic rebound. Detailed instructions are given for assembly and construction of this demonstration. Included are suggested sources for the vibration sensor (geophone) and the computer interface. Exclusive of the personal computer, the total cost is between $125 and $150. I gave a talk at the Geological Society of America's Cordilleran Section Centennial meeting on June 2, 1999. The slides show how this table-top demonstration can be used to help meet many of the K-12 teaching goals described in Benchmarks for Science Literacy (American Association for the Advancement of Science, 1993).

Artificial Exo-Society Modeling: a New Tool for SETI Research

NASA Astrophysics Data System (ADS)

Gardner, James N.

2002-01-01

One of the newest fields of complexity research is artificial society modeling. Methodologically related to artificial life research, artificial society modeling utilizes agent-based computer simulation tools like SWARM and SUGARSCAPE developed by the Santa Fe Institute, Los Alamos National Laboratory and the Bookings Institution in an effort to introduce an unprecedented degree of rigor and quantitative sophistication into social science research. The broad aim of artificial society modeling is to begin the development of a more unified social science that embeds cultural evolutionary processes in a computational environment that simulates demographics, the transmission of culture, conflict, economics, disease, the emergence of groups and coadaptation with an environment in a bottom-up fashion. When an artificial society computer model is run, artificial societal patterns emerge from the interaction of autonomous software agents (the "inhabitants" of the artificial society). Artificial society modeling invites the interpretation of society as a distributed computational system and the interpretation of social dynamics as a specialized category of computation. Artificial society modeling techniques offer the potential of computational simulation of hypothetical alien societies in much the same way that artificial life modeling techniques offer the potential to model hypothetical exobiological phenomena. NASA recently announced its intention to begin exploring the possibility of including artificial life research within the broad portfolio of scientific fields comprised by the interdisciplinary astrobiology research endeavor. It may be appropriate for SETI researchers to likewise commence an exploration of the possible inclusion of artificial exo-society modeling within the SETI research endeavor. Artificial exo-society modeling might be particularly useful in a post-detection environment by (1) coherently organizing the set of data points derived from a detected ETI signal, (2) mapping trends in the data points over time (assuming receipt of an extended ETI signal), and (3) projecting such trends forward to derive alternative cultural evolutionary scenarios for the exo-society under analysis. The latter exercise might be particularly useful to compensate for the inevitable time lag between generation of an ETI signal and receipt of an ETI signal on Earth. For this reason, such an exercise might be a helpful adjunct to the decisional process contemplated by Paragraph 9 of the Declaration of Principles Concerning Activities Following the Detection of Extraterrestrial Intelligence.

CLOSSS: A Machine Readable Data Base of Social Science Serials, Progress Report, 1971-1972. Working Paper No. 8.

ERIC Educational Resources Information Center

Roberts, S. A.; Bradshaw, R. G.

Deisgn of Information Systems in the Social Sciences (DISISS) is a research project conducted to describe the main characteristics of the literature of the social sciences using bibliometric techniques. A comprehensive machine readable file of social science serials was developed which is called CLOSSS (Check List of Social Science Serials). Data…

The International Symposium on Grids and Clouds

NASA Astrophysics Data System (ADS)

The International Symposium on Grids and Clouds (ISGC) 2012 will be held at Academia Sinica in Taipei from 26 February to 2 March 2012, with co-located events and workshops. The conference is hosted by the Academia Sinica Grid Computing Centre (ASGC). 2012 is the decennium anniversary of the ISGC which over the last decade has tracked the convergence, collaboration and innovation of individual researchers across the Asia Pacific region to a coherent community. With the continuous support and dedication from the delegates, ISGC has provided the primary international distributed computing platform where distinguished researchers and collaboration partners from around the world share their knowledge and experiences. The last decade has seen the wide-scale emergence of e-Infrastructure as a critical asset for the modern e-Scientist. The emergence of large-scale research infrastructures and instruments that has produced a torrent of electronic data is forcing a generational change in the scientific process and the mechanisms used to analyse the resulting data deluge. No longer can the processing of these vast amounts of data and production of relevant scientific results be undertaken by a single scientist. Virtual Research Communities that span organisations around the world, through an integrated digital infrastructure that connects the trust and administrative domains of multiple resource providers, have become critical in supporting these analyses. Topics covered in ISGC 2012 include: High Energy Physics, Biomedicine & Life Sciences, Earth Science, Environmental Changes and Natural Disaster Mitigation, Humanities & Social Sciences, Operations & Management, Middleware & Interoperability, Security and Networking, Infrastructure Clouds & Virtualisation, Business Models & Sustainability, Data Management, Distributed Volunteer & Desktop Grid Computing, High Throughput Computing, and High Performance, Manycore & GPU Computing.

The Science of Social Work and Its Relationship to Social Work Practice

ERIC Educational Resources Information Center

Anastas, Jeane W.

2014-01-01

As John Brekke has observed, social work does not use the word "science" to define itself, suggesting a need to articulate a science of social work. This article discusses the science of social work and its relationship to social work practice in the United States, arguing that a "rapprochement" between practice and science…

Computing the Social Brain Connectome Across Systems and States.

PubMed

Alcalá-López, Daniel; Smallwood, Jonathan; Jefferies, Elizabeth; Van Overwalle, Frank; Vogeley, Kai; Mars, Rogier B; Turetsky, Bruce I; Laird, Angela R; Fox, Peter T; Eickhoff, Simon B; Bzdok, Danilo

2017-05-18

Social skills probably emerge from the interaction between different neural processing levels. However, social neuroscience is fragmented into highly specialized, rarely cross-referenced topics. The present study attempts a systematic reconciliation by deriving a social brain definition from neural activity meta-analyses on social-cognitive capacities. The social brain was characterized by meta-analytic connectivity modeling evaluating coactivation in task-focused brain states and physiological fluctuations evaluating correlations in task-free brain states. Network clustering proposed a functional segregation into (1) lower sensory, (2) limbic, (3) intermediate, and (4) high associative neural circuits that together mediate various social phenomena. Functional profiling suggested that no brain region or network is exclusively devoted to social processes. Finally, nodes of the putative mirror-neuron system were coherently cross-connected during tasks and more tightly coupled to embodied simulation systems rather than abstract emulation systems. These first steps may help reintegrate the specialized research agendas in the social and affective sciences. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

[Information flow between medical and social sciences].

PubMed

Schubert, András; Somogyi, Anikó

2014-12-28

In order to reveal impacts of natural and social sciences on each other, the authors examined connections between fields of medical and social sciences using a search for references and citations of scientific publication. 1. The largest affinity between the medical and social sciences was found between neurosciences and psychology, but there was a significant affinity between clinical sciences and general social sciences, as well. 2. The example of General & Internal Medicine papers in the topics of "diabetes" suggests that in the period 2001-2010 the share of references to social sciences was significantly increased. In the meantime, social science papers in the same topics contained references to Clinical Medicine papers in a constantly high percentage. 3. In the sample under study, the age distribution of social science papers in the references did not differ significantly from that of the other sources. 4. Share of references to social science papers was found to be extremely high among Hungarian General & Internal Medicine papers in the topics of "diabetes". This finding still requires clarification, nevertheless, since e.g. it was not supported by an institutional comparison including the largest Hungarian medical research university. 5. The intensity of the reference/citation mediated information flows between the Hungarian Medical Journal, Orvosi Hetilap and social sciences appears to be in accordance with the current international trends.

The Study Team for Early Life Asthma Research (STELAR) consortium ‘Asthma e-lab’: team science bringing data, methods and investigators together

PubMed Central

Custovic, Adnan; Ainsworth, John; Arshad, Hasan; Bishop, Christopher; Buchan, Iain; Cullinan, Paul; Devereux, Graham; Henderson, John; Holloway, John; Roberts, Graham; Turner, Steve; Woodcock, Ashley; Simpson, Angela

2015-01-01

We created Asthma e-Lab, a secure web-based research environment to support consistent recording, description and sharing of data, computational/statistical methods and emerging findings across the five UK birth cohorts. The e-Lab serves as a data repository for our unified dataset and provides the computational resources and a scientific social network to support collaborative research. All activities are transparent, and emerging findings are shared via the e-Lab, linked to explanations of analytical methods, thus enabling knowledge transfer. eLab facilitates the iterative interdisciplinary dialogue between clinicians, statisticians, computer scientists, mathematicians, geneticists and basic scientists, capturing collective thought behind the interpretations of findings. PMID:25805205

Visions of the Future - the Changing Role of Actors in Data-Intensive Science

NASA Astrophysics Data System (ADS)

Schäfer, L.; Klump, J. F.

2013-12-01

Around the world scientific disciplines are increasingly facing the challenge of a burgeoning volume of research data. This data avalanche consists of a stream of information generated from sensors and scientific instruments, digital recordings, social-science surveys or drawn from the World Wide Web. All areas of the scientific economy are affected by this rapid growth in data, from the logging of digs in Archaeology, telescope data with observations of distant galaxies in Astrophysics or data from polls and surveys in the Social Sciences. The challenge for science is not only to process the data through analysis, reduction and visualization, but also to set up infrastructures for provisioning and storing the data. The rise of new technologies and developments also poses new challenges for the actors in the area of research data infrastructures. Libraries, as one of the actors, enable access to digital media and support the publication of research data and its long-term archiving. Digital media and research data, however, introduce new aspects into the libraries' range of activities. How are we to imagine the library of the future? The library as an interface to the computer centers? Will library and computer center fuse into a new service unit? What role will scientific publishers play in future? Currently the traditional form of publication still carry greater weight - articles for conferences and journals. But will this still be the case in future? New forms of publication are already making their presence felt. The tasks of the computer centers may also change. Yesterday their remit was provisioning of rapid hardware, whereas now everything revolves around the topic of data and services. Finally, how about the researchers themselves? Not such a long time ago, Geoscience was not necessarily seen as linked to Computer Science. Nowadays, modern Geoscience relies heavily on IT and its techniques. Thus, in how far will the profile of the modern geoscientist change? This gives rise to the question of what tools are required to locate and pursue the correct course in a networked world. One tool from the area of innovation management is the scenario technique. This poster will outline visions of the future as possible developments of the scientific world in 2020 (or later). The scenarios presented will show possible developments - both positive and negative. It is up then to the actors themselves to define their own position in this context, to rethink it and consider steps that can achieve a positive development for the future.

Factors influencing exemplary science teachers' levels of computer use

NASA Astrophysics Data System (ADS)

Hakverdi, Meral

This study examines exemplary science teachers' use of technology in science instruction, factors influencing their level of computer use, their level of knowledge/skills in using specific computer applications for science instruction, their use of computer-related applications/tools during their instruction, and their students' use of computer applications/tools in or for their science class. After a relevant review of the literature certain variables were selected for analysis. These variables included personal self-efficacy in teaching with computers, outcome expectancy, pupil-control ideology, level of computer use, age, gender, teaching experience, personal computer use, professional computer use and science teachers' level of knowledge/skills in using specific computer applications for science instruction. The sample for this study includes middle and high school science teachers who received the Presidential Award for Excellence in Science Teaching Award (sponsored by the White House and the National Science Foundation) between the years 1997 and 2003 from all 50 states and U.S. territories. Award-winning science teachers were contacted about the survey via e-mail or letter with an enclosed return envelope. Of the 334 award-winning science teachers, usable responses were received from 92 science teachers, which made a response rate of 27.5%. Analysis of the survey responses indicated that exemplary science teachers have a variety of knowledge/skills in using computer related applications/tools. The most commonly used computer applications/tools are information retrieval via the Internet, presentation tools, online communication, digital cameras, and data collection probes. Results of the study revealed that students' use of technology in their science classroom is highly correlated with the frequency of their science teachers' use of computer applications/tools. The results of the multiple regression analysis revealed that personal self-efficacy related to the exemplary science teachers' level of computer use suggesting that computer use is dependent on perceived abilities at using computers. The teachers' use of computer-related applications/tools during class, and their personal self-efficacy, age, and gender are highly related with their level of knowledge/skills in using specific computer applications for science instruction. The teachers' level of knowledge/skills in using specific computer applications for science instruction and gender related to their use of computer-related applications/tools during class and the students' use of computer-related applications/tools in or for their science class. In conclusion, exemplary science teachers need assistance in learning and using computer-related applications/tool in their science class.

Razonamiento de Estudiantes Universitarios sobre Variabilidad e Intervalos de Confianza en un Contexto Inferencial Informal = University Students' Reasoning on Variability and Confidence Intervals in Inferential Informal Context

ERIC Educational Resources Information Center

Inzunsa Cazares, Santiago

2016-01-01

This article presents the results of a qualitative research with a group of 15 university students of social sciences on informal inferential reasoning developed in a computer environment on concepts involved in the confidence intervals. The results indicate that students developed a correct reasoning about sampling variability and visualized…

Computer Generated Pictorial Stores Management Displays for Fighter Aircraft.

DTIC Science & Technology

1983-05-01

questionnaire rating-scale data. KRISHNAIAH FINITE INTERSECTION TESTS (FITs) - A set of tests conducted after significant MANOVA results are found to...the Social Sciences (SPSS) (Reference 2). To further examine significant performance differences, the Krishnaiah Finite Intersection Test (FIT), a...New York: McGraw-Hill Book Company, 1975. 3. C. M. Cox, P. R. Krishnaiah , J. C. Lee, J. M. Reising, and F. J. Schuurman, A study on Finite Intersection

Learning and Work. An Exploration in Industrial Ethnography. Studies in Education and Culture, Vol. 8. Garland Reference Library of Social Science, Vol. 1069.

ERIC Educational Resources Information Center

Darrah, Charles N.

This book explores how people look at workplaces and the consequences for one's understanding of work. Chapter 1 discusses the rhetoric of skill requirements. Chapter 2 follows the attempt of Kramden Computers to provide training to reduce problems in workmanship and the program's failure due to the inadequacy of the skill concept. Chapter 3…

Influence versus intent for predictive analytics in situation awareness

NASA Astrophysics Data System (ADS)

Cui, Biru; Yang, Shanchieh J.; Kadar, Ivan

2013-05-01

Predictive analytics in situation awareness requires an element to comprehend and anticipate potential adversary activities that might occur in the future. Most work in high level fusion or predictive analytics utilizes machine learning, pattern mining, Bayesian inference, and decision tree techniques to predict future actions or states. The emergence of social computing in broader contexts has drawn interests in bringing the hypotheses and techniques from social theory to algorithmic and computational settings for predictive analytics. This paper aims at answering the question on how influence and attitude (some interpreted such as intent) of adversarial actors can be formulated and computed algorithmically, as a higher level fusion process to provide predictions of future actions. The challenges in this interdisciplinary endeavor include drawing existing understanding of influence and attitude in both social science and computing fields, as well as the mathematical and computational formulation for the specific context of situation to be analyzed. The study of `influence' has resurfaced in recent years due to the emergence of social networks in the virtualized cyber world. Theoretical analysis and techniques developed in this area are discussed in this paper in the context of predictive analysis. Meanwhile, the notion of intent, or `attitude' using social theory terminologies, is a relatively uncharted area in the computing field. Note that a key objective of predictive analytics is to identify impending/planned attacks so their `impact' and `threat' can be prevented. In this spirit, indirect and direct observables are drawn and derived to infer the influence network and attitude to predict future threats. This work proposes an integrated framework that jointly assesses adversarial actors' influence network and their attitudes as a function of past actions and action outcomes. A preliminary set of algorithms are developed and tested using the Global Terrorism Database (GTD). Our results reveals the benefits to perform joint predictive analytics with both attitude and influence. At the same time, we discover significant challenges in deriving influence and attitude from indirect observables for diverse adversarial behavior. These observations warrant further investigation of optimal use of influence and attitude for predictive analytics, as well as the potential inclusion of other environmental or capability elements for the actors.

