Conferences / Women in Data Science (WiDS) Conference
WiDS Stanford Conference 2023
Mar 8, 2023 · Frances C. Arrillaga Alumni Center, Stanford University, Stanford, CA, United States
- Conference
- Women in Data Science (WiDS) Conference Data science & ML
- Dates
- Mar 8, 2023
- Venue
- Frances C. Arrillaga Alumni Center, Stanford University
- Place
- Stanford, CA, United States
- Format
- Hybrid
- Status
- Past
- Attendance
- —
- Website
- widsworldwide.org
- Recorded
- 17 sponsors · 33 speaker appearances
- Notes
- Flagship conference at Stanford (in person, with livestream). Speaker affiliations are the titles shown on the WiDS Worldwide speaker profiles, which may be current rather than as of the event. Talk titles and YouTube links matched from the event's video list; speakers without a matching video have no title. Sponsors listed without tiers.
Ticket prices
No ticket prices recorded
Sponsors 17
Speakers and talks 33
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Gayatree Ganu | Meta | Keynote | Keynote: Why ‘users first’ is important for a good monetization | Video |
| Maria Elena Monzani | SLAC National Accelerator Laboratory | Keynote | Keynote: A Sparkle in the Dark The Outlandish Quest for Dark Matter | Video |
| Srinija Srinivasan | Loove | Keynote | Opening Address | Video |
| Adriana Velez Thames | Springboard Alumni | Speaker | Preparing for a career in DS | Video |
| Amanda Milberg | Dataiku | Speaker | — | — |
| Becki Cook | QUT | Speaker | — | — |
| Carolyn Bertozzi | Stanford University | Speaker | — | — |
| Desi Small-Rodriquez | UCLA | Speaker | — | — |
| Elaine Yi Xu | Intuit | Speaker | Preparing for a career in DS | Video |
| Gabriela de Queiroz | Microsoft | Speaker | Embrace the journey: learnings & inspiration from a non linear path into Data | Video |
| Irene Dankwa-Mullan | Merative | Speaker | Harnessing AI and Data Science for Health Equity within Communities | Video |
| Jennifer Pan | Stanford University | Speaker | Uncovering Online Censorship and Propaganda in China | Video |
| Jennifer Pan | Stanford University | Speaker | Putting our values into practice in data science | Video |
| Jhanvi Shriram | Krikey | Speaker | Bringing Motion Diffusion Models to Immersive Entertainment | Video |
| Julia Stewart Lowndes | Openscapes | Speaker | Openscapes Supporting Kinder Science for Future Us | Video |
| Julia Stewart Lowndes | Openscapes | Panelist | Data Democratization Panel | Video |
| Kathryn Hymes | — | Speaker | Productizing Data for Humanitarian Aid Applications | Video |
| Ketaki Shriram | Krikey | Speaker | Bringing Motion Diffusion Models to Immersive Entertainment | Video |
| Margot Gerritsen | WiDS Worldwide | Speaker | — | — |
| Marisa Torres | Lawrence Livermore National Laboratory | Speaker | Killing Diseases with Really Big Computers: Building Analysis Tools to Solve Disease | Video |
| Megan Price | HRDAG (Human Rights Data Analysis Group) | Speaker | What is the Cost of Being Wrong | Video |
| Megan Price | HRDAG (Human Rights Data Analysis Group) | Speaker | Putting our values into practice in data science | Video |
| Michela Taufer | University of Tennessee, Knoxville | Panelist | Data Democratization Panel | Video |
| Momona Yamagami | Rice University | Speaker | Making Biosignal Interfaces Accessible | Video |
| Montserrat Cordero | Youcubed | Speaker | Preparing for a career in DS | Video |
| Nikki Tulley | University of Washington | Panelist | Data Democratization Panel | Video |
| Priya Donti | Climate Change AI (CCAI) | Speaker | Optimization in the loop machine learning for energy and climate | Video |
| Priya Donti | Climate Change AI (CCAI) | Panelist | Data Democratization Panel | Video |
| Sanne Smith | Stanford University | Speaker | Preparing for a career in DS | Video |
| Susan Malaika | IBM | Speaker | — | — |
| Trina Reynolds-Tyler | Invisible Institute | Speaker | Putting our values into practice in data science | Video |
| Trina Reynolds-Tyler | Invisible Institute | Speaker | Proportionate Impacts of Policing in Chicago | Video |
| Wendy Ku | Getty Images | Speaker | Real World Successes and Lessons Learned in Deploying ML Models | Video |