Data Science Day to showcase Columbia University’s most innovative research
Columbia researchers share latest advances in artificial intelligence, natural language processing, predictive healthcare, global radicalization and more
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.
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.
Beginning in the morning and continuing through the afternoon, 12 Columbia professors will showcase their interdisciplinary and transformative research. Here’s a complete list of the presenters, divided by the day’s four topics:
Lightning Talk I: Data Science: Transforming All Fields and Sectors
Michael Collins, Vikram S. Pandit Professor of Computer Science
“Successes and Challenges in Neural Models for Speech and Language”
Liam Paninski, Professor of Statistics and Neuroscience
“Neural Data Science”
Tim Roughgarden, Professor of Computer Science
“Studying Auctions for Online Advertising and Pricing in Thin Markets”
Lightning Talk II: How AI is Changing Industry
Simona Abis, Assistant Professor of Business
“Man + Machine: The Future of Labor and Knowledge Production”
Nima Mesgarani, Associate Professor of Electrical Engineering
“Brain-controlled Assistive Hearing Technologies: Challenges and Opportunities”
Julian Nyarko, Postdoctoral Research Scholar in the Faculty of Law
“Corporate Climate: Using Machine Learning to Assess Climate Risk Disclosures and Susceptibility”
Lightning Talk III: A Private Secure & Safe World
Ronghui Gu, Assistant Professor of Computer Science
“Towards Building Trustworthy Blockchain Ecosystems?”
Mark Hansen, David and Helen Gurley Brown Professor of Journalism and Innovation; Director, David and Helen Gurley Brown Institute of Media Innovation
“To Reduce Privacy Risks, the Census Plans to Report Less Accurate Data”
Tamar Mitts, Assistant Professor of International and Public Affairs
“Global Radicalization in an Internet Age”
Lightning Talk IV: Improving Patient Outcomes Through Data Science
Andrea Baccarelli, Leon Hess Professor of Environmental Health Sciences; Chair, Department of Environmental Health Sciences
“Data Science and Epigenomics – Solving 21st Century Public Health Challenges”
Carri W. Chan, Associate Professor of Business
“An Examination of Early Transfers to the ICU Based on a Physiologic Risk Score”
George M. Hripcsak, Vivian Beaumont Allen Professor of Biomedical Informatics; Chair, Department of Biomedical Informatics
“Steering Medical Therapy Through Large-Scale Clinical Data”
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 over 300-affiliated faculty working in a wide range of disciplines, the Institute seeks to foster collaboration in advancing techniques to gather and interpret data, and to address the urgent problems facing society. The Institute works closely with industry to bring promising ideas to market.