WiDS Berkeley: The Global Women in Data Science Conference
The UC Berkeley School of Information is excited to partner with Stanford University to bring the Women in Data Science (WiDS) conference to Berkeley, California.
The Global Women in Data Science (WiDS) Conference is an annual one-day technical conference based at Stanford, which brings together data scientists and professionals in adjacent fields from around the globe to discuss the latest research and applications of data science in a broad set of domains. Participants learn how leading-edge companies are leveraging data science for success and connect with potential mentors, collaborators, and others in the field.
WiDS Berkeley is a regional event in association with WiDS that will feature live streamed keynotes and technical talks from the WiDS conference at Stanford. Interspersed with the main conference live stream, WiDS Berkeley will feature unique on-location technical vision talks by distinguished speakers from the Bay Area in academia, industry, government and non-profits; panel discussions with female data scientists and researchers in the space of artificial intelligence and deep learning; a student poster session; and networking opportunities throughout the day.
All genders are invited to participate in the conference, which features exclusively female speakers.
Schedule
8:30 – 9:30 am |
Breakfast |
8:45 – 9:00 am |
Welcome from the WiDS Berkeley planning committee |
9:00 – 9:10 am |
|
9:10 – 9:30 am |
|
9:30 – 10:05 am |
|
10:05 – 10:10 am |
Brief Break |
10:10 – 10:30 am |
|
10:30 – 10:50 am |
|
10:50 – 11:15 am |
Coffee Break |
11:15 – 11:35 am |
|
11:35 – 11:55 am |
|
11:55 am – 12:30 pm |
|
12:15 – 12:45 pm |
Lunch |
12:45 – 2:00 pm |
Panelists: |
2:00 – 2:35 pm |
|
2:35 – 2:55 pm |
|
2:55 – 3:15 pm |
|
3:15 – 4:15 pm |
WiDS Berkeley Career Networking Session |
4:15 – 4:35 pm |
|
4:35 – 4:55 pm |
|
4:55 – 5:15 pm |
Closing Event |
Indicates sessions live streamed from the Global Women in Data Science Conference at Stanford.
Register
Organizers
and Prathyusha Charagondla (undergraduate Berkeley student)