Traditional social sciences, though comprehensive, have often struggled to handle large-scale, complex societal dynamics due to limitations in data collection, analysis, and model complexity. However, the advent of big data, high-speed computation, and advanced machine learning algorithms, along with the ongoing digitalization of human interactions, presents us with an unprecedented opportunity to understand the social world in its full complexity.
In his talk, Dr. Joshi will provide an overview of the computational social sciences, a field which integrates the robust theoretical frameworks of traditional social sciences with the analytical power of computational tools. He will discuss how these novel methodologies can help us in predicting, explaining and shaping social phenomena at scales never imagined before.
Dr. Joshi will touch upon key areas such as computational models of social phenomena, social network analysis, digital behavioral data, and complex system analysis. He will also present fascinating case studies, where these methods have led to insightful findings and impactful business and policy decisions.
Moreover, Dr. Joshi will illustrate why he believes that the computational turn in social sciences represents the next frontier in the field. He will make a compelling argument about how the fusion of data and theory can empower social scientists to not only better understand societal phenomena, but also to influence them in meaningful ways.
This talk will provide a stimulating exploration for all faculty members interested in the future of social sciences. It will encourage us to think beyond traditional boundaries and to consider how computational tools can be harnessed to enhance our understanding of the complex social world.