Social Science Boot Camp: Development and Assessment of a Foundational Course on Academic Literacy in the Social Sciences

ERIC Educational Resources Information Center

Eaton, Judy; Long, Jennifer; Morris, David

2018-01-01

We developed a course, as part of our institution's core program, which provides students with a foundation in academic literacy in the social sciences: how to find, read, critically assess, and communicate about social science research. It is not a research methods course; rather, it is intended to introduce students to the social sciences and be…

[Legacy and promises from the teaching of Social Sciences in the Health field].

PubMed

Minayo, Maria Cecília de Souza

2012-12-01

The article analyzes the teaching and learning of social sciences in health sciences courses from the perspective of the curriculum and learning generated by research groups and thesis supervision activities. The author conducts a rereading of the classics and main contemporary scientists, based on the subarea's scientific output and her own personal experience as professor, researcher, and thesis supervisor. The article focuses on the tradition and teaching of the classics in social sciences, the main contemporary social theories, social sciences in health with an emphasis on teaching, and observations on the interface between teaching in social sciences and life sciences. The author concludes by highlighting the importance of work by social scientists in the health field and identifies the following problematic points: difficulties in dealing with mediations between the biological and the social; frequent subordination of foundations to techniques; and ideological and common-sense issues in the teaching and appropriation of Social Sciences in Health.

An economic and financial exploratory

NASA Astrophysics Data System (ADS)

Cincotti, S.; Sornette, D.; Treleaven, P.; Battiston, S.; Caldarelli, G.; Hommes, C.; Kirman, A.

2012-11-01

This paper describes the vision of a European Exploratory for economics and finance using an interdisciplinary consortium of economists, natural scientists, computer scientists and engineers, who will combine their expertise to address the enormous challenges of the 21st century. This Academic Public facility is intended for economic modelling, investigating all aspects of risk and stability, improving financial technology, and evaluating proposed regulatory and taxation changes. The European Exploratory for economics and finance will be constituted as a network of infrastructure, observatories, data repositories, services and facilities and will foster the creation of a new cross-disciplinary research community of social scientists, complexity scientists and computing (ICT) scientists to collaborate in investigating major issues in economics and finance. It is also considered a cradle for training and collaboration with the private sector to spur spin-offs and job creations in Europe in the finance and economic sectors. The Exploratory will allow Social Scientists and Regulators as well as Policy Makers and the private sector to conduct realistic investigations with real economic, financial and social data. The Exploratory will (i) continuously monitor and evaluate the status of the economies of countries in their various components, (ii) use, extend and develop a large variety of methods including data mining, process mining, computational and artificial intelligence and every other computer and complex science techniques coupled with economic theory and econometric, and (iii) provide the framework and infrastructure to perform what-if analysis, scenario evaluations and computational, laboratory, field and web experiments to inform decision makers and help develop innovative policy, market and regulation designs.

Diversity of social ties in scientific collaboration networks

NASA Astrophysics Data System (ADS)

Shi, Quan; Xu, Bo; Xu, Xiaomin; Xiao, Yanghua; Wang, Wei; Wang, Hengshan

2011-11-01

Diversity is one of the important perspectives to characterize behaviors of individuals in social networks. It is intuitively believed that diversity of social ties accounts for competition advantage and idea innovation. However, quantitative evidences in a real large social network can be rarely found in the previous research. Thanks to the availability of scientific publication records on WWW; now we can construct a large scientific collaboration network, which provides us a chance to gain insight into the diversity of relationships in a real social network through statistical analysis. In this article, we dedicate our efforts to perform empirical analysis on a scientific collaboration network extracted from DBLP, an online bibliographic database in computer science, in a systematical way, finding the following: distributions of diversity indices tend to decay in an exponential or Gaussian way; diversity indices are not trivially correlated to existing vertex importance measures; authors of diverse social ties tend to connect to each other and these authors are generally more competitive than others.

Frontier Scientists' project probes audience science interests with website, social media, TV broadcast, game, and pop-up book

NASA Astrophysics Data System (ADS)

O'Connell, E. A.

2017-12-01

The Frontier Scientists National Science Foundation project titled Science in Alaska: Using Multimedia to Support Science Education produced research products in several formats: videos short and long, blogs, social media, a computer game, and a pop-up book. These formats reached distinctly different audiences. Internet users, public TV viewers, gamers, schools, and parents & young children were drawn to Frontier Scientists' research in direct and indirect ways. The analytics (our big data) derived from this media broadcast has given us insight into what works, what doesn't, next steps. We have evidence for what is needed to present science as an interesting, vital, and a necessary component for the general public's daily information diet and as an important tool for scientists to publicize research and to thrive in their careers. Collaborations with scientists at several Universities, USGS, Native organizations, tourism organizations, and Alaska Museums promoted accuracy of videos and increased viewing. For example, Erin Marbarger, at Anchorage Museum, edited, and provided Spark!Lab to test parents & child's interest in the pop-up book titled: The Adventures of Apun the Arctic Fox. Without a marketing budget Frontier Scientist's minimum publicity, during the three year project, still drew an audience. Frontier Scientists was awarded Best Website 2016 by the Alaska Press Club, and won a number of awards for short videos and TV programs.

Climate change and health research: has it served rural communities?

PubMed

Bell, Erica J

2013-01-01

If climate change is the 21st Century's biggest public health threat, research faces the major challenge of providing adequate evidence for vulnerable communities to adapt to the health effects of climate change. Available information about best practice in climate adaptation suggests it is inclusive of socio-economic disadvantage and local community factors such as access to health services. Since 1995, at least 19 164 papers have been published on climate change in the health sciences and social sciences. This body of literature has not yet been systematically examined for how well it serves rural communities. The ultimate aim of the study was to contribute to better understandings about what climate adaptation research has been done and is needed for rural communities. The two research questions were: 'What kinds of content define climate change research in disciplines that could potentially contribute to adaptation for health?' and 'How is content about rural and Aboriginal communities and best practice in adaptation related to this content?' A quantitative content analysis was performed using 'computational linguistics' Leximancer software. The analysis included 19 164 health and social sciences abstracts, batched by years, from 1 January 1995 to 31 July 2012. The relative frequency and co-occurrence of 52 concepts in these abstracts were mapped, as well as associations with positive or negative sentiment for selected concepts. Aboriginal' concepts tend to be relatively infrequent (3% and 5% overall likelihood of occurrence, respectively) and are more associated with socio-economic concepts in the social sciences than the health sciences. Multiple concepts in the health sciences literature are typically connected with 'disease' and ultimately 'science' storylines, with a 38% likelihood of paired co-occurrence of 'health' and 'disease' concepts alone. The social sciences appear more focused on the local and particular issues of community in climate change than the health sciences. 'Rural' and 'Aboriginal' concepts have increased by 1% across both discipline areas, since 2011 for the 'rural' concept and since 2004 for the 'Aboriginal' concept. 'Health' concepts in the health sciences and 'economic' concepts in the social sciences, as well as 'urban' concepts, are referred to more positively than either the 'rural' or 'Aboriginal' concepts. While care needs to be taken in interpreting the results of this study too negatively for rural and Aboriginal communities, they suggest that a disease focus dominates climate and health research typically unconnected to wider socio-economic and human system factors. This finding needs to be considered in light of the accumulating evidence of the importance of such contextual systemic factors in understanding climate and health effects and responses. The study adds some support to the view that a key priority is bringing the learnings of applied community-based researchers, from those in rural health to those in the social sciences, to climate research. There is a need to build confidence, including in the rural health sector which has arguably been slow to participate in programs of climate change research, that community-based research could make a difference to rural health in a climate-changing world.

Response: From Fish and Bicycles to a Science of Social Work

ERIC Educational Resources Information Center

Marsh, Jeanne Cay

2012-01-01

John Brekke challenges the field and profession of social work to define and develop the "science of social work". This response to Brekke's paper identifies the premises undergirding a discussion of the science of social work related to (1) a definition of "science";; (2 ) an organizing principle for social work; (3) a…

New research on women's low participation in science and technology

NASA Astrophysics Data System (ADS)

Stout, Jane

It is well known that women have historically been and continue to be grossly underrepresented in technical fields (i.e., the physical sciences, engineering, and computing). This presentation will address the following research questions: What dissuades women from entering into a technical career track, and what are women's experiences like within technical fields? At the same time, this presentation will acknowledge a shortcoming of decades of social science research and interventions designed to improve women's interest and persistence in technical fields: a narrow definition of ``women''. Given that the majority of women in colleges and universities (i.e., the typical sites of social science research) tend to be affluent and/or White, STEM education research that relies on convenience samples at colleges and universities paints a skewed picture of gender issues in technical fields. This presentation will showcase research findings that call into question conventional conceptions of gender disparities in technical fields. Specifically, the presentation will emphasize the importance of recognizing that women constitute more than their gender; women come from a diverse array of backgrounds, which no doubt play a role in the experience of being a woman in technical fields. By understanding the experiences of women from a broad array of demographics groups, the STEM education community can develop a corresponding set of strategies to recruit and retain women with diverse interests, experiences, and values (e.g., first generation versus second college students; women of different racial/ethnic backgrounds). The aim of this presentation is to promote social science research and interventions that acknowledge the nuanced experiences of diverse women in technical fields, in order to address the seemingly intractable problem of women's underrepresentation in technical fields. NSF DUE-1431112, NSF CNS-1246649.

Aurorasaurus: Citizen Scientists Experiencing Extremes of Space Weather

NASA Astrophysics Data System (ADS)

MacDonald, E.; Hall, M.; Tapia, A.

2013-12-01

Aurorasaurus is a new citizen science mapping platform to nowcast the visibility of the Northern Lights for the public in the current solar maximum, the first with social media. As a recently funded NSF INSPIRE program, we have joint goals among three research disciplines: space weather forecasting, the study of human-computer interactions, and informal science education. We will highlight results from the prototype www.aurorasaurus.org and outline future efforts to motivate online participants and crowdsource viable data. Our citizen science effort is unique among space programs as it includes both reporting observations and data analysis activities to engage the broadest participant network possible. In addition, our efforts to improve space weather nowcasting by including real-time mapping of ground truth observers for rare, sporadic events are a first in the field.

Going beyond the NASA Earthdata website: Reaching out to new audiences via social media and webinars

NASA Astrophysics Data System (ADS)

Bagwell, R.; Wong, M. M.; Brennan, J.; Murphy, K. J.; Behnke, J.

2014-12-01

This poster will introduce and explore the various social media efforts and monthly webinar series recently established by the National Aeronautics and Space Administration (NASA) Earth Observing System Data and Information System (EOSDIS) project. EOSDIS is a key core capability in NASA's Earth Science Data Systems Program. It provides end-to-end capabilities for managing NASA's Earth science data from various sources - satellites, aircraft, field measurements, and various other programs. Some of the capabilities include twelve Distributed Active Archive Centers (DAACs), Science Computing Facilities (SCFs), a data discovery and service access client (Reverb), dataset directory (Global Change Master Directory - GCMD), near real-time data (Land Atmosphere Near real-time Capability for EOS - LANCE), Worldview (an imagery visualization interface), Global Imagery Browse Services, the Earthdata Code Collaborative, and a host of other discipline specific data discovery, data access, data subsetting and visualization tools and services. We have embarked on these efforts to reach out to new audiences and potential new users and to engage our diverse end user communities world-wide. One of the key objectives is to increase awareness of the breadth of Earth science data information, services, and tools that are publicly available while also highlighting how these data and technologies enable scientific research.

Social Science Perspectives on Vocational Rehabilitation--A Symposium.

ERIC Educational Resources Information Center

Stubbins, Joseph, Ed.

1984-01-01

Nine author-contributed papers focus on social science perspectives of vocational rehabilitation. Papers address issues related to history, psychological perspectives, ideologies of clinical and ecological models, economics, social policy, political science, phenomenology, cross-cultural studies, and vocational rehabilitation as a social science.…

Social Science Docket, 2000-2001.

ERIC Educational Resources Information Center

Singer, Alan, Ed.

2001-01-01

A joint publication of the New York and New Jersey State Councils for the Social Studies, "Social Science Docket" presents K-12 teachers with resources covering the social science disciplines, including history, economics, political science, sociology, geography, anthropology, and psychology. Each issue includes theme-related and…

Advances in natural language processing.

PubMed

Hirschberg, Julia; Manning, Christopher D

2015-07-17

Natural language processing employs computational techniques for the purpose of learning, understanding, and producing human language content. Early computational approaches to language research focused on automating the analysis of the linguistic structure of language and developing basic technologies such as machine translation, speech recognition, and speech synthesis. Today's researchers refine and make use of such tools in real-world applications, creating spoken dialogue systems and speech-to-speech translation engines, mining social media for information about health or finance, and identifying sentiment and emotion toward products and services. We describe successes and challenges in this rapidly advancing area. Copyright © 2015, American Association for the Advancement of Science.

Response: Social Work, Science, Social Impact--Crafting an Integrative Conversation

ERIC Educational Resources Information Center

Nurius, Paula S.; Kemp, Susan P.

2012-01-01

Shifts in the ways that science is being undertaken and marshaled toward social change argue for a new kind of professional competence. Taking the view that the science of social work is centrally about the relationship of research to social impact, the authors extend Fong's focus on transdisciplinary and translational approaches to science,…

The Structure of Medical Informatics Journal Literature

PubMed Central

Morris, Theodore A.; McCain, Katherine W.

1998-01-01

Abstract Objective: Medical informatics is an emergent interdisciplinary field described as drawing upon and contributing to both the health sciences and information sciences. The authors elucidate the disciplinary nature and internal structure of the field. Design: To better understand the field's disciplinary nature, the authors examine the intercitation relationships of its journal literature. To determine its internal structure, they examined its journal cocitation patterns. Measurements: The authors used data from the Science Citation Index (SCI) and Social Science Citation Index (SSCI) to perform intercitation studies among productive journal titles, and software routines from SPSS to perform multivariate data analyses on cocitation data for proposed core journals. Results: Intercitation network analysis suggests that a core literature exists, one mark of a separate discipline. Multivariate analyses of cocitation data suggest that major focus areas within the field include biomedical engineering, biomedical computing, decision support, and education. The interpretable dimensions of multidimensional scaling maps differed for the SCI and SSCI data sets. Strong links to information science literature were not found. Conclusion: The authors saw indications of a core literature and of several major research fronts. The field appears to be viewed differently by authors writing in journals indexed by SCI from those writing in journals indexed by SSCI, with more emphasis placed on computers and engineering versus decision making by the former and more emphasis on theory versus application (clinical practice) by the latter. PMID:9760393

Information dynamics algorithm for detecting communities in networks

NASA Astrophysics Data System (ADS)

Massaro, Emanuele; Bagnoli, Franco; Guazzini, Andrea; Lió, Pietro

2012-11-01

The problem of community detection is relevant in many scientific disciplines, from social science to statistical physics. Given the impact of community detection in many areas, such as psychology and social sciences, we have addressed the issue of modifying existing well performing algorithms by incorporating elements of the domain application fields, i.e. domain-inspired. We have focused on a psychology and social network-inspired approach which may be useful for further strengthening the link between social network studies and mathematics of community detection. Here we introduce a community-detection algorithm derived from the van Dongen's Markov Cluster algorithm (MCL) method [4] by considering networks' nodes as agents capable to take decisions. In this framework we have introduced a memory factor to mimic a typical human behavior such as the oblivion effect. The method is based on information diffusion and it includes a non-linear processing phase. We test our method on two classical community benchmark and on computer generated networks with known community structure. Our approach has three important features: the capacity of detecting overlapping communities, the capability of identifying communities from an individual point of view and the fine tuning the community detectability with respect to prior knowledge of the data. Finally we discuss how to use a Shannon entropy measure for parameter estimation in complex networks.

