Women in Data Science Conference ¿­ÐýÃŹÙÍø 2023

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Wednesday, Mar 8 2023, 11:00 AM - 4:35 PM, CAPA Symposium
Contact:
Women in Data Science ¿­ÐýÃŹÙÍø

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