CHP Events

This talk will provide a brief overview of Professor Saha’s work on the potential of measuring wellbeing using computational methods, drawing on social media and multimodal sensing. He will also raise critical questions about whether we are truly ready to deploy wellbeing sensing in real-world settings.

Koustuv Saha’s research interest is in social computing, computational social science, human-centered machine learning, and FATE (Fairness, Accountability, Transparency, and Ethics in AI). He adopts machine learning, natural language, and causal inference analysis to examine human behavior and wellbeing using different forms of digital data, including social media and multimodal sensing data. His work questions the underlying assumptions of data-driven inferences and the possible harms such inferences might lead to. His research is situated in an interdisciplinary and human-centered context and bears implications for various stakeholders. His work has been published in various venues and has been covered by several media outlets, including the New York Times, Vox, CBC Radio, NBC, 11Alive, the Hill, and the Commonwealth Times. He was previously a Senior Researcher at Microsoft Research, Montreal, in the FATE group. 

If this event is full when you try to register, please email chp@illinois.edu to be placed on a waitlist.