Join online sessions from the Data Science for Social Good (DSSG) lecture series for free!
Data Science for Social Good (DSSG) is a two month fellowship program of aspiring talents in the area of Data Science to work on projects with a positive societal impact. In the DSSGx Munich 2023 Lecture Series, top researchers and experts share their insight on the application of data science for social good. Parts of this series can be attended online for free.
All open online sessions of the DSSGx Munich 2023 lecture series:
August 17, 2023: DSSG Berlin (Hasan Shaukat)
August 24, 2023: Democratizing our Data (Julia Lane)
August 31, 2023: Responsible AI to Benefit Society (Kit Rodolfa)
September 14, 2023: Open Science @ MCML (Moritz Herrmann)
September 21, 2023: Analyzing Open-ended (Audio) Survey Responses: Insights from a research project (Paul Bauer)
About the Instructor
Kit Rodolfa is the Research Director at the Regulation, Evaluation, and Governance Lab (RegLab) at Stanford, working at the intersection of machine learning and public policy on using novel computational tools to modernize government and benefit society. His research interests include the bias, fairness, and interpretability of machine learning methods, as well as understanding and filling gaps between the theory and practice of machine learning.
