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WiDS Stanford Videos 2017

On February 3, 2017, 400+ attendees gathered at Stanford University and 80 locations worldwide for the 2nd annual Women in Data Science (WiDS) Conference. View the full conference program, check out the list of our 2017 world-class speakers and watch all the sessions from the 2017 conference.
The WiDS speaker interview playlist features several of the 2017 speakers, panelists, and champions.
Opening Video
WIDS Ambassadors
WiDS Stanford 2017 Highlights
Opening Remarks Margot Gerritsen
Fireside Chat Lori Sherer & Caitlin Smallwood
Morning Keynote
​Diane Greene
Designing Visualizations: A Systematic Approach, 
​Miriah Mayer
Data Science, Making the World Run Better, Sinead Kaiya
Industrialized Data Science – Practical use cases, 
​Janet George
​Machine Learning to Determine How Many People Have Been Killed in Syria, Megan Price
A Quest for Visual Intelligence in Computers,
​Fei-Fei Li
​Data Science Supporting National Security,
Dr. Deborah Frincke
Making a Complete Toolbox for Quantitative Biological Data Analyses,
Susan Holmes 
How Data Science is Revolutionizing the Oil & Gas Industry,
Stephanie Gottlieb-Zeh
What Machine Learning Can Do for Healthcare,
Finale Doshi-Velez 
Beware What You Ask for: The Secret Life of Predictive Models,
​Claudia Perlich
Closing Remarks, 
Margot Gerritsen 

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© 2023 Women in data science. Women in Data Science is a Registered trademark of Stanford University. 

  • Home
  • About
    • Blog
    • WiDStory
    • News
    • Research
    • Sponsors
    • Collaborators
    • Contact
    • Donate
  • Conferences
    • WiDS Regional Events 2023
    • WiDS Stanford 2023 Online
    • WiDS Stanford 2023 Agenda
    • WiDS Stanford 2023 Speakers
    • Ambassadors 2023 >
      • Ambassador Advisory Council
    • WiDS Ambassador Program
    • Past Conferences >
      • WiDS 2023
      • WiDS 2022
      • WiDS 2021
      • WiDS 2020
      • WiDS 2019
      • WiDS 2018
      • WiDS 2017
      • WiDS 2015
  • Datathon
    • Datathon Details
    • Datathon Resources >
      • Datathon Press Release
    • WiDS Datathon Workshops 2023
    • Datathon News
    • Datathon Collaborators
    • Datathon Committee
  • Podcast
    • Podcast Committee
  • Education
    • Workshops >
      • Workshop Instructors
      • Workhop Committee
    • Next Gen >
      • Next Gen Resources
      • Next Gen Committee