Data Science Day 2024 Join the flagship annual event at the Data Science Institute, Columbia University.

Refund Policy
Refunds up to 7 days before event
About this event
9 hours
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.

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Location: Held In-Person, On Campus
Alfred Lerner Hall, Columbia University Morningside Campus

Address: 2920 Broadway, New York, NY 10027

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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.

Talk: Beyond information retrieval: What does Search mean these days?

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Opening Remarks
Minouche Shafik, President of Columbia University

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Lightning Talks – Abstracts
What Does Fairness Mean?

Adam Elmachtoub, Industrial Engineering and Operations Research – Embedding Fairness into Pricing Algorithms
Shalmali Joshi, Biomedical Informatics – Characterizing and Operationalizing (Systemic) Algorithmic Fairness in Psychiatric Diagnosis
Emily Black, Computer Science (Barnard College) – Model Multiplicity and Less Discriminatory Alternatives
Moderator: Katja Maria Vogt, Philosophy
Making the Most of an Image

Shree K. Nayar, Computer Science (Columbia Engineering) – Future Cameras
Arian Maleki, Statistics – Image Acquisition Challenges in the Presence of Speckle Noise: Theoretical and Practical Insights
Hortense Fong, Marketing – A Theory-Based Explainable Deep Learning Architecture for Music Emotion
Despina Kontos, Radiology – Radiomics, Radiogenomics, and AI: The Emerging Role of Imaging Biomarkers in Precision Cancer Care
Moderator: Yading Yuan, Radiation Oncology
Innovation and Sustainability

James Hicks, Columbia Law School – Do Patents Drive Investment in Software?
Douglas Almond, Economics and International and Public Affairs – Methane Spikes when US LNG Unloaded in Europe
Bianca Howard, Mechanical Engineering – Decision-making for Building Decarbonization
Moderator: Kate Ascher, Architecture, Planning and Preservation
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Poster & Demo Session
Engage with the Columbia researchers who are shaping the future of data science as they showcase the next generation of methods and applications. Data Science Day 2024 will include a pavilion of 75+ posters and demonstrations.

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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 for Data Science Day.
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Refund Policy
The deadline to secure a refund is Thursday, March 21, 2024. Refunds may be requested up to 7 days prior to the event and will be considered on a case by case basis. No refunds will be issued after Thursday, March 28, 2024.

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Contact
Please contact datascience@columbia.edu with any questions about this event.

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Thank You!
Data Science Day is made possible by the support of the DSI Industry Affiliates Program. Industry Affiliate Companies: