Data Science Day 2022

Data Science Institute, Columbia University

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

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<h2>Data Science Day 2022</h2><p><a href="https://datascience.columbia.edu/event/data-science-day-2022/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Data Science Day</a> provides a forum for innovators in academia, industry, and government to connect. The Data Science Institute’s flagship annual event offers an unparalleled opportunity to experience the depth and scope of Columbia University’s most innovative data science research. </p><ul><li><strong>9:30 AM – 12:30 PM ET: </strong>Virtual Program of lightning talks, keynotes, and special announcements (Zoom)</li><li><strong>2:00 PM – 5:30 PM ET: </strong>In-Person Poster Session to be held on the Columbia University Campus (<a href="https://datascience.columbia.edu/wp-content/uploads/2021/08/Ancell-GettingThere-Image-v-2022.png" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Ancell Plaza</a>, outdoor tented space located at Morningside outside of the SIPA building)</li></ul><h3>_________</h3><h2>Virtual Program</h2><h3>Keynote</h3><ul><li><strong>Dr. Alondra Nelson</strong></li><li>Dr. Alondra Nelson is performing the duties of the Director of the White House Office of Science and Technology Policy (OSTP)</li><li>Introductions: <strong>Lee C. Bollinger</strong>, President of Columbia University</li><li>Keynote Moderator: <strong>Desmond Upton Patton</strong>, Associate Director of Diversity, Equity and Inclusion, The Data Science Institute; and Professor of Social Work, School of Social Work, Columbia University</li></ul><h3>_________</h3><h3>Industry Keynote</h3><ul><li><strong>Sriram Raghavan</strong>, Vice President, IBM Research AI</li><li>Industry Keynote Moderator: <strong>Clifford Stein</strong>, Interim Director of The Data Science Institute; Wai T. Chang Professor of Industrial Engineering and Operations Research and Professor of Computer Science, Columbia University</li></ul><h3>_________</h3><h3>Lightning Talks</h3><p>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. <a href="https://datascience.columbia.edu/event/data-science-day-2022/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Read Abstracts</a>.</p><p><strong>Data Driven Decisions: New Paradigms</strong></p><ul><li><strong>Talia Gillis</strong>, Associate Professor of Law, Columbia Law School. <strong>Talk Title: </strong>Algorithmic Fair Lending Law: Challenges for Regulating AI.<strong> </strong></li><li><strong>Tian Zheng</strong>, Professor of Statistics and Department Chair, Faculty of Arts and Sciences, Columbia University. <strong>Talk Title:</strong> Toward a Taxonomy of Trust for Probabilistic Machine Learning</li><li><strong>Jason S. Adelman</strong>, MD, Chief Patient Safety Officer, Columbia University Irving Medical Center/NewYork-Presbyterian.<strong> Talk Title: </strong>Oops! I Placed an Order on the Wrong Patient: A Case Example of the Use of an Automated Measure of Medical Errors to Improve Patient Safety</li><li><strong>Omar Besbes</strong>, Vikram S. Pandit Professor of Business, Decision, Risk, and Operations, Columbia Business School.<strong> Talk Title: </strong>Data-Driven Decisions: How Big Should Your Data Really Be?</li><li><strong>Moderator: Ying Wei</strong>, Professor of Biostatistics, Mailman School of Public Health, Columbia University</li></ul><p><strong>Making Data Science Practical: Sharing, Caring and Robust</strong></p><ul><li><strong>Zenna Tavares</strong>, Associate Research Scientist, The Data Science Institute, Columbia University. <strong>Talk Title:</strong> Causal Probabilistic Programming: Towards Machines That Reason</li><li><strong>Richard Zemel</strong>, Trianthe Dakolias Professor of Engineering and Applied Science and Professor of Computer Science, Columbia Engineering. <strong>Talk Title: </strong>Out-of-Context: Data and Models </li><li><strong>Rachel Cummings</strong>, Assistant Professor of Industrial Engineering and Operations Research, Columbia Engineering. <strong>Talk Title:</strong> Differential Privacy: State of the Art and Challenges</li><li><strong>Moderator: Ivan Corwin</strong>, Professor of Mathematics, Faculty of Arts and Sciences, Columbia University</li></ul><h3>_________</h3><h2>In-Person Poster Session</h2><h3>Join us on the Columbia University Campus</h3><p><strong>Location: </strong><a href="https://datascience.columbia.edu/wp-content/uploads/2021/08/Ancell-GettingThere-Image-v-2022-1536x1063.png" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Ancell Plaza</a>, outdoor tented space located at Morningside outside of the SIPA building</p><p>Meet the researchers who are building the next generation of data science methods and applications. The Data Science Day 2022 poster session will highlight new and ongoing work in data science, engineering, and technology underway from Columbia’s faculty, student, and researcher community.</p><h3>_________</h3><h3>Thank You</h3><p>Data Science Day is made possible by the support of <a href="https://datascience.columbia.edu/outreach/industry-affiliates-programs/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">DSI Industry Affiliates</a>. Contact us at datascience@columbia.edu to learn more about the Industry Affiliate program.</p>

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