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May 8–9, 2017 — UC Berkeley

Schedule

Monday, May 8, 2017

2:00 pm
Workshop:
IIoT Powered by Predix
  • Jeff Blattel
  • Rex Lam
2:00 pm
Workshop:
Introduction to Data Science with Hadoop
  • Glynn Durham
2:00 pm
Workshop:
LAVA: A Design Language for Visual Analytics
  • John Armitage
3:30 pm
Break
3:40 pm
Welcome
  • Jonathan Star
3:45 pm
Three Popular Ways to Fail with Data Science: How to Overcome Common Pitfalls on the Way to Creating Business Value with Data
  • Juergen Urbanski
4:25 pm
Ubiquitous Biosensing: Application Frontiers and Stewardship Challenges
  • John Chuang
  • Elaine Sedenberg
5:10 pm
Keynote Address:
The Rise of Data Science for Social Good
  • JeanCarlo Bonilla
6:00 pm
Reception

Tuesday, May 9, 2017

9:10 am
Keynote Address:
Leveraging Google Data Tools for Social Science Studies
  • Dr. Qing Wu
9:45 am
Datagrams from the Field: Launching Open Data, Maintaining Closed Data, and Driving Value in Cities and Industry
  • Peter Marx
10:15 am
Break
10:35 am
Building a Data Science Team
  • Jeremy Stanley
11:10 am
The Deplorable State of Deployment
  • Josh Lewis
11:45 am
The Making of MalwareScore
  • Jonathan Woodbridge
12:15 pm
Lunch and Networking
1:55 pm
Mining Aircraft Data for Aircraft Safety
  • Nikunj Oza
2:30 pm
How Data is Transforming Logistics
  • Coco Krumme
  • Peter Weis
3:05 pm
Using Data to Hunt Threats
  • Michael Murray
3:35 pm
Break
3:55 pm
A Story of Big Data, Cancer, and Collaboration
  • Shirley Pepke
  • Greg Ver Steeg
4:30 pm
Cognitive Data Governance
  • Fawad Butt
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