Data Science Day 2024

Thursday, April 4, 2024 (8:00 AM – 5:00 PM)

Location: Alfred Lerner Hall, Columbia University Morningside Campus
Address: 2920 Broadway, New York, NY 10027

The Data Science Institute’s flagship annual event connects innovators in industry and government to Columbia researchers who are propelling advances across every sector with data science.

At Data Science Day, lightning talks from faculty and researchers showcase the breadth and depth of Columbia’s most innovative data science work; a keynote from an industry leader offers insight into the cutting edge; and more than 75 posters and demos give attendees the chance to engage directly with both accomplished faculty and the next generation of data scientists, including students and postdocs. 

Clifford Stein, Interim Director of The Data Science Institute; and Wai T. Chang Professor of Industrial Engineering and Operations Research and Professor of Computer Science at Columbia University, will be the master of ceremonies.

Register Here

2024 Keynote Speaker

Prabhakar Raghavan
Senior Vice President, Google

An industry leader and accomplished scholar, Raghavan is responsible for Google’s Knowledge & Information products, including Google Search, News, Assistant, Bard, Geo, Ads, Commerce and Payments.

Raghavan is one of the foremost authorities on Search and has over 20 years of research experience spanning algorithms, web search, and databases. He has published more than 100 papers, co-authored two widely-used graduate texts, and holds 20 issued patents, including several on link analysis for web search.

Prabhakar holds a Ph.D. from U.C. Berkeley in Electrical Engineering and Computer Science and a Bachelor of Technology from the Indian Institute of Technology, Madras. He is a member of the National Academy of Engineering; a Fellow of the ACM and IEEE; a former editor in chief for the Journal of the ACM; and was a Consulting Professor of Computer Science at Stanford University. In 2009, he was awarded a Laurea honoris causa from the University of Bologna.

Before joining Google, Prabhakar founded and led Yahoo! Labs, served as CTO at Verity, and spent 14 years at IBM Research.

2024 Lightning Talks

What Does Fairness Mean?

Adam Elmachtoub
Associate Professor of Industrial Engineering and Operations Research, Columbia Engineering

Shalmali Joshi
Assistant Professor of Biomedical Informatics, Columbia University

Emily Black
Assistant Professor of Computer Science, Barnard College

Moderator: Katja Maria Vogt
Professor of Philosophy; Chair of Classical Studies Graduate Program, Columbia University

Making the Most of an Image

Shree K. Nayar
T. C. Chang Professor of Computer Science, Columbia Engineering

Arian Maleki
Associate Professor of Statistics, Faculty of Arts and Sciences

Hortense Fong
Assistant Professor of Business, Marketing Division, Columbia Business School

Despina Kontos
Professor of Radiology, Columbia University Irving Medical Center (CUIMC)

Moderator: Yading Yuan
Associate Professor of Radiation Oncology (Physics), Columbia University Irving Medical Center

Fewer Patents, More Innovation

James Hicks
Academic Fellow; Lecturer in Law, Columbia Law School

Douglas Almond
Professor of International and Public Affairs and Economics, Columbia University

Bianca Howard
Assistant Professor of Mechanical Engineering, Columbia Engineering

Registration & Rates

  • Columbia University Students: $20
  • Columbia University Community: $75 – For Columbia alumni, faculty, staff, and researchers
  • General Admission: $200
  • DSI Industry Affiliates & NYC Government receive complimentary admission. Find details about the Industry Affiliates Program here; and select your company from the drop down menu when registering.

Register Here

Columbia Researchers: Apply to the Poster & Demo Session

Deadline: Thursday, March 14, 2024 (11:59 PM ET)

We encourage members of the Columbia University community to submit a poster or demonstration for inclusion at Data Science Day. The session is a great opportunity to network with the event’s anticipated 500+ attendees and receive feedback from senior academic, industry, and government representatives.

Eligibility: The Columbia University community is welcome to submit research to Data Science Day. This includes faculty members; affiliated researchers; and undergraduate, graduate, PhD candidates, and postdoctoral researchers. Please indicate your Columbia UNI when applying.

Details & Application

Thank You!

Data Science Day is made possible by the support of the DSI Industry Affiliates Program