The Stanford Data Science Initiative Fall 2017 Retreat was held November 2, 2017 at the Li Ka Shing Conference Center at Stanford University.
See the agenda ,slides, and videos for more information.
9:00 am Welcome and introductions - Steve Eglash, Executive Director of Strategic Research Initiatives
9:10 am Vision for data science - Jure Leskovec, Associate Professor, Computer Science, Director, Stanford Data Science Initiative
9:30 am Safe distributed computation for reluctant data sharers: At home in the Microsoft Azure Cloud
Philip Lavori, Professor, Biomedical Sciences, Balasubramanian Narasimhan, Senior Research Scientist, Statistics and Biomedical Sciences, and John Mark Agosta, Principal Data Scientist, Microsoft
10:40 am Democratizing machine learning in the Stanford DAWN project, Matei Zaharia, Assistant Professor, Computer Science
11:00 am Panel Discussion: Industry approaches for dealing with disruptive technology
Peter Gunder, Chief Business Development Officer, American Family Insurance, Peter Novig, Research Director, Google, and Luca Marighetti, Managing Director, Swiss Re
1:20 pm After DAWN: The potential of usable machine learning today and tomorrow, Peter Bailis, Assistant Professor, Computer Science
1:40 pm Finding earthquakes in a spaghettui of seismic streams, Philip Levis, Associate Director, Computer Science and Electrical Engineering
2:00 pm Panel Discussion: Socially impactful and ethical data science
Emma Brunskill, Assistant Professor, Computer Science, Rumman Chowdhury, Senior Principal, AI, Accenture, Thomas Kalil, Senior Advisor to the Eric and Wendy Schmidt Group, and Rob Reich, Professor, Political Science
3:45 pm Analytics on time-series data, Jure Leskovec, Associate Professor, Computer Science, Director Stanford Data Science Initiative
4:05 pm Security in the era of big data, Dan Boneh, Professor Computer Science and Electrical Engineering
4:25 pm Poster preview presentations