77 FR 24227 - Proposal Review Panel for Social and Economic Sciences; Notice of Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2012-04-23

... Kronz, Program Director; Science, Technology and Society Program; Division of Social and Economic... NATIONAL SCIENCE FOUNDATION Proposal Review Panel for Social and Economic Sciences; Notice of... Science Foundation announces the following meeting: Name: Site visit review of the Nanoscale Science and...

GeoChronos: An On-line Collaborative Platform for Earth Observation Scientists

NASA Astrophysics Data System (ADS)

Gamon, J. A.; Kiddle, C.; Curry, R.; Markatchev, N.; Zonta-Pastorello, G., Jr.; Rivard, B.; Sanchez-Azofeifa, G. A.; Simmonds, R.; Tan, T.

2009-12-01

Recent advances in cyberinfrastructure are offering new solutions to the growing challenges of managing and sharing large data volumes. Web 2.0 and social networking technologies, provide the means for scientists to collaborate and share information more effectively. Cloud computing technologies can provide scientists with transparent and on-demand access to applications served over the Internet in a dynamic and scalable manner. Semantic Web technologies allow for data to be linked together in a manner understandable by machines, enabling greater automation. Combining all of these technologies together can enable the creation of very powerful platforms. GeoChronos (http://geochronos.org/), part of a CANARIE Network Enabled Platforms project, is an online collaborative platform that incorporates these technologies to enable members of the earth observation science community to share data and scientific applications and to collaborate more effectively. The GeoChronos portal is built on an open source social networking platform called Elgg. Elgg provides a full set of social networking functionalities similar to Facebook including blogs, tags, media/document sharing, wikis, friends/contacts, groups, discussions, message boards, calendars, status, activity feeds and more. An underlying cloud computing infrastructure enables scientists to access dynamically provisioned applications via the portal for visualizing and analyzing data. Users are able to access and run the applications from any computer that has a Web browser and Internet connectivity and do not need to manage and maintain the applications themselves. Semantic Web Technologies, such as the Resource Description Framework (RDF) are being employed for relating and linking together spectral, satellite, meteorological and other data. Social networking functionality plays an integral part in facilitating the sharing of data and applications. Examples of recent GeoChronos users during the early testing phase have included the IAI International Wireless Sensor Networking Summer School at the University of Alberta, and the IAI Tropi-Dry community. Current GeoChronos activities include the development of a web-based spectral library and related analytical and visualization tools, in collaboration with members of the SpecNet community. The GeoChronos portal will be open to all members of the earth observation science community when the project nears completion at the end of 2010.

Gender differences in the use of computers, programming, and peer interactions in computer science classrooms

NASA Astrophysics Data System (ADS)

Stoilescu, Dorian; Egodawatte, Gunawardena

2010-12-01

Research shows that female and male students in undergraduate computer science programs view computer culture differently. Female students are interested more in the use of computers than in doing programming, whereas male students see computer science mainly as a programming activity. The overall purpose of our research was not to find new definitions for computer science culture but to see how male and female students see themselves involved in computer science practices, how they see computer science as a successful career, and what they like and dislike about current computer science practices. The study took place in a mid-sized university in Ontario. Sixteen students and two instructors were interviewed to get their views. We found that male and female views are different on computer use, programming, and the pattern of student interactions. Female and male students did not have any major issues in using computers. In computing programming, female students were not so involved in computing activities whereas male students were heavily involved. As for the opinions about successful computer science professionals, both female and male students emphasized hard working, detailed oriented approaches, and enjoying playing with computers. The myth of the geek as a typical profile of successful computer science students was not found to be true.

Virality Prediction and Community Structure in Social Networks

NASA Astrophysics Data System (ADS)

Weng, Lilian; Menczer, Filippo; Ahn, Yong-Yeol

2013-08-01

How does network structure affect diffusion? Recent studies suggest that the answer depends on the type of contagion. Complex contagions, unlike infectious diseases (simple contagions), are affected by social reinforcement and homophily. Hence, the spread within highly clustered communities is enhanced, while diffusion across communities is hampered. A common hypothesis is that memes and behaviors are complex contagions. We show that, while most memes indeed spread like complex contagions, a few viral memes spread across many communities, like diseases. We demonstrate that the future popularity of a meme can be predicted by quantifying its early spreading pattern in terms of community concentration. The more communities a meme permeates, the more viral it is. We present a practical method to translate data about community structure into predictive knowledge about what information will spread widely. This connection contributes to our understanding in computational social science, social media analytics, and marketing applications.

Virality Prediction and Community Structure in Social Networks

PubMed Central

Weng, Lilian; Menczer, Filippo; Ahn, Yong-Yeol

2013-01-01

How does network structure affect diffusion? Recent studies suggest that the answer depends on the type of contagion. Complex contagions, unlike infectious diseases (simple contagions), are affected by social reinforcement and homophily. Hence, the spread within highly clustered communities is enhanced, while diffusion across communities is hampered. A common hypothesis is that memes and behaviors are complex contagions. We show that, while most memes indeed spread like complex contagions, a few viral memes spread across many communities, like diseases. We demonstrate that the future popularity of a meme can be predicted by quantifying its early spreading pattern in terms of community concentration. The more communities a meme permeates, the more viral it is. We present a practical method to translate data about community structure into predictive knowledge about what information will spread widely. This connection contributes to our understanding in computational social science, social media analytics, and marketing applications. PMID:23982106

Virality prediction and community structure in social networks.

PubMed

Weng, Lilian; Menczer, Filippo; Ahn, Yong-Yeol

2013-01-01

How does network structure affect diffusion? Recent studies suggest that the answer depends on the type of contagion. Complex contagions, unlike infectious diseases (simple contagions), are affected by social reinforcement and homophily. Hence, the spread within highly clustered communities is enhanced, while diffusion across communities is hampered. A common hypothesis is that memes and behaviors are complex contagions. We show that, while most memes indeed spread like complex contagions, a few viral memes spread across many communities, like diseases. We demonstrate that the future popularity of a meme can be predicted by quantifying its early spreading pattern in terms of community concentration. The more communities a meme permeates, the more viral it is. We present a practical method to translate data about community structure into predictive knowledge about what information will spread widely. This connection contributes to our understanding in computational social science, social media analytics, and marketing applications.

Topology Analysis of Social Networks Extracted from Literature

PubMed Central

2015-01-01

In a world where complex networks are an increasingly important part of science, it is interesting to question how the new reading of social realities they provide applies to our cultural background and in particular, popular culture. Are authors of successful novels able to reproduce social networks faithful to the ones found in reality? Is there any common trend connecting an author’s oeuvre, or a genre of fiction? Such an analysis could provide new insight on how we, as a culture, perceive human interactions and consume media. The purpose of the work presented in this paper is to define the signature of a novel’s story based on the topological analysis of its social network of characters. For this purpose, an automated tool was built that analyses the dialogs in novels, identifies characters and computes their relationships in a time-dependent manner in order to assess the network’s evolution over the course of the story. PMID:26039072

Social Beliefs and Visual Attention: How the Social Relevance of a Cue Influences Spatial Orienting.

PubMed

Gobel, Matthias S; Tufft, Miles R A; Richardson, Daniel C

2018-05-01

We are highly tuned to each other's visual attention. Perceiving the eye or hand movements of another person can influence the timing of a saccade or the reach of our own. However, the explanation for such spatial orienting in interpersonal contexts remains disputed. Is it due to the social appearance of the cue-a hand or an eye-or due to its social relevance-a cue that is connected to another person with attentional and intentional states? We developed an interpersonal version of the Posner spatial cueing paradigm. Participants saw a cue and detected a target at the same or a different location, while interacting with an unseen partner. Participants were led to believe that the cue was either connected to the gaze location of their partner or was generated randomly by a computer (Experiment 1), and that their partner had higher or lower social rank while engaged in the same or a different task (Experiment 2). We found that spatial cue-target compatibility effects were greater when the cue related to a partner's gaze. This effect was amplified by the partner's social rank, but only when participants believed their partner was engaged in the same task. Taken together, this is strong evidence in support of the idea that spatial orienting is interpersonally attuned to the social relevance of the cue-whether the cue is connected to another person, who this person is, and what this person is doing-and does not exclusively rely on the social appearance of the cue. Visual attention is not only guided by the physical salience of one's environment but also by the mental representation of its social relevance. © 2017 The Authors. Cognitive Science published by Wiley Periodicals, Inc. on behalf of Cognitive Science Society.

Clocks to Computers: A Machine-Based “Big Picture” of the History of Modern Science.

PubMed

van Lunteren, Frans

2016-12-01

Over the last few decades there have been several calls for a “big picture” of the history of science. There is a general need for a concise overview of the rise of modern science, with a clear structure allowing for a rough division into periods. This essay proposes such a scheme, one that is both elementary and comprehensive. It focuses on four machines, which can be seen to have mediated between science and society during successive periods of time: the clock, the balance, the steam engine, and the computer. Following an extended developmental phase, each of these machines came to play a highly visible role in Western societies, both socially and economically. Each of these machines, moreover, was used as a powerful resource for the understanding of both inorganic and organic nature. More specifically, their metaphorical use helped to construe and refine some key concepts that would play a prominent role in such understanding. In each case the key concept would at some point be considered to represent the ultimate building block of reality. Finally, in a refined form, each of these machines would eventually make its entry in scientific research, thereby strengthening the ties between these machines and nature.

75 FR 50783 - Committee for Social, Behavioral, and Economic Sciences Notice of Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2010-08-17

... NATIONAL SCIENCE FOUNDATION ADVISORY Committee for Social, Behavioral, and Economic Sciences..., Behavioral, and Economic Sciences ( 1171). Date/Time: September 7, 2010; 8:30 a.m. to 6 p.m. September 8... Assistant Director, Directorate for Social, Behavioral, and Economic Sciences, National Science Foundation...

Sea Changes in Social Science Education: Woods Hole 2000. The Social Science Education Consortium Conference Series.

ERIC Educational Resources Information Center

White, Charles S., Ed.

The agenda for the Social Science Education Consortium conference at Woods Hole (Massachusetts) was designed to continue a tradition of examining scholarship relative to the social sciences in K-12 education. The content focus for this volume, is political science, economics, and sociology. Following a "Foreword" (Matthew T. Downey; Joseph P.…

Negotiating the Traffic: Can Cognitive Science Help Make Autonomous Vehicles a Reality?

PubMed

Chater, Nick; Misyak, Jennifer; Watson, Derrick; Griffiths, Nathan; Mouzakitis, Alex

2018-02-01

To drive safely among human drivers, cyclists and pedestrians, autonomous vehicles will need to mimic, or ideally improve upon, humanlike driving. Yet, driving presents us with difficult problems of joint action: 'negotiating' with other users over shared road space. We argue that autonomous driving provides a test case for computational theories of social interaction, with fundamental implications for the development of autonomous vehicles. Copyright © 2017 Elsevier Ltd. All rights reserved.

Communicating science in social settings.

PubMed

Scheufele, Dietram A

2013-08-20

This essay examines the societal dynamics surrounding modern science. It first discusses a number of challenges facing any effort to communicate science in social environments: lay publics with varying levels of preparedness for fully understanding new scientific breakthroughs; the deterioration of traditional media infrastructures; and an increasingly complex set of emerging technologies that are surrounded by a host of ethical, legal, and social considerations. Based on this overview, I discuss four areas in which empirical social science helps clarify intuitive but sometimes faulty assumptions about the social-level mechanisms of science communication and outline an agenda for bench and social scientists--driven by current social-scientific research in the field of science communication--to guide more effective communication efforts at the societal level in the future.

Communicating science in social settings

PubMed Central

Scheufele, Dietram A.

2013-01-01

This essay examines the societal dynamics surrounding modern science. It first discusses a number of challenges facing any effort to communicate science in social environments: lay publics with varying levels of preparedness for fully understanding new scientific breakthroughs; the deterioration of traditional media infrastructures; and an increasingly complex set of emerging technologies that are surrounded by a host of ethical, legal, and social considerations. Based on this overview, I discuss four areas in which empirical social science helps clarify intuitive but sometimes faulty assumptions about the social-level mechanisms of science communication and outline an agenda for bench and social scientists—driven by current social-scientific research in the field of science communication—to guide more effective communication efforts at the societal level in the future. PMID:23940341

Social determinants of health inequalities: towards a theoretical perspective using systems science.

PubMed

Jayasinghe, Saroj

2015-08-25

A systems approach offers a novel conceptualization to natural and social systems. In recent years, this has led to perceiving population health outcomes as an emergent property of a dynamic and open, complex adaptive system. The current paper explores these themes further and applies the principles of systems approach and complexity science (i.e. systems science) to conceptualize social determinants of health inequalities. The conceptualization can be done in two steps: viewing health inequalities from a systems approach and extending it to include complexity science. Systems approach views health inequalities as patterns within the larger rubric of other facets of the human condition, such as educational outcomes and economic development. This anlysis requires more sophisticated models such as systems dynamic models. An extension of the approach is to view systems as complex adaptive systems, i.e. systems that are 'open' and adapt to the environment. They consist of dynamic adapting subsystems that exhibit non-linear interactions, while being 'open' to a similarly dynamic environment of interconnected systems. They exhibit emergent properties that cannot be estimated with precision by using the known interactions among its components (such as economic development, political freedom, health system, culture etc.). Different combinations of the same bundle of factors or determinants give rise to similar patterns or outcomes (i.e. property of convergence), and minor variations in the initial condition could give rise to widely divergent outcomes. Novel approaches using computer simulation models (e.g. agent-based models) would shed light on possible mechanisms as to how factors or determinants interact and lead to emergent patterns of health inequalities of populations.

Social sciences research in neglected tropical diseases 2: A bibliographic analysis

PubMed Central

2011-01-01

Background There are strong arguments for social science and interdisciplinary research in the neglected tropical diseases. These diseases represent a rich and dynamic interplay between vector, host, and pathogen which occurs within social, physical and biological contexts. The overwhelming sense, however, is that neglected tropical diseases research is a biomedical endeavour largely excluding the social sciences. The purpose of this review is to provide a baseline for discussing the quantum and nature of the science that is being conducted, and the extent to which the social sciences are a part of that. Methods A bibliographic analysis was conducted of neglected tropical diseases related research papers published over the past 10 years in biomedical and social sciences. The analysis had textual and bibliometric facets, and focussed on chikungunya, dengue, visceral leishmaniasis, and onchocerciasis. Results There is substantial variation in the number of publications associated with each disease. The proportion of the research that is social science based appears remarkably consistent (<4%). A textual analysis, however, reveals a degree of misclassification by the abstracting service where a surprising proportion of the "social sciences" research was pure clinical research. Much of the social sciences research also tends to be "hand maiden" research focused on the implementation of biomedical solutions. Conclusion There is little evidence that scientists pay any attention to the complex social, cultural, biological, and environmental dynamic involved in human pathogenesis. There is little investigator driven social science and a poor presence of interdisciplinary science. The research needs more sophisticated funders and priority setters who are not beguiled by uncritical biomedical promises. PMID:21210997

Exploring the Relationships between Self-Efficacy and Preference for Teacher Authority among Computer Science Majors

ERIC Educational Resources Information Center

Lin, Che-Li; Liang, Jyh-Chong; Su, Yi-Ching; Tsai, Chin-Chung

2013-01-01

Teacher-centered instruction has been widely adopted in college computer science classrooms and has some benefits in training computer science undergraduates. Meanwhile, student-centered contexts have been advocated to promote computer science education. How computer science learners respond to or prefer the two types of teacher authority,…

A descriptive feast but an evaluative famine: systematic review of published articles on primary care computing during 1980-97.

