WiDS Berkeley: Women in Data Science at UC Berkeley
Sponsored by the School of Information; Division of Computing, Data Science and Society; One IT; D-Lab; Research IT; Research, Teaching, and Learning; UC Berkeley Library
Join us for a series of events celebrating Women in Data Science at UC Berkeley. WiDS Berkeley is an independent event that is organized by the UC Berkeley WiDS ambassadors part of the annual WiDS Worldwide conference organized by Stanford University and an estimated 150+ locations worldwide, which features outstanding women doing outstanding work in the field of data science. All genders are invited to attend all WiDS Worldwide conference events.
We will stream content from the global WiDS events and provide live, virtual programming for the UC Berkeley campus throughout the week featuring distinguished scholars and practitioners from across the Bay Area and the world.
Schedule
Monday, March 8, 2021
WiDS international programming
Tuesday, March 9, 2021: Data Science in Research
10:00 am — Keynote address
Vivienne Ming
Co-Founder & Executive Chair, Socos Labs
11:00 am — Tech Talks
- Anja Feldmann, Professor, Max Planck Institute
- Tiffany Tang, Ph.D. candidate, Statistics
- Fatema Wala, ESNet Security Engineer
- Caroline Figueroa, MD and Postdoc, Digital Health Initiative
Register for Tuesday’s Sessions
Wednesday, March 10, 2021: Data Science for Students
10:00 am — Keynote address
Debbie Bard
Data Science Engagement Group Lead
National Energy Research Scientific Computing Center (NERSC)
Berkeley National Lab
11:00 am — Student Lightning Talks
Register for Wednesday’s Sessions
Thursday, March 11, 2021: Mentorship + Networking
10:00 am — Panel Discussion
- Dr. Claudia von Vacano (moderator)
- Renata Barreto-Montenegro
- Professor Laura K Nelson
- Professor Rochelle Terman
11:00 am — Virtual Networking
Register for Thursday’s Sessions
If after four days of our data science program you are up for even more, we recommend you have a look at the Women in Tech Symposium on Friday, March 12.
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Code of Conduct
The Women in Data Science (WiDS) Conference seeks to support all participants from across the world in an inclusive, safe, and welcoming environment. All participants are expected to be considerate, respectful, and collaborative, and will refrain from demeaning, discriminatory, or harassing behavior and speech....
Accessibility
If you require an accommodation for effective communication (ASL interpreting, CART captioning, alternative media formats, etc.) or information about mobility access in order to fully participate in this event, please contact Zhanara Gallegos and Erin Foster at wids@berkeley.edu with as much advance notice as possible and at least 7–10 days in advance of the event.