Women in Data Science Conference ¿ÐýÃŹÙÍø 2023

OPEN TO THE PUBLIC | Simulcasting Stanford University's WiDS Conference, featuring keynotes, technical vision talks, fireside chats, and networking opportunities.
WiDS ¿ÐýÃŹÙÍø is an independent event that is organized by Niki Karanikola, Mohammad Tanvir, and other ¿ÐýÃŹÙÍø College students as part of the annual WiDS Worldwide conference organized by Stanford University and an estimated 200+ locations worldwide, which features outstanding women doing outstanding work in the field of data science. All people are invited to attend all WiDS Worldwide conference events. WiDS ¿ÐýÃŹÙÍø encourages people to get out of their comfort zone and try something new.
For more, see the , , , or Instagram.
Agenda:
11:00-11:25 Registration
11:25-11:30 WiDS Welcome
, ¿ÐýÃŹÙÍø College Senior and WiDS Ambassador
11:30-11:45 Opening Address
, ¿ÐýÃŹÙÍø College President
11:45-12:10 Key Note and Remarks
, ¿ÐýÃŹÙÍø College Computer Science Faculty
12:10-12:15 Interlude—- Stanford Start
Stories of WiDS Women from Around the Globe featuring , and .
12:15-12:30 Technical Vision Talk
Uncovering Online Censorship and Propaganda in China
, Professor of Communication and FSI Senior Fellow, Stanford University
12:30-12:45 Technical Vision Talk
(DIS) Proportionate Impacts of Policing in Chicago
Data Director, Invisible Institute
12:45-13:00 Technical Vision Talk
, Assistant Professor of Sociology and American Indian Studies, UCLA
13:00-13:20 Break
13:20-14:10 Fireside Chat
Experiences of female data professionals
, Senior Manager, Machine Learning at Procore Technologies
, ¿ÐýÃŹÙÍø College Computer Science Faculty
, Founder & CEO of Lucea AI
, Strategic Accounts Manager at Digital, Data, and Design (D^3) Institute at Harvard
14:10-14:25 Technical Vision Talk
Embrace the journey: learnings and inspiration from a non-linear path into Data Science
, Cloud Advocate, Microsoft
14:25-14:30 Interlude
Students and share their work on Algorithmic Fairness in Health Care, along with .
14:30-14:45 Technical Vision Talk
Killing Diseases with Really Big Computers: Building Analysis Tools to Solve Disease
, Bioinformatics Lead, Lawrence Livermore National Lab (LLNL)
14:45-15:00 Technical Vision Talk
Harnessing AI and Data Science for Health Equity within Communities
, Chief Health Equity Officer at Merative & Affiliate Professor at GWU Milken Institute School of Public Health
15:00-15:55 Networking break with food and drinks
16:00-16:30 Keynote Address—Stanford End
A Sparkle in the Dark: The Outlandish Quest for Dark Matter
, Lead Scientist, SLAC National Accelerator Lab
16:30-16:35 Closing Remarks
, ¿ÐýÃŹÙÍø College Computer Science Faculty
, ¿ÐýÃŹÙÍø College Senior and WiDS Ambassador