PubMed

Mitchell, E; Sullivan, F

2001-02-03

To appraise findings from studies examining the impact of computers on primary care consultations. Systematic review of world literature from 1980 to 1997. 5475 references were identified from electronic databases (Medline, Science Citation Index, Social Sciences Citation Index, Index of Scientific and Technical Proceedings, Embase, OCLC FirstSearch Proceedings), bibliographies, books, identified articles, and by authors active in the field. 1892 eligible abstracts were independently rated, and 89 studies met the inclusion criteria. Effect on doctors' performance and patient outcomes; attitudes towards computerisation. 61 studies examined effects of computers on practitioners' performance, 17 evaluated their impact on patient outcome, and 20 studied practitioners' or patients' attitudes. Computer use during consultations lengthened the consultation. Reminder systems for preventive tasks and disease management improved process rates, although some returned to pre-intervention levels when reminders were stopped. Use of computers for issuing prescriptions increased prescribing of generic drugs, and use of computers for test ordering led to cost savings and fewer unnecessary tests. There were no negative effects on those patient outcomes evaluated. Doctors and patients were generally positive about use of computers, but issues of concern included their impact on privacy, the doctor-patient relationship, cost, time, and training needs. Primary care computing systems can improve practitioner performance, particularly for health promotion interventions. This may be at the expense of patient initiated activities, making many practitioners suspicious of the negative impact on relationships with patients. There remains a dearth of evidence evaluating effects on patient outcomes.

A descriptive feast but an evaluative famine: systematic review of published articles on primary care computing during 1980-97

PubMed Central

Mitchell, Elizabeth; Sullivan, Frank

2001-01-01

Objectives To appraise findings from studies examining the impact of computers on primary care consultations. Design Systematic review of world literature from 1980 to 1997. Data sources 5475 references were identified from electronic databases (Medline, Science Citation Index, Social Sciences Citation Index, Index of Scientific and Technical Proceedings, Embase, OCLC FirstSearch Proceedings), bibliographies, books, identified articles, and by authors active in the field. 1892 eligible abstracts were independently rated, and 89 studies met the inclusion criteria. Main outcome measures Effect on doctors' performance and patient outcomes; attitudes towards computerisation. Results 61 studies examined effects of computers on practitioners' performance, 17 evaluated their impact on patient outcome, and 20 studied practitioners' or patients' attitudes. Computer use during consultations lengthened the consultation. Reminder systems for preventive tasks and disease management improved process rates, although some returned to pre-intervention levels when reminders were stopped. Use of computers for issuing prescriptions increased prescribing of generic drugs, and use of computers for test ordering led to cost savings and fewer unnecessary tests. There were no negative effects on those patient outcomes evaluated. Doctors and patients were generally positive about use of computers, but issues of concern included their impact on privacy, the doctor-patient relationship, cost, time, and training needs. Conclusions Primary care computing systems can improve practitioner performance, particularly for health promotion interventions. This may be at the expense of patient initiated activities, making many practitioners suspicious of the negative impact on relationships with patients. There remains a dearth of evidence evaluating effects on patient outcomes. PMID:11157532

76 FR 24062 - Advisory Committee for Social, Behavioral and Economic Sciences; Notice of Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2011-04-29

... NATIONAL SCIENCE FOUNDATION Advisory Committee for Social, Behavioral and Economic Sciences..., Behavioral and Economic Sciences ( 1171) Date/Time: May 19, 2011; 9 a.m. to 5:30 p.m. May 20, 2011; 9 a.m. to..., Directorate for Social, Behavioral and Economic Sciences, National Science Foundation, 4201 Wilson Boulevard...

77 FR 25207 - Advisory Committee for Social, Behavioral and Economic Sciences; Notice of Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2012-04-27

... NATIONAL SCIENCE FOUNDATION Advisory Committee for Social, Behavioral and Economic Sciences..., Behavioral and Economic Sciences ( 1171). Date/Time: May 17, 2012; 8:30 a.m. to 5:30 p.m.; May 18, 2012; 8:30..., Directorate for Social, Behavioral and Economic Sciences, National Science Foundation, 4201 Wilson Boulevard...

76 FR 65219 - Advisory Committee for Social, Behavioral and Economic Sciences; Notice of Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2011-10-20

... NATIONAL SCIENCE FOUNDATION Advisory Committee for Social, Behavioral and Economic Sciences..., Behavioral and Economic Sciences ( 1171) Date/Time: November 3, 2011; 1 p.m. to 5:30 p.m. November 4, 2011; 8..., Directorate for Social, Behavioral and Economic Sciences, National Science Foundation, 4201 Wilson Boulevard...

75 FR 25886 - Advisory Committee for Social, Behavioral, and Economic Sciences; Notice of Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2010-05-10

... NATIONAL SCIENCE FOUNDATION Advisory Committee for Social, Behavioral, and Economic Sciences..., Behavioral, and Economic Sciences ( 1171). Date/Time: May 20, 2010; 8:30 a.m. to 5:30 p.m. May 21, 2010; 8:30..., Directorate for Social, Behavioral, and Economic Sciences, National Science Foundation, 4201 Wilson Boulevard...

International Symposium on Grids and Clouds (ISGC) 2016

NASA Astrophysics Data System (ADS)

The International Symposium on Grids and Clouds (ISGC) 2016 will be held at Academia Sinica in Taipei, Taiwan from 13-18 March 2016, with co-located events and workshops. The conference is hosted by the Academia Sinica Grid Computing Centre (ASGC). The theme of ISGC 2016 focuses on“Ubiquitous e-infrastructures and Applications”. Contemporary research is impossible without a strong IT component - researchers rely on the existence of stable and widely available e-infrastructures and their higher level functions and properties. As a result of these expectations, e-Infrastructures are becoming ubiquitous, providing an environment that supports large scale collaborations that deal with global challenges as well as smaller and temporal research communities focusing on particular scientific problems. To support those diversified communities and their needs, the e-Infrastructures themselves are becoming more layered and multifaceted, supporting larger groups of applications. Following the call for the last year conference, ISGC 2016 continues its aim to bring together users and application developers with those responsible for the development and operation of multi-purpose ubiquitous e-Infrastructures. Topics of discussion include Physics (including HEP) and Engineering Applications, Biomedicine & Life Sciences Applications, Earth & Environmental Sciences & Biodiversity Applications, Humanities, Arts, and Social Sciences (HASS) Applications, Virtual Research Environment (including Middleware, tools, services, workflow, etc.), Data Management, Big Data, Networking & Security, Infrastructure & Operations, Infrastructure Clouds and Virtualisation, Interoperability, Business Models & Sustainability, Highly Distributed Computing Systems, and High Performance & Technical Computing (HPTC), etc.

CARMA: Software for continuous affect rating and media annotation

PubMed Central

Girard, Jeffrey M

2017-01-01

CARMA is a media annotation program that collects continuous ratings while displaying audio and video files. It is designed to be highly user-friendly and easily customizable. Based on Gottman and Levenson's affect rating dial, CARMA enables researchers and study participants to provide moment-by-moment ratings of multimedia files using a computer mouse or keyboard. The rating scale can be configured on a number of parameters including the labels for its upper and lower bounds, its numerical range, and its visual representation. Annotations can be displayed alongside the multimedia file and saved for easy import into statistical analysis software. CARMA provides a tool for researchers in affective computing, human-computer interaction, and the social sciences who need to capture the unfolding of subjective experience and observable behavior over time. PMID:29308198

Twenty-five years of Social Science in Law.

PubMed

Monahan, John; Walker, Laurens

2011-02-01

In this essay, we take the publication of the seventh edition of the casebook Social Science in Law (2010) as an opportunity to reflect on continuities and changes that have occurred in the application of social science research to American law over the past quarter-century. We structure these reflections by comparing and contrasting the original edition of the book with the current one. When the first edition appeared, courts' reliance on social science was often confused and always contested. Now, courts' reliance on social science is so common as to be unremarkable. What has changed--sometimes radically--are the substantive legal questions on which social science has been brought to bear.

Implications of the 21st Century Cures Act for the Behavioral and Social Sciences at the National Institutes of Health.

PubMed

Riley, William T; Blizinsky, Katherine D

2017-06-01

The 21st Century Cures Act provides funding for key initiatives relevant to the behavioral and social sciences and includes administrative provisions that facilitate health research and increase the privacy protections of research participants. At about the same time as the passage of the Act, the National Institutes of Health Office of Behavioral and Social Sciences Research released its Strategic Plan 2017-2021, which addresses three scientific priorities: (a) improve the synergy of basic and applied behavioral and social sciences research; (b) enhance and promote the research infrastructure, methods, and measures needed to support a more cumulative and integrated approach to behavioral and social sciences; and (c) facilitate the adoption of behavioral and social sciences research findings in health research and in practice. This commentary describes the implications of the Cures Act on these scientific priorities and on the behavioral and social sciences more broadly.

Is chess the drosophila of artificial intelligence? A social history of an algorithm.

PubMed

Ensmenger, Nathan

2012-02-01

Since the mid 1960s, researchers in computer science have famously referred to chess as the 'drosophila' of artificial intelligence (AI). What they seem to mean by this is that chess, like the common fruit fly, is an accessible, familiar, and relatively simple experimental technology that nonetheless can be used productively to produce valid knowledge about other, more complex systems. But for historians of science and technology, the analogy between chess and drosophila assumes a larger significance. As Robert Kohler has ably described, the decision to adopt drosophila as the organism of choice for genetics research had far-reaching implications for the development of 20th century biology. In a similar manner, the decision to focus on chess as the measure of both human and computer intelligence had important and unintended consequences for AL research. This paper explores the emergence of chess as an experimental technology, its significance in the developing research practices of the AI community, and the unique ways in which the decision to focus on chess shaped the program of AI research in the decade of the 1970s. More broadly, it attempts to open up the virtual black box of computer software--and of computer games in particular--to the scrutiny of historical and sociological analysis.

Academic computer science and gender: A naturalistic study investigating the causes of attrition

NASA Astrophysics Data System (ADS)

Declue, Timothy Hall

Far fewer women than men take computer science classes in high school, enroll in computer science programs in college, or complete advanced degrees in computer science. The computer science pipeline begins to shrink for women even before entering college, but it is at the college level that the "brain drain" is the most evident numerically, especially in the first class taken by most computer science majors called "Computer Science 1" or CS-I. The result, for both academia and industry, is a pronounced technological gender disparity in academic and industrial computer science. The study revealed the existence of several factors influencing success in CS-I. First, and most clearly, the effect of attribution processes seemed to be quite strong. These processes tend to work against success for females and in favor of success for males. Likewise, evidence was discovered which strengthens theories related to prior experience and the perception that computer science has a culture which is hostile to females. Two unanticipated themes related to the motivation and persistence of successful computer science majors. The findings did not support the belief that females have greater logistical problems in computer science than males, or that females tend to have a different programming style than males which adversely affects the females' ability to succeed in CS-I.

Understanding University Reform in Japan through the Prism of the Social Sciences

ERIC Educational Resources Information Center

Goodman, Roger

2008-01-01

This article looks at current university reforms in Japan through two slightly different social science prisms: how social science methodologies and theories can help us understand those reforms better and how social science teaching in universities will be affected by the current reform processes. (Contains 3 tables and 7 notes.)

75 FR 65363 - Basic Behavioral and Social Science Opportunity Network (OppNet)

Federal Register 2010, 2011, 2012, 2013, 2014

2010-10-22

... public meeting to promote and publicize the Basic Behavioral and Social Science Opportunity Network (Opp... . Background: The Basic Behavioral and Social Science Opportunity Network (OppNet) is a trans-NIH initiative to expand the agency's funding of basic behavioral and social sciences research (b-BSSR). OppNet prioritizes...

Student Empowerment in an Environmental Science Classroom: Toward a Framework for Social Justice Science Education

ERIC Educational Resources Information Center

Dimick, Alexandra Schindel

2012-01-01

Social justice education is undertheorized in science education. Given the wide range of goals and purposes proposed within both social justice education and social justice science education scholarship, these fields require reconciliation. In this paper, I suggest a student empowerment framework for conceptualizing teaching and learning social…

Culture and Demography: From Reluctant Bedfellows to Committed Partners

PubMed Central

Bachrach, Christine A.

2015-01-01

Demography and culture have had a long but ambivalent relationship. Cultural influences are widely recognized as important for demographic outcomes, but are often “backgrounded” in demographic research. I argue that progress towards a more successful integration is feasible and suggest a network model of culture as a potential tool. The network model bridges both traditional (holistic and institutional) and contemporary (tool kit) models of culture used in the social sciences and offers a simple vocabulary for the diverse set of cultural concepts such as attitudes, beliefs and norms, and quantitative measures of how culture is organized. The proposed model conceptualizes culture as a nested network of meanings which are represented by schemas that range in complexity from simple concepts to multifaceted cultural models. I illustrate the potential value of a model using accounts of the cultural changes underpinning the transformation of marriage in the U.S. and point to developments in the social, cognitive and computational sciences that could facilitate the application of the model in empirical demographic research. PMID:24338643

Analysis of Context Dependence in Social Interaction Networks of a Massively Multiplayer Online Role-Playing Game

PubMed Central

Son, Seokshin; Kang, Ah Reum; Kim, Hyun-chul; Kwon, Taekyoung; Park, Juyong; Kim, Huy Kang

2012-01-01

Rapid advances in modern computing and information technology have enabled millions of people to interact online via various social network and gaming services. The widespread adoption of such online services have made possible analysis of large-scale archival data containing detailed human interactions, presenting a very promising opportunity to understand the rich and complex human behavior. In collaboration with a leading global provider of Massively Multiplayer Online Role-Playing Games (MMORPGs), here we present a network science-based analysis of the interplay between distinct types of user interaction networks in the virtual world. We find that their properties depend critically on the nature of the context-interdependence of the interactions, highlighting the complex and multilayered nature of human interactions, a robust understanding of which we believe may prove instrumental in the designing of more realistic future virtual arenas as well as provide novel insights to the science of collective human behavior. PMID:22496771

Culture and demography: from reluctant bedfellows to committed partners.

PubMed

Bachrach, Christine A

2014-02-01

Demography and culture have had a long but ambivalent relationship. Cultural influences are widely recognized as important for demographic outcomes but are often "backgrounded" in demographic research. I argue that progress toward a more successful integration is feasible and suggest a network model of culture as a potential tool. The network model bridges both traditional (holistic and institutional) and contemporary (tool kit) models of culture used in the social sciences and offers a simple vocabulary for a diverse set of cultural concepts, such as attitudes, beliefs, and norms, as well as quantitative measures of how culture is organized. The proposed model conceptualizes culture as a nested network of meanings represented by schemas that range in complexity from simple concepts to multifaceted cultural models. I illustrate the potential value of a model using accounts of the cultural changes underpinning the transformation of marriage in the United States and point to developments in the social, cognitive, and computational sciences that could facilitate the application of the model in empirical demographic research.

Ethical Guidelines for Computer Security Researchers: "Be Reasonable"

NASA Astrophysics Data System (ADS)

Sassaman, Len

For most of its existence, the field of computer science has been lucky enough to avoid ethical dilemmas by virtue of its relatively benign nature. The subdisciplines of programming methodology research, microprocessor design, and so forth have little room for the greater questions of human harm. Other, more recently developed sub-disciplines, such as data mining, social network analysis, behavioral profiling, and general computer security, however, open the door to abuse of users by practitioners and researchers. It is therefore the duty of the men and women who chart the course of these fields to set rules for themselves regarding what sorts of actions on their part are to be considered acceptable and what should be avoided or handled with caution out of ethical concerns. This paper deals solely with the issues faced by computer security researchers, be they vulnerability analysts, privacy system designers, malware experts, or reverse engineers.

