Tuesday, April 11, 2017 from 8:00 a.m. – 5:30 p.m.
The Boar’s Head Inn, Charlottesville, VA
The summit is co-hosted by the University of Virginia’s Data Science Institute
For more information, an agenda, and registration visit the event website.
The Data Science Institute is pleased to announce the appointment of Dr. Philip E. Bourne as its incoming Director. Phil will take his position as the Stephenson Chair of Data Science, Director of the Data Science Institute, and Professor in the Department of Biomedical Engineering starting May 1, 2017.
Datapalooza is a showcase of the data-driven research, resources, services, and outreach here at the University of Virginia. This University-wide event is an opportunity for all members of our community to understand and experience the various units, departments, centers, and other organizations that utilize data and/or can provide resources for faculty, students and researchers.
With support from the Office of the President, the Data Science Institute is joining the Office of Graduate and Postdoctoral Affairs in offering fellowships for teams of graduate students to undertake collaborative research projects that leverage large data sets to advance knowledge in areas of high social impact. Final proposals must be submitted to
Please note that the talk by Steve Tadlis, chief economist of eBay that was scheduled for December 12 at 3:30pm has been canceled and will be rescheduled for fall 2015. Thank you for attending our DSI Distinguished Lecture Series events and we look forward to seeing you at the events in 2015!
The series is organized to showcase the cutting edge of data analytics and data-driven research at large corporations and government organizations.
The Data Sciences Institute (DSI) is pleased to announce the creation of a new Center for Data Ethics, Law, and Policy. The idea for the Center was hatched while the DSI was still being planned.
New Data From Existing Cameras
Realizing the social and environmental benefits of bicycle transportation requires good planning. Good planning requires continuous observation of ridership patterns, which are difficult to collect.
How do students actually learn and achieve? Researchers find it difficult to get inside students’ learning processes in order to show how students learn and what most affects their learning. Are actions prior to or during the course of an educational experience most important for learning? Students’ innate abilities? Other factors?