2023 Data Science Summit

We were pleased to host the 2023 Data Science for Public Health Summit at the Columbia Mailman School of Public Health. Dr. Sherri Rose from Stanford gave The Data Science for Public Health Distinguished Lecture on January 12th. On January 13th, we had the opening Keynote address from Dr. Xihong Lin from Harvard T.H. Chan School of Public Health, followed by a day of in-depth discussions about the unique features of public health that demand tailoring of data science approaches. Participants examined the required infrastructure needs for public health research, the educational needs for MPH and PhD students and for the existing workforce, and the ethical issues surrounding the use of data science in population health. You can read more about the event here and see videos below. 

Distinguished Lecture Series in Data Science
Algorithmic Bias and Machine Learning in Health Care

Thursday, January 12, 2023

Sherri Rose, PhD​ is a Professor of Health Policy and Co-Director of the Health Policy Data Science Lab at Stanford University.

 

Algorithmic Bias and Machine Learning in Health Care

Data Science FOR Public Health Summit

Friday, January 13, 2023

Distinguished Keynote Address
Lessons Learned from the COVID-19 Pandemic: A Statistician’s Reflection
Xihong Lin, PhD​ is Professor of the Department of Biostatistics, Coordinating Director of the Program in Quantitative Genomics at the Harvard T. H. Chan School of Public Health, and Professor of the Department of Statistics at the Faculty of Arts and Sciences of Harvard University, and Associate Member of the Broad Institute of MIT and Harvard.

 

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2023 Agenda: 

8:00     Continental Breakfast and Check-In Opens   

9:00    Welcome  
Moderator: Today’s Objectives and Goals for the Summit  - Dr. Gary W. Miller, Vice Dean for Research Strategy and Innovation, Columbia Mailman School of Public Health
Welcoming Remarks: Public Health in Data Science - Dr. Linda P. Fried, Dean and DeLamar Professor, Columbia Mailman School of Public Health
Introductory Remarks: Research Computing at Columbia -  Dr. Jeannette M. Wing, Executive Vice President for Research, Columbia University  

9:15    Keynote 
Lessons Learned from the COVID-19 Pandemic: A Statistician’s Reflection - Dr. Xihong Lin, Professor of Biostatistics, Harvard T.H. Chan School of Public Health 
Introduction - Dr. Kiros Berhane, Chair of Biostatistics, Columbia Mailman School of Public Health  

10:00     Networking Break - Coffee & tea
 
10:30     Session 1: Research Infrastructure for Data Science in Public Health Research
Moderator & Introduction: Dr. Gary Miller, Vice Dean for Research Strategy and Innovation, Columbia Mailman
Introduction: Dr. Clifford Stein 
Panelists:  Dr. Shing Lee, Dr. Andrew Rundle, Dr. Ying Wei
Discussants: Dr. Pam Factor-Litvak, Dr. George Hripcsak, Dr. Muredach Reilly,  Sharon Sputz, Elizabeth Tashiro 
Attendee: Rebecca Yohannes 

12:00    Networking Lunch  
                                                     
1:15    Session 2: Education in Data Science in Public Health
Moderator: Dr. Jeff Goldsmith
Introduction: Dr. Tiffany Sanchez/Dr. Andrea Baccarelli, Dr. Jeanette Stingone
Panelists: Dr. Sam Garbers, Dr. Matt Lamb, Dr. Yifei Sun

2:45    Networking Break - Coffee & tea

3:15      Session 3: Ethics in Data Science and Public Health Challenges
Moderator: Dr. Kathleen Sikkema
Introduction: Dr. Dan Malinsky
Panelists: Dr. Merlin Chowkwanyun,  Dr. Thalia Porteny, Dr. Goleen Samari

4:45     Closing     
Future Directions, Next Steps -  Dr. Gary W. Miller
                                                                                           
5:00    Summit Reception Begins

6:00    Event Adjourns