Data Science Day To Showcase Columbia's Most Innovative Research

DATA SCIENCE DAY | Columbia University | April 3 | 9 a.m. to 4:30 p.m. at Roone Arledge Auditorium

Columbia is holding its fourth annual Data Science Day, a conference to showcase the breadth and scope of the university’s most advanced data-science research. The day will feature talks from two of the most esteemed figures in today’s tech field: Brad Smith, President of Microsoft, who will give the keynote address, and Jeannette M. Wing, Avanessians Director, Data Science Institute, Professor of Computer Science at Columbia, who will offer welcoming remarks.

The conference, which is open to the public, aims to foster collaboration between innovators in academia, industry and government while also illustrating how data-science research is transforming all fields, professions and sectors. Research demonstrations and posters by Columbia students and faculty will be displayed throughout the day. And a networking reception for industry, faculty and students will follow the event. 

Since its inception in 2012, the Data Science Institute has grown into an international leader in data-science research, education and outreach, and Data Science Day is a time for the institute to celebrate its successes and illustrate the myriad ways in which it’s working to transform research across Columbia University while solving some of society’s most pressing problems.

Lightning Talks:

Beginning in the morning and continuing through the afternoon, 12 Columbia professors will showcase their research in lightning talks – short presentations that dramatically illustrate their findings. The talks will touch upon topics such as how AI is changing industry; how ISIS uses social media to recruit members; how companies use machine learning to assess climate risk; and how programmers can build more trustworthy blockchain technologies. 

Here’s a list of the topics and the presenters and click here to read summaries of the presentations:

Data Science Fundamentals: Today & Tomorrow

Michael Collins, Vikram S. Pandit Professor of Computer Science

Liam Paninski, Professor of Statistics and Neuroscience

Tim Roughgarden, Professor of Computer Science

The Future of Business: Given the State of AI

Simona Abis, Assistant Professor of Business

Nima Mesgarani, Associate Professor of Electrical Engineering

Julian Nyarko, Postdoctoral Research Scholar in the Faculty of Law

A Private Secure & Safe World

Ronghui Gu, Assistant Professor of Computer Science

Mark Hansen, David and Helen Gurley Brown Professor of Journalism and Innovation; Director, David and Helen Gurley Brown Institute of Media Innovation

Tamar Mitts, Assistant Professor of International and Public Affairs

Improving Patient Outcomes Through Data Science

Andrea Baccarelli, Leon Hess Professor of Environmental Health Sciences; Chair, Department of Environmental Health Sciences

Carri W. Chan, Associate Professor of Business

George M. Hripcsak, Vivian Beaumont Allen Professor of Biomedical Informatics; Chair, Department of Biomedical Informatics

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The Data Science Institute at Columbia University, founded in 2012, is training the next generation of data scientists and developing innovative technology to serve society. With more than 300-affiliated faculty doing reserach in an array of disciplines across Columbia, the Institute advances techniques to gather and interpret data and to address the most pressing societal problems. The Institute works closely with industry to bring promising ideas to market and, above all, to use data for good.

– Robert Florida


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