Women in Data Science (WiDS)
  • 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

Announcing the WiDS Worldwide conference speakers: Data Science Leaders Converge at Stanford on March 7, 2022

12/6/2021

 
Picture
The 7th Annual Women in Data Science (WiDS) Worldwide conference will be a hybrid conference, held in-person at Stanford University and online on March 7, 2022. WiDS Worldwide is a technical conference featuring outstanding women doing outstanding work in data science and related fields. This year’s conference will feature keynote addresses, several technical talks, panel discussions, and time for networking. The simultaneous online conference will include a broadcast of the conference at Stanford, in addition to workshops, speaker interviews, a career expo, and networking.
The WiDS Worldwide team is delighted to announce a distinguished set of confirmed speakers addressing topics such as the latest research in data ethics and algorithmic bias, to applications in healthcare, environmental science, public policy, and more. They include:
Cecilia Aragon: Professor at UW, Aerobatic Pilot, Author, & Data Scientist
Cecilia is Professor and Director of the Human-Centered Data Science Lab at the University of Washington (UW) where she and her team use both quantitative and qualitative methods to study how people make sense out of large data sets, at the intersection of human-computer interaction and data science. She has received numerous awards, including the Presidential Early Career Award for Scientists and Engineers and the Fulbright award. Cecilia will deliver a keynote address titled, “The Rigorous and Human Life of Data”.
Suzanne Weekes: Professor, WPI  & Executive Director, SIAM
​Suzanne Weekes is the Executive Director of SIAM (Society for Industrial and Applied Mathematics) an international professional society of over 14,000 individual members with almost 500 institutional members from academia, government, and research laboratories. She is Professor of Mathematical Sciences at Worcester Polytechnic Institute (WPI). Suzanne has received multiple awards, including the Humphreys Award for Mentoring from the Association for Women in Mathematics (AWM) and the Haimo Award for Distinguished College or University Teaching of Mathematics from the Mathematical Association of America (MAA). Suzanne will moderate the WiDS Career Panel.
Alex Hanna: Research Scientist, Ethical AI at Google
Alex is a sociologist and senior research scientist working on the Ethical AI team at Google. Before that, she was an Assistant Professor at the Institute of Communication, Culture, Information and Technology at the University of Toronto. Her research centers on origins of the training data which form the informational infrastructure of AI and algorithmic fairness frameworks, and the way these datasets exacerbate racial, gender, and class inequality. She will deliver a technical vision talk titled, “Beyond Bias: Algorithmic Unfairness, Infrastructure, and Genealogies of Data”.
Nandi Leslie: Engineering Fellow at Raytheon Technologies, Applied Mathematician
Nandi is an Engineering Fellow with over twenty-two years of experience. Since 2015, she has also served as a Principal Investigator in the U.S. Army Research Laboratory (ARL). She has written over 55 publications in peer-reviewed journals, conference proceedings, and book chapters. Nandi will deliver a technical vision talk titled, “Unsupervised Learning for Network Intrusion Detection”.
Keep checking back, as we will be announcing more speakers in the coming weeks.

Registration for WiDS Worldwide is now closed. You can join us for the livestream from 8:00am-5:00pm. The WiDS Worldwide livestream will feature keynote addresses, technical talks, and panel discussions with thought leaders from academia, industry, non-profit, and government, along with meet-the-speaker interviews from theCUBE.
Join the livestream

Comments are closed.

    Categories

    All
    WiDS Ambassadors
    WiDS Conference
    WiDS Datathon
    WiDS NextGen
    WiDS Podcast
    WiDS Regional Events
    WiDStory
    WiDS Workshops

    RSS Feed

Initiatives

Conference
Ambassador Program
Datathon
Podcast
Workshops 
Next Gen

Follow Us

LinkedIn
Twitter
Facebook
Instagram
YouTube
​Blog

connect

LinkedIn Group
Facebook Group
subscribe
donate

© 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