TDAI's Responsible Data Science community of practice will host TDAI core faculty member Macarius Donneyong, assistant professor, College of Pharmacy, Sean Hill, assistant professor, Moritz College of Law, and TDAI affiliate faculty member Andrew Perrault, assistant professor, Computer Science & Engineering, as they present a panel discussion.
The event will be hybrid.
Topics:
Dr. Donneyong will focus on the role and application of ML/AI methods in the field of pharmacoepidemiology. In his talk, he will provide use case examples on how he is applying ML methods to investigate adverse drug events potentially due to drug-drug interactions. He will also talk about the application of ML methods to advance health disparities research with a focus on risk prediction of suicide risk and medication nonadherence.
Dr, Hill's remarks will pertain to algorithmic risk assessment, race, and abolition.
Dr. Perrault will present recent and “nearly finished” work on inferring causal structure from large, spatial temporal, observational data in multi-agent, sequential environments. His team leverages machine learning methods to predict environment dynamics. This project was motivated by the question of how ranger patrolling impacts poacher behavior in conservation areas, which is important for making resource deployment decisions to maximize area-level objectives.