Exploding the Black Box: Personal Computing, the Notebook Battery Crisis, and Postindustrial Systems Thinking.

PubMed

Eisler, Matthew N

Historians of science and technology have generally ignored the role of power sources in the development of consumer electronics. In this they have followed the predilections of historical actors. Research, development, and manufacturing of batteries has historically occurred at a social and intellectual distance from the research, development, and manufacturing of the devices they power. Nevertheless, power source technoscience should properly be understood as an allied yet estranged field of electronics. The separation between the fields has had important consequences for the design and manufacturing of mobile consumer electronics. This paper explores these dynamics in the co-construction of notebook batteries and computers. In so doing, it challenges assumptions of historians and industrial engineers and planners about the nature of computer systems in particular and the development of technological systems. The co-construction of notebook computers and batteries, and the occasional catastrophic failure of their compatibility, challenges systems thinking more generally.

Network structure and influence of the climate change counter-movement

NASA Astrophysics Data System (ADS)

Farrell, Justin

2016-04-01

Anthropogenic climate change represents a global threat to human well-being and ecosystem functioning. Yet despite its importance for science and policy, our understanding of the causes of widespread uncertainty and doubt found among the general public remains limited. The political and social processes driving such doubt and uncertainty are difficult to rigorously analyse, and research has tended to focus on the individual-level, rather than the larger institutions and social networks that produce and disseminate contrarian information. This study presents a new approach by using network science to uncover the institutional and corporate structure of the climate change counter-movement, and machine-learning text analysis to show its influence in the news media and bureaucratic politics. The data include a new social network of all known organizations and individuals promoting contrarian viewpoints, as well as the entirety of all written and verbal texts about climate change from 1993-2013 from every organization, three major news outlets, all US presidents, and every occurrence on the floor of the US Congress. Using network and computational text analysis, I find that the organizational power within the contrarian network, and the magnitude of semantic similarity, are both predicted by ties to elite corporate benefactors.

Behavioral and social sciences at the National Institutes of Health: Methods, measures, and data infrastructures as a scientific priority.

PubMed

Riley, William T

2017-01-01

The National Institutes of Health Office of Behavioral and Social Sciences Research (OBSSR) recently released its strategic plan for 2017-2021. This plan focuses on three equally important strategic priorities: 1) improve the synergy of basic and applied behavioral and social sciences research, 2) enhance and promote the research infrastructure, methods, and measures needed to support a more cumulative and integrated approach to behavioral and social sciences research, and 3) facilitate the adoption of behavioral and social sciences research findings in health research and in practice. This commentary focuses on scientific priority two and future directions in measurement science, technology, data infrastructure, behavioral ontologies, and big data methods and analytics that have the potential to transform the behavioral and social sciences into more cumulative, data rich sciences that more efficiently build on prior research. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Computer-Game Construction: A Gender-Neutral Attractor to Computing Science

ERIC Educational Resources Information Center

Carbonaro, Mike; Szafron, Duane; Cutumisu, Maria; Schaeffer, Jonathan

2010-01-01

Enrollment in Computing Science university programs is at a dangerously low level. A major reason for this is the general lack of interest in Computing Science by females. In this paper, we discuss our experience with using a computer game construction environment as a vehicle to encourage female participation in Computing Science. Experiments…

Toward information management in corporations (12)

NASA Astrophysics Data System (ADS)

Fujii, Kunihiko

Within the information areas in which the technology has been highly advanced, the ability required for corporate personnel in charge of information has changed gradually. They need to promote activities in which computer science is incorporated, although they had been involved in only activities featured by information science. While information personnel is required to have interdisciplinary and inter-business abilities, they need to make use of inhouse and external information for the business activities effectively. Corresponding to the social trend the author describes guidelines for such action, the concept and the importance in rendering information high value addes toward more versatile utilization of information, and proposes how significant human resources act in information use.

A Science of Social Work, and Social Work as an Integrative Scientific Discipline: Have We Gone Too Far, or Not Far Enough?

ERIC Educational Resources Information Center

Brekke, John S.

2014-01-01

There are two purposes to this article. The first is to update the science of social work framework. The second is to use recent discussions on the nature of realist science and on social work science to propose a definition of social work as an integrative scientific discipline that complements its definition as a profession.

Coordinating Information and Decisions of Hierarchical Distributed Decision Units in Crises

DTIC Science & Technology

1997-08-01

learning. Carley, K. (1988) Social stability and constructionism . Pittsburgh: Social and Decision Sciences Working Paper Series, Carnegie Mellon...Behavioral and Social Sciences Approved for public release; distribution is unlimited. U.S. ARMY RESEARCH INSTITUTE FOR THE BEHAVIORAL AND SOCIAL SCIENCES...it is no longer needed. Please do not return it to the U.S. Army Research Institute for the Behavioral and Social Sciences. NOTE: The views, opinions

Teaching Climate Social Science and Its Practices: A Two-Pronged Approach to Climate Literacy

NASA Astrophysics Data System (ADS)

Shwom, R.; Isenhour, C.; McCright, A.; Robinson, J.; Jordan, R.

2014-12-01

The Essential Principles of Climate Science Literacy states that a climate-literate individual can: "understand the essential principles of Earth's climate system, assess scientifically credible information about climate change, communicate about climate and climate change in a meaningful way, and make informed and responsible decisions with regard to actions that may affect climate." We argue that further integration of the social science dimensions of climate change will advance the climate literacy goals of communication and responsible actions. The underlying rationale for this argues: 1) teaching the habits of mind and scientific practices that have synergies across the social and natural sciences can strengthen students ability to understand and assess science in general and that 2) understanding the empirical research on the social, political, and economic processes (including climate science itself) that are part of the climate system is an important step for enabling effective action and communication. For example, while climate literacy has often identified the public's faulty mental models of climate processes as a partial explanation of complacency, emerging research suggests that the public's mental models of the social world are equally or more important in leading to informed and responsible climate decisions. Building student's ability to think across the social and natural sciences by understanding "how we know what we know" through the sciences and a scientific understanding of the social world allows us to achieve climate literacy goals more systematically and completely. To enable this integration we first identify the robust social science insights for the climate science literacy principles that involve social systems. We then briefly identify significant social science contributions to climate science literacy that do not clearly fit within the seven climate literacy principles but arguably could advance climate literacy goals. We conclude with suggestions on how the identified social science insights could be integrated into climate literacy efforts.

Cross Domain Deterrence: Livermore Technical Report, 2014-2016

DOE Office of Scientific and Technical Information (OSTI.GOV)

Barnes, Peter D.; Bahney, Ben; Matarazzo, Celeste

2016-08-03

Lawrence Livermore National Laboratory (LLNL) is an original collaborator on the project titled “Deterring Complex Threats: The Effects of Asymmetry, Interdependence, and Multi-polarity on International Strategy,” (CDD Project) led by the UC Institute on Global Conflict and Cooperation at UCSD under PIs Jon Lindsay and Erik Gartzke , and funded through the DoD Minerva Research Initiative. In addition to participating in workshops and facilitating interaction among UC social scientists, LLNL is leading the computational modeling effort and assisting with empirical case studies to probe the viability of analytic, modeling and data analysis concepts. This report summarizes LLNL work on themore » CDD Project to date, primarily in Project Years 1-2, corresponding to Federal fiscal year 2015. LLNL brings two unique domains of expertise to bear on this Project: (1) access to scientific expertise on the technical dimensions of emerging threat technology, and (2) high performance computing (HPC) expertise, required for analyzing the complexity of bargaining interactions in the envisioned threat models. In addition, we have a small group of researchers trained as social scientists who are intimately familiar with the International Relations research. We find that pairing simulation scientists, who are typically trained in computer science, with domain experts, social scientists in this case, is the most effective route to developing powerful new simulation tools capable of representing domain concepts accurately and answering challenging questions in the field.« less

VDOE :: Standards of Learning (SOL) and Testing

Science.gov Websites

Health History & Social Science Family Life Fine Arts Foreign Language Mathematics Physical Education the end of each grade or course in English, mathematics, science, history/social science and other subjects. SOL tests in reading, writing, mathematics, science and history/social science measure the

The ICPSR and Social Science Research

ERIC Educational Resources Information Center

Johnson, Wendell G.

2008-01-01

The Inter-university Consortium for Political and Social Research (ICPSR), a unit within the Institute for Social Research at the University of Michigan, is the world's largest social science data archive. The data sets in the ICPRS database give the social sciences librarian/subject specialist an opportunity of providing value-added bibliographic…

Central Computer Science Concepts to Research-Based Teacher Training in Computer Science: An Experimental Study

ERIC Educational Resources Information Center

Zendler, Andreas; Klaudt, Dieter

2012-01-01

The significance of computer science for economics and society is undisputed. In particular, computer science is acknowledged to play a key role in schools (e.g., by opening multiple career paths). The provision of effective computer science education in schools is dependent on teachers who are able to properly represent the discipline and whose…

A Novel Approach to Develop the Lower Order Model of Multi-Input Multi-Output System

NASA Astrophysics Data System (ADS)

Rajalakshmy, P.; Dharmalingam, S.; Jayakumar, J.

2017-10-01

A mathematical model is a virtual entity that uses mathematical language to describe the behavior of a system. Mathematical models are used particularly in the natural sciences and engineering disciplines like physics, biology, and electrical engineering as well as in the social sciences like economics, sociology and political science. Physicists, Engineers, Computer scientists, and Economists use mathematical models most extensively. With the advent of high performance processors and advanced mathematical computations, it is possible to develop high performing simulators for complicated Multi Input Multi Ouptut (MIMO) systems like Quadruple tank systems, Aircrafts, Boilers etc. This paper presents the development of the mathematical model of a 500 MW utility boiler which is a highly complex system. A synergistic combination of operational experience, system identification and lower order modeling philosophy has been effectively used to develop a simplified but accurate model of a circulation system of a utility boiler which is a MIMO system. The results obtained are found to be in good agreement with the physics of the process and with the results obtained through design procedure. The model obtained can be directly used for control system studies and to realize hardware simulators for boiler testing and operator training.

Implementation Science: Why it matters for the future of social work.

PubMed

Cabassa, Leopoldo J

2016-01-01

Bridging the gap between research and practice is a critical frontier for the future of social work. Integrating implementation science into social work can advance our profession's effort to bring research and practice closer together. Implementation science examines the factors, processes, and strategies that influence the uptake, use, and sustainability of empirically-supported interventions, practice innovations, and social policies in routine practice settings. The aims of this paper are to describe the key characteristics of implementation science, illustrate how implementation science matters to social work by describing several contributions this field can make to reducing racial and ethnic disparities in mental health care, and outline a training agenda to help integrate implementation science in graduate-level social work programs.

Implementation Science: Why it matters for the future of social work

PubMed Central

Cabassa, Leopoldo J.

2016-01-01

Bridging the gap between research and practice is a critical frontier for the future of social work. Integrating implementation science into social work can advance our profession’s effort to bring research and practice closer together. Implementation science examines the factors, processes, and strategies that influence the uptake, use, and sustainability of empirically-supported interventions, practice innovations, and social policies in routine practice settings. The aims of this paper are to describe the key characteristics of implementation science, illustrate how implementation science matters to social work by describing several contributions this field can make to reducing racial and ethnic disparities in mental health care, and outline a training agenda to help integrate implementation science in graduate-level social work programs. PMID:28216992

Opportunities-to-Learn at Home: Profiles of Students With and Without Reaching Science Proficiency

NASA Astrophysics Data System (ADS)

Liu, Xiufeng; Whitford, Melinda

2011-08-01

This study examines the relationship between opportunity-to-learn (OTL) at home and students' attainment of science proficiency. The data set used was the 2006 PISA science US national sample. Data mining was used to create patterns of association between home OTL variables and student attainment of science proficiency. It was found that students who failed to reach science proficiency are characterized by having fewer than 100 books at home; these students are also found to take out-of-school individual or group lessons with their teachers or with other teachers. On the other hands, students who reached science proficiency are characterized by having more than 100 books at home, not taking any out-of-school lessons, and having a highest parent level of graduate education. In addition to the above common characteristics, other home characteristics (e.g. computer and internet at home and language spoke at home) are also identified in profiles of students who have reached science proficiency. We explain the above findings in terms of current social-cultural theories. We finally discuss implications of the above findings for future studies and for improving science education policy and practice.

Mobile Network Data for Public Health: Opportunities and Challenges

PubMed Central

Oliver, Nuria; Matic, Aleksandar; Frias-Martinez, Enrique

2015-01-01

The ubiquity of mobile phones worldwide is generating an unprecedented amount of human behavioral data both at an individual and aggregated levels. The study of this data as a rich source of information about human behavior emerged almost a decade ago. Since then, it has grown into a fertile area of research named computational social sciences with a wide variety of applications in different fields such as social networks, urban and transport planning, economic development, emergency relief, and, recently, public health. In this paper, we briefly describe the state of the art on using mobile phone data for public health, and present the opportunities and challenges that this kind of data presents for public health. PMID:26301211

Perceived experiences with sexism among adolescent girls.

PubMed

Leaper, Campbell; Brown, Christia Spears

2008-01-01

This study investigated predictors of adolescent girls' experiences with sexism and feminism. Girls (N = 600; M = 15.1 years, range = 12-18), of varied socioeconomic and ethnic backgrounds, completed surveys of personal experiences with sexual harassment, academic sexism (regarding science, math, and computer technology), and athletics. Most girls reported sexual harassment (90%), academic sexism (52%), and athletic sexism (76%) at least once, with likelihood increasing with age. Socialization influences and individual factors, however, influenced likelihood of all three forms of sexism. Specifically, learning about feminism and gender-conformity pressures were linked to higher perceptions of sexism. Furthermore, girls' social gender identity (i.e., perceived gender typicality and gender-role contentedness) and gender-egalitarian attitudes were related to perceived sexism.

BraX-Ray: an X-ray of the Brazilian computer science graduate programs.

PubMed

Digiampietri, Luciano A; Mena-Chalco, Jesús P; Vaz de Melo, Pedro O S; Malheiro, Ana P R; Meira, Dânia N O; Franco, Laryssa F; Oliveira, Leonardo B

2014-01-01

Research productivity assessment is increasingly relevant for allocation of research funds. On one hand, this assessment is challenging because it involves both qualitative and quantitative analysis of several characteristics, most of them subjective in nature. On the other hand, current tools and academic social networks make bibliometric data web-available to everyone for free. Those tools, especially when combined with other data, are able to create a rich environment from which information on research productivity can be extracted. In this context, our work aims at characterizing the Brazilian Computer Science graduate programs and the relationship among themselves. We (i) present views of the programs from different perspectives, (ii) rank the programs according to each perspective and a combination of them, (iii) show correlation between assessment metrics, (iv) discuss how programs relate to another, and (v) infer aspects that boost programs' research productivity. The results indicate that programs with a higher insertion in the coauthorship network topology also possess a higher research productivity between 2004 and 2009.

Social science in a stem cell laboratory: what happened when social and life sciences met.

