The Bright Future of Applied Statistics | 2024 Data Science for Public Health Summit
On January 11, 2024, Columbia University Mailman School of Public Health held the third Data Science in Public Health Summit. Dr. Rafael Irizarry gave the keynote address, "The Bright Future of Applied Statistics."
This year's event showcased the innovative ways that data scientists are using emerging quantitative techniques to address public health challenges, from climate change to cancer to the health risks of beauty products and more. The event also considered challenges and opportunities in the fast-moving field.
Read about it in "Data Science Summit Spotlights the Quantitative Cutting Edge" (https://www.publichealth.columbia.edu....
Gary W. Miller, PhD, Vice Dean for Research Strategy and Innovation, Columbia Mailman School of Public Health | Objectives and Goals for the Summit | • The Bright Future of Applied Statistics | ...
Linda P. Fried, MD, MPH, Dean and DeLamar Professor, Columbia Mailman School of Public Health | Welcome Remarks: Public Health in Data Science | • The Bright Future of Applied Statistics | ...
Jeannette M. Wing, PhD, Executive Vice President for Research, Columbia University | Introductory Remarks: AI and ML Research at Columbia | • The Bright Future of Applied Statistics | ...
Kiros Berhane, PhD, Chair of Biostatistics, Columbia Mailman School of Public Health | Introduction to Keynote | • The Bright Future of Applied Statistics | ...
Rafael Irizarry, PhD | Keynote Presentation: The Bright Future of Applied Statistics | • The Bright Future of Applied Statistics | ...
The increasing need for data scientists has prompted universities to explore effective ways to train skilled professionals in this field. Yet, there's no clear agreement on the essential components - like foundational principles, expertise, skills, or knowledge - that constitute data science as an academic discipline. In my seminar, I'll begin by examining the role of academia, especially applied statisticians, in educating future data scientists. Following this, I'll share two or three examples from my research to illustrate the crucial role of statistical thinking in solving real-world problems.
Dr. Irizarry is a Professor of Applied Statistics at Harvard and the Dana-Farber Cancer Institute. He was recently named Chair of the Department of Data Sciences at the Dana-Farber Cancer Institute and is a Professor of Biostatistics at Harvard T.H. Chan School of Public Health.
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