The International Conference on Social Computing, Behavioral Modeling, and Prediction provides an interdisciplinary platform to encourage researchers of traditionally disjoint fields such as sociology, psychology, behavioral science, cognitive science, mathematics, computer science, religious studies, and engineering to exchange ideas and findings, enhance mutual understanding of state‐of‐the art development in individual fields, develop cross‐discipline awareness, promote collaborative research opportunities, and offer a conducive environment for graduate students.
In the last few years, the emergence of the social web has had a profound influence on computing and on society. A pertinent example stems from social networks where individuals from various cultural and social backgrounds interact and exchange information. In such a scenario, it will be useful to understand the development of such social networks and the behavior of individuals who are part of such networks to gain insight into different cultures and patterns of social behavior that can form the basis for predictive models. The focus of this workshop is not only on applications pf social computing but also on the encompassing research from varied areas that can provide insight. Computer scientists are key members of this community of researchers but social scientists are integral as well.
This is the third event in a series on this topic and it has developed into an international conference. The conference provides a common ground for emerging research topics in the area. This conference will create awareness among the community about the uses of such research to various areas and will result in a proceedings published as a book by Springer.
(SBP10) was held in March 30-31, 2010, Natcher Conference Cneter, NIH Main Campus, Bethesda, Maryland. Social computing harnesses the power of computational methods to study social behavior and social context. Behavioral modeling refers to representing behavior in the abstract and is a convenient and powerful way to conduct virtual experiments and scenario planning. Both social computing and behavioral modeling are techniques designed to achieve a better understanding of complex behaviors, patterns, and associated outcomes of interest. These approaches are inherently interdisciplinary and cross disparate disciplines and require collaborative efforts to take advantage of the state-of-the-art research in order to document lessons learned and develop novel theories, experiments, and methodologies in terms of social, physical, psychological, and governmental mechanisms. This conference offers an opportunity for behavioral and social science researchers to come together with computational and computer scientists and other related disciplines and seeks to attract researchers, practitioners, program staff from federal agencies and graduate students in disciplines such as sociology, behavioral science, psychology, cultural study, health sciences, economics, computer science, engineering, information systems, physics, and operations research. The conference program includes invited speakers from government, industry, and academia, research presentations and discussions, poster and paper sessions in addition to focused pre-conference tutorial sessions and post-conference cross-fertilization workshop. Conference Program and Presenations including Keynote and Invited Talks and Tutorials are found at http://sbp.asu.edu/sbp2010/sbp10.html
