Modern computational methods provide unique opportunities for social science research: 1) they allow for the study of complex social systems and theories through sophisticated empirical analyses of large datasets, 2) digitize traditional data sources, i.e., maps, texts, surveys, interviews, etc., and enable frequent data collection in a cost-efficient manner; 3) data visualization and dissemination; and 4) scale lab-based/field-based policy solutions and recommendations to effective real-world interventions.
Advances in computational and statistical methods provide immense potential for new opportunities for research in Economics, Sociology, Political Science and Psychology, along with a fresh set of challenges. Computational tools and methods are now commonly employed, both nationally and globally, for policy design and implementation, poll predictions, civic activism and citizen participation, and devising market mechanisms for commodity trade. Academic research and education in these interdisciplinary areas have also gained momentum in recent years. The 2018 workshop at IIIT-Delhi will provide scholars with a platform to explore research possibilities in computational social sciences, especially in the Indian context.