Data Science Day 2023

Data Science Institute, Columbia University

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

Alfred Lerner Hall

<h2>Data Science Day provides a forum for innovators in academia, industry, and government to connect.</h2><p>The Data Science Institute’s flagship annual event will host keynote presentations from leading voices in data-driven innovation, lightning talks from Columbia University researchers, and interactive posters and technology demonstrations. F﻿ind the latest program information on the <a href="https://datascience.columbia.edu/event/data-science-day-2023/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">DSI website here</a>. </p><p><strong>Clifford Stein</strong>, 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.</p><h3>_﻿_________</h3><h3><strong>Location: Held In-Person, On Campus</strong></h3><p><a href="https://lernerhall.columbia.edu/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer"><strong>Alfred Lerner Hall</strong></a><strong> </strong>on Columbia's Morningside Campus. </p><p><strong>Address: </strong>920 Broadway, New York, NY 10027</p><h3>_﻿_________</h3><h3><strong>Keynote Speaker</strong></h3><p><strong>Manuela Veloso</strong>, Head of J.P. Morgan Chase AI Research; and Herbert A. Simon University Professor Emerita at Carnegie Mellon University</p><p><strong>Moderated by: Jeannette M. Wing</strong>, Executive Vice President for Research and Professor of Computer Science, Columbia University</p><h3>_﻿_________</h3><h3><strong>Special Remarks</strong></h3><p><strong>Lee C. Bollinger</strong>, President, Columbia University, joins the event to give remarks on the impact of data science and the Data Science Institute. Bollinger will be joined on stage by Clifford Stein (current DSI Interim Director); <strong>Jeannette M. Wing</strong> (former DSI Avanessians Director) and <strong>Kathleen R. McKeown</strong> (DSI’s founding Director), for a special ceremony to recognize his presidency and his contributions in the establishment of the Data Science Institute. </p><h3>_﻿_________</h3><h3><strong>Lightning Talks</strong></h3><p><a href="https://datascience.columbia.edu/event/data-science-day-2023/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Read Abstracts →</a></p><p><strong>The Human in AI Systems</strong></p><ul><li><strong>Kelton Minor</strong>, Data Science Institute. <strong>Talk Title: </strong>Global Monitoring of Emotional Responses to Climate Extremes: Evidence from Eight Billion Social Media Posts</li><li><strong>Kaveri Thakoor</strong>, Department of Ophthalmology, Columbia University Irving Medical Center. <strong>Talk Title: </strong>Creating a Robust, Interpretable, and Portable Medical-Expert–AI Team for Eye Disease Detection</li><li><strong>Maxim Topaz</strong>, School of Nursing, Columbia University Medical Center. <strong>Talk Title: </strong>Transforming Patient Care at Home with AI</li><li><strong>Sandra C. Matz</strong>, Columbia Business School. <strong>Talk Title:</strong> Using Big Data as a Window into People’s Psychology</li><li><strong>Moderator: Anthony Vanky</strong>, Graduate School of Architecture, Planning, and Preservation</li></ul><p><strong>Data Driven Finance for Society and Wall Street</strong></p><ul><li><strong>Harry Mamaysky</strong>, Program for Financial Studies, Columbia Business School.<strong> Talk Title: </strong>Credit Information in Earnings Calls</li><li><strong>Agostino Capponi</strong>, Industrial Engineering and Operations Research, Columbia Engineering.<strong> Talk Title: </strong>Mutual Funds: First-Mover Investors, Redemptions, and Spillover Risk</li><li><strong>Mario Small</strong>, Social Science, Faculty of Arts and Sciences. <strong>Talk Title:</strong> Financial Institutions, Neighborhoods, and Racial Inequality</li><li><strong>Moderator: Yao Lu</strong>, Sociology, Faculty School of Arts and Sciences</li></ul><p><strong>AI Generating Code, Dialog and Vision</strong></p><ul><li><strong>Baishakhi Ray</strong>, Computer Science, Columbia Engineering. <strong>Talk Title:</strong> Programming Language Processing: How AI can Revolutionize Software Development?</li><li><strong>Zhou Yu</strong>, Computer Science, Columbia Engineering.<strong> Talk Title:</strong> Seamless Natural Communication.<strong> </strong></li><li><strong>Carl Vondrick</strong>, Computer Science, Columbia Engineering. <strong>Talk Title:</strong> Connecting Vision, Language, and Code for Explainable and Reprogrammable AI</li><li><strong>M﻿oderator: Eric L. Talley</strong>, Columbia Law School</li></ul><h3>_﻿_________</h3><h3><strong>Poster &amp; Demo Session</strong></h3><p>Meet and network with the researchers who are advancing the next generation of data science methods and applications. Data Science Day 2023 will include a pavilion of 75+ posters and demonstrations created by talented researchers from across Columbia. <a href="https://datascience.columbia.edu/wp-content/uploads/2023/04/Guidebook-DSD2023_Download-1536x861.png" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Download Guidebook</a> to see the list of Exhibitors.</p><p>_﻿_________</p><h3><strong>Registration &amp; Rates</strong></h3><p>Early Registration rates have been extended until <strong>Tuesday, March 7 </strong>(11:59 PM ET)</p><ul><li><strong>C﻿olumbia University Students: $20 </strong></li><li><strong>Columbia University Community:</strong>  <strong>$75</strong> -  For faculty, staff, researchers and alumni of Columbia</li><li><strong>G﻿eneral Admission: $250</strong></li><li><strong>D﻿SI Industry Affiliates &amp; NYC Government</strong> receive complimentary admission. Find details about the Industry Affiliates <a href="https://datascience.columbia.edu/outreach/industry-affiliates-programs/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">program here</a>; and select your company from the drop down menu when registering for Data Science Day.</li></ul><h3>_﻿_________</h3><h3><strong>Refund Policy</strong></h3><p><strong>The deadline to secure a refund is Friday, April 7.</strong> 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 Wednesday, April 12. </p><h3>_﻿_________</h3><h3><strong>Contact</strong></h3><p>P﻿lease contact <strong>datascience@columbia.edu</strong> with any questions about this event.</p><h3>_﻿_________</h3><h3><strong>T﻿hank You!</strong></h3><p>Data Science Day is made possible by the support of the DSI Industry Affiliates Program. Industry Affiliate Companies:</p>