Join exclusive 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
Julia Lane is a Professor at the NYU Wagner Graduate School of Public Service. She was a senior advisor in the Office of the Federal CIO at the White House, supporting the implementation of the Federal Data Strategy. She cofounded the Coleridge Initiative, whose goal is to use data to transform the way governments access and use data for the social good through training programs, research projects and a secure data facility.
