Women in Data Science (WiDS)
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WiDS Stanford Videos 2019

On March 4, 2019, 400+ people gathered at Stanford University and thousands more gathered across the globe for the 4th annual Women in Data Science (WiDS) Conference. View the full conference program, and watch all presentations from WiDS Stanford.
WiDS 2019 Opening Video
Opening  Remarks
WiDS Co-Directors: ​Margot Gerritsen, Karen Matthys, and Judy Logan
​Opening Address
​​Jennifer Widom
​Keynote Address,
Technology Driven Business Opportunities for the Next Decade
​Padmasree Warrior
​​Using Data Effectively: ​Beyond ​Art and Science, 
​
Hilary Parker
Improving Health Requires Targeting and Evidence, 
​
Marzyeh Ghassemi
WiDS Datathon, ​Winners Announced
Meredith Lee
Infusing Structure into Machine Learning Algorithms, 
Anima Anandkumar​
Understanding the Limitations of AI: When Algorithms Fail, 
Timnit Gebru
​Keynote Address,
Differential Privacy and the US Census 
Cynthia Dwork
Fireside Chat 
​Yoky Matsuoka and Lori Sherer, 
Machine Learning and the Evaluation of Criminal Evidence, 
​
Alicia Carriquiry
Building Trust in the Digital Age
Yinglian Xie

Evolution of Machine Learning for NIF Optics Inspection, 
Laura Kegelmeyer
WiDS 2019 Career Panel
Better Reinforcement Learning for Human in the Loop Systems,
Emma Brunskill
Filling in Missing Data with Low Rank Models,
Madeleine Udell
Closing Remarks
Margot Gerritsen

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© 2022 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 Stanford 2023 Agenda
    • WiDS Stanford 2023 Speakers
    • WiDS Regional Events 2023
    • Ambassadors 2023 >
      • Ambassador Advisory Council
    • WiDS Ambassador Program
    • Past Conferences >
      • WiDS 2022
      • WiDS 2021
      • WiDS 2020
      • WiDS 2019
      • WiDS 2018
      • WiDS 2017
      • WiDS 2015
    • Conference Committee
  • 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