PubMed

Stacey, Glyn; Stephens, Neil

2012-01-01

We describe the experience of conducting intensive social science research at the UK Stem Cell Bank from the viewpoint of both the person conducting the social science research and the Director of the Bank. We detail the initial misunderstandings and concerns held by both and the problems these caused. Then we describe how the relationship developed as the project progressed and shared benefits became apparent. Finally, while acknowledging potential areas of tension between the life and social sciences, we suggest further interaction between the disciplines would prove beneficial for both and speculate as to how this may be achieved. In the discussion we identify a set of learning points from our experience and definitions of social science terminology that may help to inform future engagements between life and social scientists.

Future Perfect? The Future of the Social Sciences in Public Health

PubMed Central

Shelton, Rachel C.; Hatzenbuehler, Mark L.; Bayer, Ronald; Metsch, Lisa R.

2018-01-01

This is a critical and perhaps unprecedented time for the social sciences in public health. While there are many opportunities for the social sciences to continue making transformative contributions to improve population health, there are significant challenges in doing so, particularly in a rapidly changing political landscape. Such challenges are both external (e.g., congressional calls for reducing social science funding) and internal (e.g., scholars criticizing the social sciences for being stagnant and siloed). This paper highlights four key tensions that the field is grappling with and that have direct implications for how to train the next generation of social scientists in public health. We also discuss how departmental and institutional decisions made in response to these tensions will determine how the social sciences in public health are ultimately recognized, sustained, and advanced. PMID:29376047

Future Perfect? The Future of the Social Sciences in Public Health.

PubMed

Shelton, Rachel C; Hatzenbuehler, Mark L; Bayer, Ronald; Metsch, Lisa R

2017-01-01

This is a critical and perhaps unprecedented time for the social sciences in public health. While there are many opportunities for the social sciences to continue making transformative contributions to improve population health, there are significant challenges in doing so, particularly in a rapidly changing political landscape. Such challenges are both external (e.g., congressional calls for reducing social science funding) and internal (e.g., scholars criticizing the social sciences for being stagnant and siloed). This paper highlights four key tensions that the field is grappling with and that have direct implications for how to train the next generation of social scientists in public health. We also discuss how departmental and institutional decisions made in response to these tensions will determine how the social sciences in public health are ultimately recognized, sustained, and advanced.

Using spatial principles to optimize distributed computing for enabling the physical science discoveries

PubMed Central

Yang, Chaowei; Wu, Huayi; Huang, Qunying; Li, Zhenlong; Li, Jing

2011-01-01

Contemporary physical science studies rely on the effective analyses of geographically dispersed spatial data and simulations of physical phenomena. Single computers and generic high-end computing are not sufficient to process the data for complex physical science analysis and simulations, which can be successfully supported only through distributed computing, best optimized through the application of spatial principles. Spatial computing, the computing aspect of a spatial cyberinfrastructure, refers to a computing paradigm that utilizes spatial principles to optimize distributed computers to catalyze advancements in the physical sciences. Spatial principles govern the interactions between scientific parameters across space and time by providing the spatial connections and constraints to drive the progression of the phenomena. Therefore, spatial computing studies could better position us to leverage spatial principles in simulating physical phenomena and, by extension, advance the physical sciences. Using geospatial science as an example, this paper illustrates through three research examples how spatial computing could (i) enable data intensive science with efficient data/services search, access, and utilization, (ii) facilitate physical science studies with enabling high-performance computing capabilities, and (iii) empower scientists with multidimensional visualization tools to understand observations and simulations. The research examples demonstrate that spatial computing is of critical importance to design computing methods to catalyze physical science studies with better data access, phenomena simulation, and analytical visualization. We envision that spatial computing will become a core technology that drives fundamental physical science advancements in the 21st century. PMID:21444779

Using spatial principles to optimize distributed computing for enabling the physical science discoveries.

PubMed

Yang, Chaowei; Wu, Huayi; Huang, Qunying; Li, Zhenlong; Li, Jing

2011-04-05

Contemporary physical science studies rely on the effective analyses of geographically dispersed spatial data and simulations of physical phenomena. Single computers and generic high-end computing are not sufficient to process the data for complex physical science analysis and simulations, which can be successfully supported only through distributed computing, best optimized through the application of spatial principles. Spatial computing, the computing aspect of a spatial cyberinfrastructure, refers to a computing paradigm that utilizes spatial principles to optimize distributed computers to catalyze advancements in the physical sciences. Spatial principles govern the interactions between scientific parameters across space and time by providing the spatial connections and constraints to drive the progression of the phenomena. Therefore, spatial computing studies could better position us to leverage spatial principles in simulating physical phenomena and, by extension, advance the physical sciences. Using geospatial science as an example, this paper illustrates through three research examples how spatial computing could (i) enable data intensive science with efficient data/services search, access, and utilization, (ii) facilitate physical science studies with enabling high-performance computing capabilities, and (iii) empower scientists with multidimensional visualization tools to understand observations and simulations. The research examples demonstrate that spatial computing is of critical importance to design computing methods to catalyze physical science studies with better data access, phenomena simulation, and analytical visualization. We envision that spatial computing will become a core technology that drives fundamental physical science advancements in the 21st century.

Operationalizing Social Work Science through Research-Practice Partnerships: Lessons from Implementation Science

ERIC Educational Resources Information Center

Palinkas, Lawrence A.; He, Amy S.; Choy-Brown, Mimi; Hertel, Amy Locklear

2017-01-01

Recent efforts to identify and promote a distinct science for the discipline of social work have led to an ongoing debate regarding the nature and function of such a science. Central to this debate is a lack of consensus as to how to operationalize a social work science. Drawing from the field of implementation science and its application in…

Learning to Obtain Reward, but Not Avoid Punishment, Is Affected by Presence of PTSD Symptoms in Male Veterans: Empirical Data and Computational Model

DTIC Science & Technology

2013-08-27

University of New Jersey, Newark, New Jersey, United States of America, 3 Department of Psychology , Rutgers, The State University of New Jersey...United States of America, 5 Marcs Institute for Brain and Behaviour & School of Social Sciences and Psychology , University of Western Sydney, Sydney...for current, severe PTSD symptoms (PTSS) were tested on a probabilistic classification task [19] that interleaves reward learning and punishment

Usability and Utility of a Mobile Application for Marksmanship Training

DTIC Science & Technology

2015-01-01

Right of Canada, as represented by the Minister of National Defence, 2015 © Sa Majesté la Reine (en droit du Canada), telle que représentée par le...Empirical Evaluation of the System Usability Scale. International Journal of Human-Computer Interaction, 24(6), 574-594. BenMoussa, C. (2003). Workers on...Behavioral and Social Sciences. Jumisko-Pyykko, S., & Vainio, T. (2011). Framing the Context of Use for Mobile HCI. International Journal of Mobile

Game-Based Virtual Worlds as Decentralized Virtual Activity Systems

NASA Astrophysics Data System (ADS)

Scacchi, Walt

There is widespread interest in the development and use of decentralized systems and virtual world environments as possible new places for engaging in collaborative work activities. Similarly, there is widespread interest in stimulating new technological innovations that enable people to come together through social networking, file/media sharing, and networked multi-player computer game play. A decentralized virtual activity system (DVAS) is a networked computer supported work/play system whose elements and social activities can be both virtual and decentralized (Scacchi et al. 2008b). Massively multi-player online games (MMOGs) such as World of Warcraft and online virtual worlds such as Second Life are each popular examples of a DVAS. Furthermore, these systems are beginning to be used for research, deve-lopment, and education activities in different science, technology, and engineering domains (Bainbridge 2007, Bohannon et al. 2009; Rieber 2005; Scacchi and Adams 2007; Shaffer 2006), which are also of interest here. This chapter explores two case studies of DVASs developed at the University of California at Irvine that employ game-based virtual worlds to support collaborative work/play activities in different settings. The settings include those that model and simulate practical or imaginative physical worlds in different domains of science, technology, or engineering through alternative virtual worlds where players/workers engage in different kinds of quests or quest-like workflows (Jakobsson 2006).

A Financial Technology Entrepreneurship Program for Computer Science Students

ERIC Educational Resources Information Center

Lawler, James P.; Joseph, Anthony

2011-01-01

Education in entrepreneurship is becoming a critical area of curricula for computer science students. Few schools of computer science have a concentration in entrepreneurship in the computing curricula. The paper presents Technology Entrepreneurship in the curricula at a leading school of computer science and information systems, in which students…

78 FR 25309 - Advisory Committee for Social, Behavioral and Economic Sciences; Notice of Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2013-04-30

... NATIONAL SCIENCE FOUNDATION ADVISORY Advisory Committee for Social, Behavioral and Economic..., Behavioral and Economic Sciences ( 1171) Date/Time: May 20, 2013; 9:00 a.m. to 5:15 p.m. May 21, 2013; 9:00 a..., Directorate for Social, Behavioral and Economic Sciences, National Science Foundation, 4201 Wilson Boulevard...

Cancer as a Social Dysfunction - Why Cancer Research Needs New Thinking.

PubMed

Pienta, Kenneth J; Axelrod, Robert

2018-05-21

The incidence and mortality for many cancers continues to rise. As such, critical action is needed on many fronts to reshape how a society thinks, discusses, and fights cancer especially as the population grows and ages. Cancer can be described as a broken social contract which requires different conceptual frameworks such as game theory. To this end, it is our hope that this perspective will catalyze a discussion to rethink the way we approach, communicate, and fund cancer research - thinking of cancer as a broken social contract is only one example. Importantly, this endeavor will require infusion of ideas from other fields such as physics, computational medicine, complexity science, agent-based modeling, sociology, and ecology all of which have the capacity to drive new insights into cancer biology and clinical medicine. Copyright ©2018, American Association for Cancer Research.

Computer Science Teacher Professional Development in the United States: A Review of Studies Published between 2004 and 2014

ERIC Educational Resources Information Center

Menekse, Muhsin

2015-01-01

While there has been a remarkable interest to make computer science a core K-12 academic subject in the United States, there is a shortage of K-12 computer science teachers to successfully implement computer sciences courses in schools. In order to enhance computer science teacher capacity, training programs have been offered through teacher…

The Handicap Principle for Trust in Computer Security, the Semantic Web and Social Networking

NASA Astrophysics Data System (ADS)

Ma, Zhanshan (Sam); Krings, Axel W.; Hung, Chih-Cheng

Communication is a fundamental function of life, and it exists in almost all living things: from single-cell bacteria to human beings. Communication, together with competition and cooperation,arethree fundamental processes in nature. Computer scientists are familiar with the study of competition or 'struggle for life' through Darwin's evolutionary theory, or even evolutionary computing. They may be equally familiar with the study of cooperation or altruism through the Prisoner's Dilemma (PD) game. However, they are likely to be less familiar with the theory of animal communication. The objective of this article is three-fold: (i) To suggest that the study of animal communication, especially the honesty (reliability) of animal communication, in which some significant advances in behavioral biology have been achieved in the last three decades, should be on the verge to spawn important cross-disciplinary research similar to that generated by the study of cooperation with the PD game. One of the far-reaching advances in the field is marked by the publication of "The Handicap Principle: a Missing Piece of Darwin's Puzzle" by Zahavi (1997). The 'Handicap' principle [34][35], which states that communication signals must be costly in some proper way to be reliable (honest), is best elucidated with evolutionary games, e.g., Sir Philip Sidney (SPS) game [23]. Accordingly, we suggest that the Handicap principle may serve as a fundamental paradigm for trust research in computer science. (ii) To suggest to computer scientists that their expertise in modeling computer networks may help behavioral biologists in their study of the reliability of animal communication networks. This is largely due to the historical reason that, until the last decade, animal communication was studied with the dyadic paradigm (sender-receiver) rather than with the network paradigm. (iii) To pose several open questions, the answers to which may bear some refreshing insights to trust research in computer science, especially secure and resilient computing, the semantic web, and social networking. One important thread unifying the three aspects is the evolutionary game theory modeling or its extensions with survival analysis and agreement algorithms [19][20], which offer powerful game models for describing time-, space-, and covariate-dependent frailty (uncertainty and vulnerability) and deception (honesty).

Ways of thinking about and teaching ethical problem solving: microethics and macroethics in engineering.

PubMed

Herkert, Joseph R

2005-07-01

Engineering ethics entails three frames of reference: individual, professional, and social. "Microethics" considers individuals and internal relations of the engineering profession; "macroethics" applies to the collective social responsibility of the profession and to societal decisions about technology. Most research and teaching in engineering ethics, including online resources, has had a "micro" focus. Mechanisms for incorporating macroethical perspectives include: integrating engineering ethics and science, technology and society (STS); closer integration of engineering ethics and computer ethics; and consideration of the influence of professional engineering societies and corporate social responsibility programs on ethical engineering practice. Integrating macroethical issues and concerns in engineering ethics involves broadening the context of ethical problem solving. This in turn implies: developing courses emphasizing both micro and macro perspectives, providing faculty development that includes training in both STS and practical ethics; and revision of curriculum materials, including online resources. Multidisciplinary collaboration is recommended 1) to create online case studies emphasizing ethical decision making in individual, professional, and societal contexts; 2) to leverage existing online computer ethics resources with relevance to engineering education and practice; and 3) to create transparent linkages between public policy positions advocated by professional societies and codes of ethics.

Biomedical scientists' perception of the social sciences in health research.

PubMed

Albert, Mathieu; Laberge, Suzanne; Hodges, Brian D; Regehr, Glenn; Lingard, Lorelei

2008-06-01

The growing interest in interdisciplinary research within the Canadian health sciences sector has been manifested by initiatives aimed at increasing the involvement of the social sciences in this sector. Drawing on Bourdieu's concept of field and Knorr-Cetina's concept of epistemic culture, this study explores the extent to which it is possible for the social sciences to integrate into, and thrive in, a field in which the experimental paradigm occupies a hegemonic position. Thirty-one semi-structured interviews were conducted to explore biomedical scientists' receptiveness toward the social sciences in general and to qualitative research in particular. We found that these respondents exhibited a predominantly negative posture toward the social sciences; however, we also found considerable variation in their judgments and explanations. Eight biomedical scientists tended to be receptive to the social sciences, 7 ambivalent, and 16 unreceptive. The main rationale expressed by receptive respondents is that the legitimacy of a method depends on its capacity to adequately respond to a research question and not on its conformity to the experimental canon. Unreceptive respondents maintained that the social sciences cannot generate valid and reliable results because they are not conducive to the experimental design as a methodological approach. Ambivalent respondents were characterized by their cautiously accepting posture toward the social sciences and, especially, by their reservations about qualitative methods. Based on the biomedical scientists' limited receptiveness, we can anticipate that the growth of the social sciences will continue to meet obstacles within the health research field in the near future in Canada.

Social Sciences in Asia I: Bangladesh, Iran, Malaysia, Pakistan, Thailand. Reports and Papers in the Social Sciences, No. 32.

ERIC Educational Resources Information Center

United Nations Educational, Scientific, and Cultural Organization, Paris (France).

Part of a series which provides overviews of social science research and teaching in UNESCO member nations, the document focuses on Bangladesh, Iran, Malaysia, Pakistan, and Thailand. One chapter is devoted to each of the five nations. Chapter I discusses social science teaching at major universities in Bangladesh and recommends that research…

Community centrality and social science research.

PubMed

Allman, Dan

2015-12-01

Community centrality is a growing requirement of social science. The field's research practices are increasingly expected to conform to prescribed relationships with the people studied. Expectations about community centrality influence scholarly activities. These expectations can pressure social scientists to adhere to models of community involvement that are immediate and that include community-based co-investigators, advisory boards, and liaisons. In this context, disregarding community centrality can be interpreted as failure. This paper considers evolving norms about the centrality of community in social science. It problematises community inclusion and discusses concerns about the impact of community centrality on incremental theory development, academic integrity, freedom of speech, and the value of liberal versus communitarian knowledge. Through the application of a constructivist approach, this paper argues that social science in which community is omitted or on the periphery is not failed science, because not all social science requires a community base to make a genuine and valuable contribution. The utility of community centrality is not necessarily universal across all social science pursuits. The practices of knowing within social science disciplines may be difficult to transfer to a community. These practices of knowing require degrees of specialisation and interest that not all communities may want or have.

