Peter K. Bol
Vice Provost for Advances in Learning
Charles H. Carswell Professor of East Asian Languages and Civilizations
David Autor (MIT) will use evidence from the worlds of economics and political science to examine the impact of economic change – and in particular the rising competition of foreign imports into the American market – on political polarization.
As objects created by humans, a range of systems - from algorithm-driven search engines to long-standing vocabularies and canons - are shaped by cultural biases and can play a large and unrecognized role in both what we teach and how students lear
Co-Sponsored by Computer Science
Wednesday, March 28, 2018
Celebrating 5 years of Data Science at Columbia University
Join us for demos and lightning talks by Columbia researchers presenting their latest work in data science. The event provides a forum for innovators in academia, industry and government to connect.
Roone Arledge Auditorium
Lerner Hall | Columbia University
2920 Broadway, New York, NY 10027
Networking reception for industry, faculty and students following the event.
Featuring a Keynote Address by Diane Greene, Google Cloud CEO
Professor of Information Science at Cornell Tech; Director, Digital Life Initiative
Danah Boyd, Principal Researcher at Microsoft Research, the founder of Data & Society, and a Visiting Professor at New York University's Interactive Telecommunications Program.
Vulnerabilities in a Sociotechnical Society
Arvind Narayana, Assistant Professor, Department of Computer Science and Center for Information Technology Policy at Princeton University
DSI Colloquium Series Event
Co-Sponsored by DSI’s Frontiers in Computing Systems Group and the Department of Applied Physics and Applied Mathematics
"Data Driven Discovery and Decision Making - A Paradigm Shift for Large Scale Experimental Science"
Kerstin Kleese van Dam
Director, Computational Science Initiative
Brookhaven National Laboratory
Abstract: New instrument technologies are enabling a new generation of in-situ and in-operando experiments, with extremely fine spatial and temporal resolution, that allows researchers to observe as physics, chemistry and biology are happening. These new methodologies go hand in hand with an exponential growth in data volumes and rates - petabyte scale data collections and terabyte/sec.
At the same time, scientists are pushing for a paradigm shift. As they can now observe processes in intricate details, they want to analyze, interpret and control those processes. Given the multitude of voluminous, heterogenous data streams involved in every single experiment, novel realtime, data-driven analysis and decision support approaches are needed to realize their vision.
Jeannette M. Wing
Avanessians Director of the Data Science Institute Professor of Computer Science Columbia University
Data for Good