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