Community centrality and social science research

PubMed Central

Allman, Dan

2015-01-01

Community centrality is a growing requirement of social science. The field's research practices are increasingly expected to conform to prescribed relationships with the people studied. Expectations about community centrality influence scholarly activities. These expectations can pressure social scientists to adhere to models of community involvement that are immediate and that include community-based co-investigators, advisory boards, and liaisons. In this context, disregarding community centrality can be interpreted as failure. This paper considers evolving norms about the centrality of community in social science. It problematises community inclusion and discusses concerns about the impact of community centrality on incremental theory development, academic integrity, freedom of speech, and the value of liberal versus communitarian knowledge. Through the application of a constructivist approach, this paper argues that social science in which community is omitted or on the periphery is not failed science, because not all social science requires a community base to make a genuine and valuable contribution. The utility of community centrality is not necessarily universal across all social science pursuits. The practices of knowing within social science disciplines may be difficult to transfer to a community. These practices of knowing require degrees of specialisation and interest that not all communities may want or have. PMID:26440071

A Computational Model of Public Support for Insurgency and Terrorism: A Prototype for More-General Social-Science Modeling

DTIC Science & Technology

2013-01-01

PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) RAND...prototype model illustrating concretely a new approach. The prototype model itself should be seen not as a definitive end point, but rather as a...9 1 4 8 1 4 8 1 1 1 1 2 2 1 2 2 2 8 9 2 8 9 3 9 9 2 8 8 2 8 9 2 9 9 1 1 3 1 2 4 1 2 4 xviii A Computational Model of Public Support for Insurgency

Higher Social-Science Education in the U.S.S.R.

ERIC Educational Resources Information Center

Volkov, F. M.

1979-01-01

Examines social science teaching in the Soviet Union and explains how it is related to technological advancement. Topics discussed include social progress, developments within the social sciences, political influences, teaching methods, and teacher characteristics. Journal availability: see SO 507 303. (DB)

Predicting Individual Characteristics from Digital Traces on Social Media: A Meta-Analysis.

PubMed

Settanni, Michele; Azucar, Danny; Marengo, Davide

2018-04-01

The increasing utilization of social media provides a vast and new source of user-generated ecological data (digital traces), which can be automatically collected for research purposes. The availability of these data sets, combined with the convergence between social and computer sciences, has led researchers to develop automated methods to extract digital traces from social media and use them to predict individual psychological characteristics and behaviors. In this article, we reviewed the literature on this topic and conducted a series of meta-analyses to determine the strength of associations between digital traces and specific individual characteristics; personality, psychological well-being, and intelligence. Potential moderator effects were analyzed with respect to type of social media platform, type of digital traces examined, and study quality. Our findings indicate that digital traces from social media can be studied to assess and predict theoretically distant psychosocial characteristics with remarkable accuracy. Analysis of moderators indicated that the collection of specific types of information (i.e., user demographics), and the inclusion of different types of digital traces, could help improve the accuracy of predictions.

ISART: A Generic Framework for Searching Books with Social Information

PubMed Central

Cui, Xiao-Ping; Qu, Jiao; Geng, Bin; Zhou, Fang; Song, Li; Hao, Hong-Wei

2016-01-01

Effective book search has been discussed for decades and is still future-proof in areas as diverse as computer science, informatics, e-commerce and even culture and arts. A variety of social information contents (e.g, ratings, tags and reviews) emerge with the huge number of books on the Web, but how they are utilized for searching and finding books is seldom investigated. Here we develop an Integrated Search And Recommendation Technology (IsArt), which breaks new ground by providing a generic framework for searching books with rich social information. IsArt comprises a search engine to rank books with book contents and professional metadata, a Generalized Content-based Filtering model to thereafter rerank books with user-generated social contents, and a learning-to-rank technique to finally combine a wide range of diverse reranking results. Experiments show that this technology permits embedding social information to promote book search effectiveness, and IsArt, by making use of it, has the best performance on CLEF/INEX Social Book Search Evaluation datasets of all 4 years (from 2011 to 2014), compared with some other state-of-the-art methods. PMID:26863545

ISART: A Generic Framework for Searching Books with Social Information.

PubMed

Yin, Xu-Cheng; Zhang, Bo-Wen; Cui, Xiao-Ping; Qu, Jiao; Geng, Bin; Zhou, Fang; Song, Li; Hao, Hong-Wei

2016-01-01

Effective book search has been discussed for decades and is still future-proof in areas as diverse as computer science, informatics, e-commerce and even culture and arts. A variety of social information contents (e.g, ratings, tags and reviews) emerge with the huge number of books on the Web, but how they are utilized for searching and finding books is seldom investigated. Here we develop an Integrated Search And Recommendation Technology (IsArt), which breaks new ground by providing a generic framework for searching books with rich social information. IsArt comprises a search engine to rank books with book contents and professional metadata, a Generalized Content-based Filtering model to thereafter rerank books with user-generated social contents, and a learning-to-rank technique to finally combine a wide range of diverse reranking results. Experiments show that this technology permits embedding social information to promote book search effectiveness, and IsArt, by making use of it, has the best performance on CLEF/INEX Social Book Search Evaluation datasets of all 4 years (from 2011 to 2014), compared with some other state-of-the-art methods.

Computer Science | Classification | College of Engineering & Applied

Science.gov Websites

EMS 1011 profile photo Adrian Dumitrescu, Ph.D.ProfessorComputer Science(414) 229-4265Eng & Math @uwm.eduEng & Math Sciences 919 profile photo Hossein Hosseini, Ph.D.ProfessorComputer Science(414) 229 -5184hosseini@uwm.eduEng & Math Sciences 1091 profile photo Amol Mali, Ph.D.Associate ProfessorComputer

Computers in Science Education: Can They Go Far Enough? Have We Gone Too Far?

ERIC Educational Resources Information Center

Schrock, John Richard

1984-01-01

Indicates that although computers may churn out creative research, science is still dependent on science education, and that science education consists of increasing human experience. Also considers uses and misuses of computers in the science classroom, examining Edgar Dale's "cone of experience" related to laboratory computer and "extended…

An instructional package integrating science and social studies instruction at the fifth-grade level

NASA Astrophysics Data System (ADS)

Hulley, Kathy Louise Sullivan

Integrative education is being implemented by classroom teachers who want to immerse students in an environment rich in problem-solving skills, critical analysis skills, ethics, valuing of knowledge, and communication of learning. Several subject areas in the curriculum have been integrated, such as literature with social studies and mathematics with science. The focus of this dissertation is on the integration of science and social studies at the fifth grade level using the Mississippi State Department of Education Curriculum Guidelines and Objectives (MSDE, 1995) and the National Science Education Standards (National Research Council (NRC), 1996). An instructional package of lesson plans that teachers can use as ideas to create their own plans for an integrated curriculum of science and social studies was devised. The Mississippi State Department of Education Curriculum Guidelines and Objectives for Social Studies (MSDE, 1995) at the fifth grade level contain fifteen competencies. Three standards from the National Science Education Standards (NRC, 1996) were chosen. They include (a) science and technology, (b) science in personal and social perspectives, and (c) the history and nature of science. Each competency for social studies has three lesson plans written that integrate the three chosen standards from the National Science Education Standards. A total of forty-five lesson plans were written integrating science and social studies. Each lesson plan includes an objective, materials, procedures, and evaluation for teachers. Teachers are encouraged to use the lesson plans as a guide in creating their own lesson plans that would correspond to their school's particular curriculum guidelines. Consideration should be given to the learning levels and styles of their classroom. This qualitative study was done to create lesson plans that integrate science and social studies with the hope that teachers will expand upon them and implement them into their curricula.

How to compare the social foundations of science culture: A trial with five cities in Korea.

PubMed

Song, Jinwoong; Chung, Minkyung; Choi, Eunjeong; Kim, Leekyoung; Cho, Sook-Kyoung

2013-01-01

Though there have been several indicator systems to monitor the status quo of science and technology and of scientific literacy, few are especially designed for science culture, especially for its social dimension. Furthermore there is little agreement on how to measure it. In a previous study, an indicator system, SCI (Science Culture Indicators), had been developed to monitor the status quo of the science culture of a nation at both individual and social dimensions. The purpose of this study was to explore a practical way to measure and compare local cities' social foundation of science culture by revising and standardizing the social dimension of SCI and by applying it to five metropolitan cities in Korea. Despite some limits, the results of this study appear not only to reflect the cities' current situations but also to show the strength and weakness of their social foundation of science culture.

Anesthesia 2.0: internet-based information resources and Web 2.0 applications in anesthesia education.

PubMed

Chu, Larry F; Young, Chelsea; Zamora, Abby; Kurup, Viji; Macario, Alex

2010-04-01

Informatics is a broad field encompassing artificial intelligence, cognitive science, computer science, information science, and social science. The goal of this review is to illustrate how Web 2.0 information technologies could be used to improve anesthesia education. Educators in all specialties of medicine are increasingly studying Web 2.0 technologies to maximize postgraduate medical education of housestaff. These technologies include microblogging, blogs, really simple syndication (RSS) feeds, podcasts, wikis, and social bookmarking and networking. 'Anesthesia 2.0' reflects our expectation that these technologies will foster innovation and interactivity in anesthesia-related web resources which embraces the principles of openness, sharing, and interconnectedness that represent the Web 2.0 movement. Although several recent studies have shown benefits of implementing these systems into medical education, much more investigation is needed. Although direct practice and observation in the operating room are essential, Web 2.0 technologies hold great promise to innovate anesthesia education and clinical practice such that the resident learner need not be in a classroom for a didactic talk, or even in the operating room to see how an arterial line is properly placed. Thoughtful research to maximize implementation of these technologies should be a priority for development by academic anesthesiology departments. Web 2.0 and advanced informatics resources will be part of physician lifelong learning and clinical practice.

Social Anthropology and Social Science History

PubMed Central

2015-01-01

In the 1970s, when the social science history movement emerged in the United States, leading to the founding of the Social Science History Association, a simultaneous movement arose in which historians looked to cultural anthropology for inspiration. Although both movements involved historians turning to social sciences for theory and method, they reflected very different views of the nature of the historical enterprise. Cultural anthropology, most notably as preached by Clifford Geertz, became a means by which historians could find a theoretical basis in the social sciences for rejecting a scientific paradigm. This article examines this development while also exploring the complex ways cultural anthropology has embraced—and shunned—history in recent years. PMID:26549914

Transportation Energy Conservation Policy: Implications for Social Science Research.

ERIC Educational Resources Information Center

Zerega, Anne Marie

1981-01-01

Examines the role social science plays in federal transportation energy conservation policy; assesses the current forms and degree of consideration of social issues in transportation energy policy; and identifies contributions that the social sciences could make in achieving energy conservation goals. (Author/MK)

Higher Education and Employment: The Changing Relationship. The Case of the Humanities and Social Science. Country Study: Sweden.

ERIC Educational Resources Information Center

Andersson, Dan; And Others

This report, one of a series of country studies on higher education and employment, particularly in the humanities and social sciences, looks at employment for social science and humanities graduates in Sweden. Following an introduction in section 1, section 2 offers a short description of the evolution of humanities and social sciences in Swedish…

Social Sciences in Asia II: Afghanistan, Indonesia, Japan, Republic of Korea, Nepal. Reports and Papers in the Social Sciences, No. 33.

ERIC Educational Resources Information Center

United Nations Educational, Scientific, and Cultural Organization, Paris (France).

The document focuses on social science teaching and research in Afghanistan, Japan, Indonesia, Korea, and Nepal. One chapter is devoted to each of the five nations. The first chapter suggests that social science has not played a major role in the socioeconomic development of Afghanistan because most Afghans favor traditional ways of thinking. The…

Early Careers of Recent U.S. Social Science PhDs

ERIC Educational Resources Information Center

Morrison, Emory; Rudd, Elizabeth; Nerad, Maresi

2011-01-01

In this article, we analyse findings of the largest, most comprehensive survey of the career paths of social science PhD graduates to date, "Social Science PhDs--Five+Years Out (SS5)". "SS5" surveyed more than 3,000 graduates of U.S. PhD programmes in six social science fields six to ten years after earning their PhD. The…

Policy Towards Social Sciences in Asia and Oceania. Report on the Meeting of Experts. Manila, Philippines, 3-7 April 1978.

ERIC Educational Resources Information Center

United Nations Educational, Scientific, and Cultural Organization, Bangkok (Thailand). Regional Office for Education in Asia and Oceania.

The document reports on a meeting of Asian social science policy experts sponsored by UNESCO. The objectives of the meeting were to review the basic elements of the social science policies of countries in Asia and Oceania, to examine the feasibility of establishing a Regional Centre for Social Science Research, and to make recommendations for…

Social Sciences in Asia III: Burma, Mongolia, New Zealand, The Philippines, Singapore. Reports and Papers in the Social Sciences, No. 35.

ERIC Educational Resources Information Center

United Nations Educational, Scientific, and Cultural Organization, Paris (France).

Part of a series which provides overviews of social science research and teaching in UNESCO member nations, the document focuses on Burma, Mongolia, New Zealand, Philippines, and Singapore. One chapter is devoted to each of the five nations. For each country, the following information is presented: history of social science activity, institutional…

Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis and computer science

NASA Technical Reports Server (NTRS)

1987-01-01

Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis, and computer science during the period April, 1986 through September 30, 1986 is summarized.

78 FR 10180 - Annual Computational Science Symposium; Conference

Federal Register 2010, 2011, 2012, 2013, 2014

2013-02-13

...] Annual Computational Science Symposium; Conference AGENCY: Food and Drug Administration, HHS. ACTION... Computational Science Symposium.'' The purpose of the conference is to help the broader community align and share experiences to advance computational science. At the conference, which will bring together FDA...

Using Science to Take a Stand: Action-Oriented Learning in an Afterschool Science Club

NASA Astrophysics Data System (ADS)

Hagenah, Sara

This dissertation study investigates what happens when students participate in an afterschool science club designed around action-oriented science instruction, a set of curriculum design principles based on social justice pedagogy. Comprised of three manuscripts written for journal publication, the dissertation includes 1) Negotiating community-based action-oriented science teaching and learning: Articulating curriculum design principles, 2) Middle school girls' socio-scientific participation pathways in an afterschool science club, and 3) Laughing and learning together: Productive science learning spaces for middle school girls. By investigating how action-oriented science design principles get negotiated, female identity development in and with science, and the role of everyday social interactions as students do productive science, this research fills gaps in the understanding of how social justice pedagogy gets enacted and negotiated among multiple stakeholders including students, teachers, and community members along what identity development looks like across social and scientific activity. This study will be of interest to educators thinking about how to enact social justice pedagogy in science learning spaces and those interested in identity development in science.

