The authors of this report explore the use of agent-based modeling as a method for studying the effects of information and communications technologies on the formation, maintenance, and dissolution of social movements over time.
Aug 16, 2022
Rushil Zutshi (he/him) is a doctoral candidate at the Pardee RAND Graduate School and an assistant policy researcher at RAND. His interests include the applications of innovative methodologies in behavioral health, health equity, and social movements.
At RAND he works on health policy and social networks using a broad range of methods including agent-based models, quasi-experimental methods, as well as RCTs (locally and internationally). One part of his dissertation is an experimental study focused on understanding the caste and religion-based differences in healthcare delivery in rural India while the other part is focused on developing a game theory model to explain the social network effects of the #MeToo movement.
Prior to joining RAND, Zutshi worked as a research intern at the Center for Study of Science, Technology and Policy in India. There, his work comprised conducting feasibility studies and risk analysis studies for micro-grid installations in rural India. His other work includes gauging the techno-economic feasibility of a wirelessly charged electric bus system in Pittsburgh, PA.
Zutshi holds a B.Tech. in electrical and electronics engineering from VIT University, India, as well as an M.S. in energy science and policy from Carnegie Mellon University.