Computational social sciences
The ability to access data about individuals, communities, events—and the natural, built, and virtual environments in which they unfold—is transforming research in the social sciences. Many of the discipline’s most important theoretical breakthroughs will involve data interactions, relationships, and dependencies yet to be explored across the fields within social science.
The division’s new Committee on Computational Social Science will develop workshops and coursework for students preparing to pursue questions that require computational skills. Your support will enable the division to develop programs that will draw graduate students with exceptional quantitative skills from fields such as computer science, applied mathematics, and physics into the social sciences.
These scholars, the next generation of leaders in the social sciences, will need to access a flexible research platform with powerful modeling tools in order to engage lines of inquiry ranging from density of social networks to the analysis of image and audio data to using infrastructure data to improve urban life. Gifts can provide divisional faculty the resources they need to integrate these new methods in their teaching and research.