Data Science Day 2021 - Virtual

The flagship annual event at The Data Science Institute, Columbia University

Data Science Day provides a forum for innovators in academia, industry, and government to connect. Our April 2021 virtual event will feature a keynote address; two sessions of Lightning Talks from leading Columbia University faculty members; and an interactive session of data science posters and demonstrations. Learn More.

Keynote Speaker

• Pat Bajari, Chief Economist and Vice President, Amazon Core AI
• Moderated by Jeannette M. Wing, Avanessians Director of the Data Science Institute and Professor of Computer Science at Columbia University

Lightning Talks

Hear from Columbia University’s most innovative researchers. Two sessions of faculty-led lightning talks will shed light on emerging opportunities for data science across many disciplines and use cases. View abstracts.

Human + Machine: A New Hybrid World

• Oded Netzer, Arthur J. Samberg Professor of Business, Columbia Business School — Salespeople Automation: A Human-Machine Hybrid Approach
• Lydia Chilton, Assistant Professor of Computer Science, Columbia Engineering — AI Tools for Design and Innovation
• Sarah Rossetti, Assistant Professor of Biomedical Informatics and Nursing, Columbia University — Exploiting the Signal Gain of Clinician Expertise in a Predictive Early Warning Score and CDS tool using Nursing EHR Data
• Courtney D. Cogburn, Associate Professor of Social Work, Columbia School of Social Work (Moderator)

Cause, Learn, Optimize, and Reason

• Samory Kpotufe, Associate Professor, Department of Statistics, Columbia University — Big but Imperfect Data: Fundamental Challenges of Domain Adaptation
• Melanie Wall, Professor of Biostatistics (in Psychiatry), Department of Biostatistics, Mailman School of Public Health, Columbia University — Data Science as the Engine for a Learning Health Care Service System for First Episode Psychosis in Coordinated Specialty Care
• Elias Bareinboim, Associate Professor, Department of Computer Science, Columbia University — Causal Data Science
• Clifford Stein, Professor, Industrial Engineering, Operations Research and Computer Science, Columbia Engineering — Parallel Algorithms for Massive Graphs
• Martha Kim, Associate Professor, Computer Science, Columbia University (Moderator)

Virtual Poster and Demo Session

Meet and network with researchers who are building the next generation of data science methods and applications. Attendees may browse data science posters, demonstrations, videos, and abstracts by the Data Science Institute’s research center and working group topic areas. Join our breakout groups to ask questions and get to know the participating teams.

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FAQs

When will I receive virtual event information?

Online meeting and livestream information will be sent to attendees at the below times:

2 Days Prior

2 Hours Prior

10 Minutes Prior

How can I contact the organizer with any questions?

You may email datascience@columbia.edu.

What's the refund policy?

The last opportunity for a refund is Wednesday, April 14, 2021.  Free tickets may be cancelled at any time.

Please note that this event may be recorded.