Next in (Data) Science | Part 2

Thursday, May 17, 2018

Next in (Data) Science | Part 2 | Radcliffe Institute

The Next in Science Series provides an opportunity for early-career scientists whose innovative, cross-disciplinary research is thematically linked to introduce their work to one another, to fellow scientists, and to nonspecialists from Harvard and the greater Boston area.

This year's program focuses on innovative applications of data science to a wide range of disciplines. The speakers' talks demonstrate how data science approaches have become critical to a variety of fields, including social media, the movie industry, public health, and the study of the origins of our universe.

Introduction
Alyssa A. Goodman, faculty codirector of the science program, Radcliffe Institute for Advanced Study, and Robert Wheeler Willson Professor of Applied Astronomy, Faculty of Arts and Sciences, Harvard University

(3:29) "From Data to Decisions: An Epidemiological Atlas to Prevent Childhood Infections"
Saki Takahashi, graduate fellow, Metcalf Lab, Princeton University

(31:48) "Seeing the Light for the Stars: Using Machine Learning to Discover New Astronomical Events"
Renée Hložek, professor of astrophysics, Dunlap Institute, University of Toronto

(52:25) Discussion and Audience Q&A