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Public Health Data Science: The Next Decade

Past

Feb 29, 2024

1:00-2:30 p.m. ET

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This program explored the evolution of data science in the context of public health. What statistical methods are used to shape and inform population health research? Where is the field heading in the next decade and what methodological improvements can we make to strengthen public health research, analysis, and recommendations?

This event was cohosted with the BUSPH Population Health Data Science Program and the Boston University Faculty of Computing and Data Science.

Speakers

Melody S. Goodman

Melody S. Goodman

Senior Executive Vice Dean; Professor of Biostatistics, New York University School of Global Public Health

Yulin Hswen

Yulin Hswen

Assistant Professor of Epidemiology and Biostatistics, UCSF School of Medicine

Michael R. Kosorok

Michael R. Kosorok

W. R. Kenan, Jr. Distinguished Professor of Biostatistics; Professor of Statistics and Operations Research, UNC-Chapel Hill

Nathan Lo

Nathan Lo

Assistant Professor of Infectious Diseases, Stanford University

Daniela M. Witten

Daniela M. Witten

Professor of Statistics and Biostatistics; Dorothy Gilford Endowed Chair of Mathematical Statistics, University of Washington

Debbie M. Cheng

Debbie M. Cheng

Professor of Biostatistics; Director of the Population Health Data Science Program, Boston University School of Public Health

Resources

Transcript_Public Health Data Science The Next Decade