Researchers Working at the Forefront of AI, Natural Language Processing, Climate Science and More
Keynote by Microsoft President Brad Smith and Welcoming Address by Data Science Institute’s Jeannette Wing
Columbia University, New York, N.Y., March 28, 2019 — Columbia is holding its fourth annual DATA SCIENCE DAY, a conference that showcases the depth and scope of the university’s most innovative data-science research.
Held at Roone Arledge Auditorium on April 3, the day will feature talks from two of the most esteemed figures in today’s technology field: Brad Smith, president of Microsoft, who will give the keynote address, “Privacy and Security in a Digital World,” and Jeannette M. Wing, Avanessians Director, Data Science Institute, professor of Computer Science at Columbia, who will offer welcoming remarks. Wing was formerly Corporate Vice President of Microsoft Research and led Carnegie Mellon’s Computer Science Department.
“Everyone has data and data is everywhere,” said Wing. “Columbia University’s Data Science Institute is fueling the transformation of all fields and professions through the application of data science. Today is our moment to showcase our pioneering research that is advancing the state-of-the-art in data science—all while ensuring the responsible use of data to benefit society.”
Since its inception in 2012, the Data Science Institute has grown into an international leader in data-science research. 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 and in all fields, professions and sectors.
Columbia’s leading professors will deliver lightning talks – short presentations that dramatically illustrate their research findings on pressing and topical issues including how AI is changing industry; how ISIS recruits its members using social media; 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, Columbia professors will showcase their interdisciplinary and transformative research. Displayed around the room will also be demos and poster presentations from students and faculty.
Here’s a complete list of the topics and the presenters and click here for summaries of each presentation:
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
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”
To register for Data Science Day, contact ac4600@columbia.edu.
About The Data Science Institute, Columbia University:
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.