Women in Data Science @ Stanford Lane Medical Library

Women in Data Science (WiDS) aims to inspire and educate data scientists worldwide, regardless of gender, and to support women in the field.

“Hosted by Stanford, WiDS aims to inspire and educate data scientists worldwide, regardless of gender, and support women in the field. This annual one-day technical conference provides an opportunity to hear about the latest data science related research and applications in a broad set of domains. All genders are invited to attend the conference, which features outstanding women doing outstanding work.”

— From the global WiDS team

The Lane Medical Library at Stanford University is pleased to be an official ambassador of Women in Data Science (WiDS)* and to host an affiliated regional WiDS event.

Join us on March 2, 2020 at the Lane Medical Library. This year's theme Fearless by Design: Imagine, Innovate, Impact encourages participants to converse about data science education, transformations in the field, and challenges to overcome as a collective. We will livestream the WiDS opening session followed by a panel discussion with women in the Bay Area who have built careers in data science.

Agenda

8:45-9:00 Registration

Opening Remarks

9:00-9:15 Lane’s welcome address: Colleen Cuddy, Director of Research and Academic Collaboration, Lane Medical Library

Livestream of WiDS on the main campus

9:15-9:30 Livestream - welcome

9:30-10:00 Livestream - keynote speaker

10:00-10:40 Livestream - ethics panel

Break

10:40-10:50

Networking

10:50-11:15 Icebreaker - data acronym game

Break

11:15-11:30

Discussion Panel

11:30-1:00

Theme: Fearless by Design: Imagine, Innovate, Impact

Panelists:

1. Suzanne Tamang, Ph.D.

Assistant Faculty Director, Data Science | Stanford Center for Population Health Science

Instructor, Department of Biomedical Data Science | Stanford University

2. Ariel Deardorff, MLIS

Data Services Librarian | University of California, San Francisco Library, Data Science Initiative

3. Camelia Simoiu, Ph.D. Candidate

Computational Social Science | Stanford University

4. Vanessa Sochat, Ph.D.

Research software engineer | Stanford Research Computing Center

Lunch break

1:00-2:00 Lunch will be provided

Afternoon Livestream

2:00-5:00 Livestream of afternoon sessions at WiDS @Stanford University on the main campus (drop-in welcome)

Register now to reserve your ticket. Stay tuned to learn more.

WiDS @Lane Medical Library

Lane Medical Library & Knowledge Management Center

Stanford Medicine

300 Pasteur Drive, L109, Stanford, CA 94305