About

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. Location: Held In-Person, On Campus Alfred Lerner Hall, Columbia University Morningside Campus Address: 2920 Broadway, New York, NY 10027 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? Opening Remarks Minouche Shafik, President of Columbia University 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 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. 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. 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. Contact datascience@columbia.edu

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