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Women in Data Science(WiDS) Stanford
​Conference Agenda

The WiDS Stanford conference features keynotes, technical vision talks,
panel discussions, and networking.

March 8, 2023
8:30 am-4:30 pm PST, in-person and on livestream
In-person networking 4:30-6:00pm PST
Register Now
Agenda (all times PST)
8:00-8:30 am
Registration and Breakfast

8:30-8:35 am
WiDS Welcome
Margot Gerritsen, Professor Emerita & WiDS Executive Director, Stanford University​

8:35 - 8:45 am
Opening address
Srinija Srinavasan, Co-Founder, Loove

8:45 - 9:10 am
Keynote Address
Put the horse before the cart: Why “users first” is important for a good monetization strategy
Gayatree Ganu, Vice President of Data Science, Facebook

9:10-9:15 am
Opening Video
Meet the WiDS Worldwide Community and Nobel laureate Carolyn Bertozzi 

9:15-9:30 am
Technical Vision Talk
​Uncovering Online Censorship and Propaganda in China
Jennifer Pan, Professor of Communication and FSI Senior Fellow, Stanford University

9:30-9:45 am
Technical Vision Talk
(DIS) Proportionate Impacts of Policing in Chicago
Trina Reynolds-Tyler, Data Director, Invisible Institute

9:45-10:00 am
Technical Vision Talk
Desi Small-Rodriquez, Assistant Professor of Sociology and American Indian Studies, UCLA 

10:00 - 10:20 am
Morning Break
On livestream: theCUBE interviews

10:20-10:50 am
Panel Discussion:
​
Putting our values into practice in data science work
Moderator:
​Megan Price, Executive Director, Human Rights Data Analysis Group (HRDAG)
Panelists:
​Jennifer Pan, Professor of Communication and FSI Senior Fellow, Stanford University
​
Trina Reynolds Tyler, Data Director, Invisible Institute
​
Desi Small-Rodriquez, Assistant Professor of Sociology and American Indian Studies, UCLA 

10:50-10:55 am
Interlude
Announcing the WiDS Datathon 2023 Winners

10:55 - 11:10 am
Technical Vision Talk
ML through a wide-angle lens: Real World Successes and Lessons Learned in Deploying ML Models 
Wendy Ku, Senior Data Scientist, Getty Images

11:10 - 11:25 am
Technical Vision Talk
Gabriela de Queiroz, Cloud Advocate, Microsoft
11:25- 11:30 am
Interlude
Students Mileati Melese and Stephanie Perez share their work on Algorithmic Fairness in Health Care. 
 11:30 - 11:45 am
Technical Vision Talk
​Killing Diseases with Really Big Computers: Building Analysis Tools to Solve Disease
Marisa Torres, Bioinformatics Lead, Lawrence Livermore National Lab (LLNL)

11:45 am-12:00 pm
Technical Vision Talk
​Harnessing AI and Data Science for Health Equity within Communities ​
Irene Dankwa-Mullan, Chief Health Equity Officer at Merative & Affiliate Professor at GWU Milken Institute School of Public Health​

12:00 - 12:55 pm
Lunch Break​​
On livestream: theCUBE interviews

12:55 - 1:00 pm
Interlude
Stories of WiDS Women from Around the Globe featuring Philomena Mbura, Amanda Milberg and Becki Cook. ​

1:00 - 1:25 pm
Keynote Address
A Sparkle in the Dark: The Outlandish Quest for Dark Matter
Maria Elena Monzani, Lead Scientist, ​SLAC National Accelerator Lab
 1:25 - 1:30 pm
Interlude  
A Focus on Education:
​Re-Inventing y
our Career in Data Science, featuring
​Laura Mercy
​
1:30 - 2:05 pm
Panel discussion:
Preparing for a career in
​data science
Moderator: 
​Sanne Smith, Director of Master's Program, Education Data Science, Stanford University

Panelists:
Montse Cordero, Mathematics Designer, youcubed
Adriana Velez Thames, Geophysicist-Data Scientist, Springboard Alumni
2:05 - 2:10 pm
Interlude
Tanzanian data scientists working to end the HIV endemic in Africa, featuring Nurat Karamagi, Rachel Butoto, and Mwatum Mmbaga, along with Mahadia Tunga.

2:10 - 2:25 pm
Technical Vision Talk
Bringing Motion Diffusion Models to Immersive Entertainment
Jhanvi Shriram, Co-Founder and CEO, Krikey
Ketaki Shriram, Co-Founder and CTO, Krikey

2:25 - 2:40 pm
Technical Vision Talk
​Optimization-in-the-loop machine learning for energy and climate
Priya Donti, Co-Founder and Executive Director, Climate Change AI (CCAI)

2:40 - 3:00 pm
Afternoon Break
On livestream: theCUBE interviews

3:00 - 3:15 pm
Technical Vision Talk
Openscapes: Better Science for Future Us
Julia Stewart Lowndes, Director, Openscapes
3:15 - 3:45 pm
Panel Discussion:
Data democratization: a powerful means for creating sustainable and equitable communities
Moderator: 
Michela Taufer, 
Jack Dongarra Professor in High Performance Computing, University of Tennessee, Knoxville​
Panelists:
Priya Donti, Co-Founder and Executive Director, Climate Change AI (CCAI)
Julia Stewart Lowndes, Director, Openscapes
Nikki Tulley, Doctoral Student, University of Arizona; Indigenous Researcher, NASA Ames Research Center
3:45 - 3:50 pm
Interlude 
Supporting Mobility from Walking to Wheeling with Kat Steele and Megan Ebers 

3:50 - 4:05 pm
Technical Vision Talk
Making Biosignal Interfaces Accessible 
Momona Yamagami, Incoming Assistant Professor, Rice University

4:05 - 4:20 pm
Technical Vision Talk 
Productizing Data for Humanitarian Aid Applications
Kathryn Hymes, Lead of Product and Innovation, ​Médecins Sans Frontières-USA

4:20 - 4:28 pm
Closing Remarks

4:28 - 4:30 pm
WiDS Farewell
Margot Gerritsen, Professor Emerita & WiDS Executive Director, Stanford University

4:30 - 6:00 pm
Networking Reception 
& Career Expo with 
WiDS Sponsors

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  • 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