Data Science Day @ Columbia University

Data Science Day April 5 logo
Wednesday, April 5, 2017
9:00 AM - 5:00 PM
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THIRD ANNUAL DATA ON A MISSION EVENT

Join us for demos and lighting talks by Columbia researchers presenting their latest work in data science. The event is designed to foster collaboration between innovators in academia, industry and government.

AGENDA
8:00am Doors Open

9:00am Opening Remarks and Welcome

9:10am Lightning Talk Session I: Our Connected World
Suman Jana, Assistant Professor of Computer Science
Susan McGregor, Assistant Professor of Journalism; Assistant Director, Tow Center for Digital Journalism
Hollie Russon-Gilman, Lecturer in International and Public Affairs

9:55am Lightning Talk Session II: Applications of Data Science
Stefano Fusi, Associate Professor of Neuroscience
Andrew Gelman, Professor of Statistics and Political Science
Andreas Christian Mueller, Lecturer in the Discipline of Data Science
Mingoo Seok, Assistant Professor of Electrical Engineering

10:45am Keynote Speaker: Alfred Spector
Chief Technology Officer and Head of Engineering at Two Sigma
"Opportunities and Perils in Data Science"

11:35am Networking Lunch

12:20pm Lightning Talk Session III: Patient Driven Health Care
Kenrick Dwain Cato, Assistant Professor of Nursing
Ying Kuen K. Cheung, Professor of Biostatistics
Noemie Elhadad, Associate Professor of Biomedical Informatics

1:05pm Lightning Talk Session IV: Sharing Economy
Xuan Sharon Di, Assistant Professor of Civil Engineering and Engineering Mechanics
Constantinos Maglaras, David and Lyn Silfen Professor of Business
Eric L. Talley, Isidor and Seville Sulzbacher Professor of Law

2:00pm Live Demos and Poster Session

4:30pm Networking Reception
Download the Data Science Day mobile event guide to access the most up-to-date information about our event, including schedules, maps, and much more.

Get our guide here: https://guidebook.com/g/datascienceday2017
Event Contact Information:
Data Science Institute
212-854-5660
[email protected]
LOCATION:
  • Manhattanville
TYPE:
  • Symposium
CATEGORY:
  • Engineering
  • Graduate School of Arts and Sciences
EVENTS OPEN TO:
  • Alumni
  • Faculty
  • Postdocs
  • Prospective Students
  • Public
  • Staff
  • Students
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