NCI's High Performance Computing (HPC) and High Performance Data (HPD) Computing Platform for Environmental and Earth System Data Science

NASA Astrophysics Data System (ADS)

Evans, Ben; Allen, Chris; Antony, Joseph; Bastrakova, Irina; Gohar, Kashif; Porter, David; Pugh, Tim; Santana, Fabiana; Smillie, Jon; Trenham, Claire; Wang, Jingbo; Wyborn, Lesley

2015-04-01

The National Computational Infrastructure (NCI) has established a powerful and flexible in-situ petascale computational environment to enable both high performance computing and Data-intensive Science across a wide spectrum of national environmental and earth science data collections - in particular climate, observational data and geoscientific assets. This paper examines 1) the computational environments that supports the modelling and data processing pipelines, 2) the analysis environments and methods to support data analysis, and 3) the progress so far to harmonise the underlying data collections for future interdisciplinary research across these large volume data collections. NCI has established 10+ PBytes of major national and international data collections from both the government and research sectors based on six themes: 1) weather, climate, and earth system science model simulations, 2) marine and earth observations, 3) geosciences, 4) terrestrial ecosystems, 5) water and hydrology, and 6) astronomy, social and biosciences. Collectively they span the lithosphere, crust, biosphere, hydrosphere, troposphere, and stratosphere. The data is largely sourced from NCI's partners (which include the custodians of many of the major Australian national-scale scientific collections), leading research communities, and collaborating overseas organisations. New infrastructures created at NCI mean the data collections are now accessible within an integrated High Performance Computing and Data (HPC-HPD) environment - a 1.2 PFlop supercomputer (Raijin), a HPC class 3000 core OpenStack cloud system and several highly connected large-scale high-bandwidth Lustre filesystems. The hardware was designed at inception to ensure that it would allow the layered software environment to flexibly accommodate the advancement of future data science. New approaches to software technology and data models have also had to be developed to enable access to these large and exponentially increasing data volumes at NCI. Traditional HPC and data environments are still made available in a way that flexibly provides the tools, services and supporting software systems on these new petascale infrastructures. But to enable the research to take place at this scale, the data, metadata and software now need to evolve together - creating a new integrated high performance infrastructure. The new infrastructure at NCI currently supports a catalogue of integrated, reusable software and workflows from earth system and ecosystem modelling, weather research, satellite and other observed data processing and analysis. One of the challenges for NCI has been to support existing techniques and methods, while carefully preparing the underlying infrastructure for the transition needed for the next class of Data-intensive Science. In doing so, a flexible range of techniques and software can be made available for application across the corpus of data collections available, and to provide a new infrastructure for future interdisciplinary research.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hules, John

This 1998 annual report from the National Scientific Energy Research Computing Center (NERSC) presents the year in review of the following categories: Computational Science; Computer Science and Applied Mathematics; and Systems and Services. Also presented are science highlights in the following categories: Basic Energy Sciences; Biological and Environmental Research; Fusion Energy Sciences; High Energy and Nuclear Physics; and Advanced Scientific Computing Research and Other Projects.

Social Networking Adapted for Distributed Scientific Collaboration

NASA Technical Reports Server (NTRS)

Karimabadi, Homa

2012-01-01

Share is a social networking site with novel, specially designed feature sets to enable simultaneous remote collaboration and sharing of large data sets among scientists. The site will include not only the standard features found on popular consumer-oriented social networking sites such as Facebook and Myspace, but also a number of powerful tools to extend its functionality to a science collaboration site. A Virtual Observatory is a promising technology for making data accessible from various missions and instruments through a Web browser. Sci-Share augments services provided by Virtual Observatories by enabling distributed collaboration and sharing of downloaded and/or processed data among scientists. This will, in turn, increase science returns from NASA missions. Sci-Share also enables better utilization of NASA s high-performance computing resources by providing an easy and central mechanism to access and share large files on users space or those saved on mass storage. The most common means of remote scientific collaboration today remains the trio of e-mail for electronic communication, FTP for file sharing, and personalized Web sites for dissemination of papers and research results. Each of these tools has well-known limitations. Sci-Share transforms the social networking paradigm into a scientific collaboration environment by offering powerful tools for cooperative discourse and digital content sharing. Sci-Share differentiates itself by serving as an online repository for users digital content with the following unique features: a) Sharing of any file type, any size, from anywhere; b) Creation of projects and groups for controlled sharing; c) Module for sharing files on HPC (High Performance Computing) sites; d) Universal accessibility of staged files as embedded links on other sites (e.g. Facebook) and tools (e.g. e-mail); e) Drag-and-drop transfer of large files, replacing awkward e-mail attachments (and file size limitations); f) Enterprise-level data and messaging encryption; and g) Easy-to-use intuitive workflow.

Social Science Curriculum Guide and Selected Multi-Media, 10-12.

ERIC Educational Resources Information Center

Gaydosh, Ronald

GRADES OR AGES: Grades 10-12. SUBJECT MATTER: Social science. ORGANIZATION AND PHYSICAL APPEARANCE: The extensive introductory material includes rationale, definitions of the social science core disciplines, glossary of terms, and descriptions of concepts. The course material includes political science, history, economics, geography, sociology,…

The Employment Outlook for Social Science Majors in the South.

ERIC Educational Resources Information Center

Galambos, Eva C.

This assessment of the future job market for social science graduates is made both generically and separately for certain disciplines. The definition of the social sciences follows the USOE definition and includes: anthropology, archeology, economics, history, geography, political science, sociology, criminology, international relations, urban…

A Comparative Study of the Quality of Teaching Learning Process at Post Graduate Level in the Faculty of Science and Social Science

ERIC Educational Resources Information Center

Shahzadi, Uzma; Shaheen, Gulnaz; Shah, Ashfaque Ahmed

2012-01-01

The study was intended to compare the quality of teaching learning process in the faculty of social science and science at University of Sargodha. This study was descriptive and quantitative in nature. The objectives of the study were to compare the quality of teaching learning process in the faculty of social science and science at University of…

Enduring Influence of Stereotypical Computer Science Role Models on Women's Academic Aspirations

ERIC Educational Resources Information Center

Cheryan, Sapna; Drury, Benjamin J.; Vichayapai, Marissa

2013-01-01

The current work examines whether a brief exposure to a computer science role model who fits stereotypes of computer scientists has a lasting influence on women's interest in the field. One-hundred undergraduate women who were not computer science majors met a female or male peer role model who embodied computer science stereotypes in appearance…

A Web of Resources for Introductory Computer Science.

ERIC Educational Resources Information Center

Rebelsky, Samuel A.

As the field of Computer Science has grown, the syllabus of the introductory Computer Science course has changed significantly. No longer is it a simple introduction to programming or a tutorial on computer concepts and applications. Rather, it has become a survey of the field of Computer Science, touching on a wide variety of topics from digital…

Dynamics of co-authorship and productivity across different fields of scientific research.

PubMed

Parish, Austin J; Boyack, Kevin W; Ioannidis, John P A

2018-01-01

We aimed to assess which factors correlate with collaborative behavior and whether such behavior associates with scientific impact (citations and becoming a principal investigator). We used the R index which is defined for each author as log(Np)/log(I1), where I1 is the number of co-authors who appear in at least I1 papers written by that author and Np are his/her total papers. Higher R means lower collaborative behavior, i.e. not working much with others, or not collaborating repeatedly with the same co-authors. Across 249,054 researchers who had published ≥30 papers in 2000-2015 but had not published anything before 2000, R varied across scientific fields. Lower values of R (more collaboration) were seen in physics, medicine, infectious disease and brain sciences and higher values of R were seen for social science, computer science and engineering. Among the 9,314 most productive researchers already reaching Np ≥ 30 and I1 ≥ 4 by the end of 2006, R mostly remained stable for most fields from 2006 to 2015 with small increases seen in physics, chemistry, and medicine. Both US-based authorship and male gender were associated with higher values of R (lower collaboration), although the effect was small. Lower values of R (more collaboration) were associated with higher citation impact (h-index), and the effect was stronger in certain fields (physics, medicine, engineering, health sciences) than in others (brain sciences, computer science, infectious disease, chemistry). Finally, for a subset of 400 U.S. researchers in medicine, infectious disease and brain sciences, higher R (lower collaboration) was associated with a higher chance of being a principal investigator by 2016. Our analysis maps the patterns and evolution of collaborative behavior across scientific disciplines.

Social behavior in the "Age of Empathy"?-A social scientist's perspective on current trends in the behavioral sciences.

PubMed

Matusall, Svenja

2013-01-01

Recently, several behavioral sciences became increasingly interested in investigating biological and evolutionary foundations of (human) social behavior. In this light, prosocial behavior is seen as a core element of human nature. A central role within this perspective plays the "social brain" that is not only able to communicate with the environment but rather to interact directly with other brains via neuronal mind reading capacities such as empathy. From the perspective of a sociologist, this paper investigates what "social" means in contemporary behavioral and particularly brain sciences. It will be discussed what "social" means in the light of social neuroscience and a glance into the history of social psychology and the brain sciences will show that two thought traditions come together in social neuroscience, combining an individualistic and an evolutionary notion of the "social." The paper concludes by situating current research on prosocial behavior in broader social discourses about sociality and society, suggesting that to naturalize prosocial aspects in human life is a current trend in today's behavioral sciences and beyond.

Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis and computer science

NASA Technical Reports Server (NTRS)

1988-01-01

This report summarizes research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis, and computer science during the period April l, 1988 through September 30, 1988.

Summary of research in applied mathematics, numerical analysis and computer science at the Institute for Computer Applications in Science and Engineering

NASA Technical Reports Server (NTRS)

1984-01-01

Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis and computer science during the period October 1, 1983 through March 31, 1984 is summarized.

Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis and computer science

NASA Technical Reports Server (NTRS)

1987-01-01

Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis, and computer science during the period October 1, 1986 through March 31, 1987 is summarized.

High school computer science education paves the way for higher education: the Israeli case

NASA Astrophysics Data System (ADS)

Armoni, Michal; Gal-Ezer, Judith

2014-07-01

The gap between enrollments in higher education computing programs and the high-tech industry's demands is widely reported, and is especially prominent for women. Increasing the availability of computer science education in high school is one of the strategies suggested in order to address this gap. We look at the connection between exposure to computer science in high school and pursuing computing in higher education. We also examine the gender gap, in the context of high school computer science education. We show that in Israel, students who took the high-level computer science matriculation exam were more likely to pursue computing in higher education. Regarding the issue of gender, we will show that, in general, in Israel the difference between males and females who take computer science in high school is relatively small, and a larger, though still not very large difference exists only for the highest exam level. In addition, exposing females to high-level computer science in high school has more relative impact on pursuing higher education in computing.

78 FR 15745 - Proposal Review Panel for Social and Economic Sciences; Notice of Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2013-03-12

... NATIONAL SCIENCE FOUNDATION Proposal Review Panel for Social and Economic Sciences; Notice of... Science Foundation (NSF) announces the following Site Visit. Name: Proposal Review Panel for Social and Economic Sciences, 10748. Date and Time: March 21, 2013 8:30 a.m. to 5:00 p.m., March 22, 2013 8:00 a.m. to...

Defining Computational Thinking for Mathematics and Science Classrooms

NASA Astrophysics Data System (ADS)

Weintrop, David; Beheshti, Elham; Horn, Michael; Orton, Kai; Jona, Kemi; Trouille, Laura; Wilensky, Uri

2016-02-01

Science and mathematics are becoming computational endeavors. This fact is reflected in the recently released Next Generation Science Standards and the decision to include "computational thinking" as a core scientific practice. With this addition, and the increased presence of computation in mathematics and scientific contexts, a new urgency has come to the challenge of defining computational thinking and providing a theoretical grounding for what form it should take in school science and mathematics classrooms. This paper presents a response to this challenge by proposing a definition of computational thinking for mathematics and science in the form of a taxonomy consisting of four main categories: data practices, modeling and simulation practices, computational problem solving practices, and systems thinking practices. In formulating this taxonomy, we draw on the existing computational thinking literature, interviews with mathematicians and scientists, and exemplary computational thinking instructional materials. This work was undertaken as part of a larger effort to infuse computational thinking into high school science and mathematics curricular materials. In this paper, we argue for the approach of embedding computational thinking in mathematics and science contexts, present the taxonomy, and discuss how we envision the taxonomy being used to bring current educational efforts in line with the increasingly computational nature of modern science and mathematics.

Science and Society: Knowing, Teaching, Learning. Bulletin 57.

ERIC Educational Resources Information Center

Charles, Cheryl, Ed.; Samples, Bob, Ed.

The document presents 12 essays dealing with social implications of science-related issues. Intended for use by social studies/social science educators, the book focuses on curriculum, instruction, and learning environments as well as on intellectual issues related to science and society. The essays are organized into four sections. Section I…

Social Media, Open Science, and Data Science Are Inextricably Linked.

PubMed

Voytek, Bradley

2017-12-20

Should scientists use social media? Why practice open science? What is data science? Ten years ago, these phrases hardly existed. Now they are ubiquitous. Here I argue that these phenomena are inextricably linked and reflect similar underlying social and technological transformations. Copyright © 2017 Elsevier Inc. All rights reserved.

Fort Collins Science Center- Policy Analysis and Science Assistance Branch : Integrating social, behavioral, economic and biological sciences

USGS Publications Warehouse

2010-01-01

The Fort Collins Science Center's Policy Analysis and Science Assistance (PASA) Branch is a team of approximately 22 scientists, technicians, and graduate student researchers. PASA provides unique capabilities in the U.S. Geological Survey by leading projects that integrate social, behavioral, economic, and biological analyses in the context of human-natural resource interactions. Resource planners, managers, and policymakers in the U.S. Departments of the Interior (DOI) and Agriculture (USDA), State and local agencies, as well as international agencies use information from PASA studies to make informed natural resource management and policy decisions. PASA scientists' primary functions are to conduct both theoretical and applied social science research, provide technical assistance, and offer training to advance performance in policy relevant research areas. Management and research issues associated with human-resource interactions typically occur in a unique context, involve difficult to access populations, require knowledge of both natural/biological science in addition to social science, and require the skill to integrate multiple science disciplines. In response to these difficult contexts, PASA researchers apply traditional and state-of-the-art social science methods drawing from the fields of sociology, demography, economics, political science, communications, social-psychology, and applied industrial organization psychology. Social science methods work in concert with our rangeland/agricultural management, wildlife, ecology, and biology capabilities. The goal of PASA's research is to enhance natural resource management, agency functions, policies, and decision-making. Our research is organized into four broad areas of study.

Foundations of “new” social science: Institutional legitimacy from philosophy, complexity science, postmodernism, and agent-based modeling

PubMed Central

Henrickson, Leslie; McKelvey, Bill

2002-01-01

Since the death of positivism in the 1970s, philosophers have turned their attention to scientific realism, evolutionary epistemology, and the Semantic Conception of Theories. Building on these trends, Campbellian Realism allows social scientists to accept real-world phenomena as criterion variables against which theories may be tested without denying the reality of individual interpretation and social construction. The Semantic Conception reduces the importance of axioms, but reaffirms the role of models and experiments. Philosophers now see models as “autonomous agents” that exert independent influence on the development of a science, in addition to theory and data. The inappropriate molding effects of math models on social behavior modeling are noted. Complexity science offers a “new” normal science epistemology focusing on order creation by self-organizing heterogeneous agents and agent-based models. The more responsible core of postmodernism builds on the idea that agents operate in a constantly changing web of interconnections among other agents. The connectionist agent-based models of complexity science draw on the same conception of social ontology as do postmodernists. These recent developments combine to provide foundations for a “new” social science centered on formal modeling not requiring the mathematical assumptions of agent homogeneity and equilibrium conditions. They give this “new” social science legitimacy in scientific circles that current social science approaches lack. PMID:12011408

Social Sciences and Dentistry: A Critical Bibliography.

ERIC Educational Resources Information Center

Richards, N. David, Ed.; Cohen Lois K., Ed.

This bibliographic review of social sciences studies in the field of dentistry is a result of the collaboration of dentists and social and behavioral scientists who volunteered manuscripts to the Commission on Dental Practice of the Federation Dentaire Internationale. The manuscript topics include: (1) social science research on the dental…