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Livestream Available for Conference

Monday, November 2, 2015

For those of you who won't join in-person for Monday's sold-out Women in Data Science Conference, we have great news!  The conference will be available via livestream here:  

http://stanfordvideo.stanford.edu/stream/widsconference.htm

Join the livestream community to view keynotes, tech talks, and panel talks from this world-class group of data scientists.   Livestream schedule is below.  

If you would like to receive wait list notifications, conference updates, and live streaming notifications, sign up for our mailing list.


9:00-9:30am   Welcome and Opening Remarks 
Persis Drell, Dean, Stanford School of Engineering; Margot Gerritsen, Stanford ICME

9:30-10:10am   Morning Keynote
Network Science: From the Online World to Cancer Genomics, Jennifer Chayes, Distinguished Scientist and Managing Director, Microsoft Research

10:10-10:50am   Panel Discussion, Women Entrepreneurs in Data Science
Moderator: Tina Seelig, Stanford Technology Venture Program (STVP)
Panelists: Montse Medina, Jetlore; Jaya Kolhatkar, @WalmartLabs; Monica Rogati, Data Collective; Helena Deus, Foundation Medicine

11:05 a.m.-12:05 p.m. Morning Tech Talks

  • 11:05-11:25    Enabling Breakthrough Insights, Diane Bryant, Intel Data Science Group
  • 11:25-11:45    Big Graph Data Science, Lise Getoor, UC Santa Cruz
  • 11:45-12:05    Netflix Data Science:  A Confluence of Metrics, Algorithms, and Experimentation, Caitlin Smallwood, Netflix

1:20-2:00 p.m.  Afternoon Keynote
Data-Driven Marketplace Design: Experiments, Machine Learning, and Econometrics, Susan Athey, Stanford Graduate School of Business

2:00-3:00 p.m.   Afternoon Tech Talks, Session #1

  • 2:00-2:20    Cyber Security Research: A Data Scientist’s Perspective, Celeste Matarazzo, LLNL
  • 2:20-2:40    Teaching Computers to See with Big Data, Fei-Fei Li, Stanford Artificial Intelligence Lab, Vision Lab 
  • 2:40-3:00    Making Pictures, 1000 Words at a Time, Irene Ros, Bocoup

3:15-3:55 p.m. Panel Discussion: Career Paths in Data Science
Moderator: 
Kara Swisher, Re/code
Panelists: Jennifer Tour Chayes, Microsoft Research; Aleksandra Korolova, USC; Shubha Nabar, Salesforce; Bin Yu, UC Berkeley

3:55-4:55 p.m.  Afternoon Tech Talks, Session #2 

  • 3:55-4:15     Data Science and the Evolution of Retail, Kelly Thompson, Walmart Global eCommerce
  • 4:15-4:35     The Multi-Facets of a Data Science Project to Answer: How Are Organs Formed, Bin Yu, UC Berkeley
  • 4:35-4:55     Keeping Up with the Web, Carrie Grimes Bostock, Google

4:55-5:00 p.m.  Closing Remarks