WiDS Stanford Conference 2020
Join Us
The WiDS 2020 Conference at Stanford University featured keynotes, technical vision talks, an ethics panel, career panel, lunchtime breakouts, and multiple opportunities to network with other attendees.
Speakers
Judy Logan
Former Co-Director, WiDS Worldwide
Karen Matthys
Executive Director External Partners, Stanford University, ICME
Persis Drell
Provost of Stanford University
Margot Gerritsen, WiDS Worldwide, Stanford University
Co-Founder, WiDS Worldwide
Tsu-Jae King Liu
Associate Systems Engineer - MES, Caltrol Inc.
Daphne Koller
Founder and CEO, Insitro
Fanny Chevalier
Assistant Professor, University of TorontoUniversity of Toronto
Nhung Ho
VP of AI, Intuit
Been Kim
Staff Research Scientist, Google Brain
Emily Glassberg-Sands
Head of Information, Stripe
Ya Xu
Rama Akkiraju
VP AI/ML for IT, NVIDIA
Newsha Ajami
Chief Strategy and Development Officer for Research, Berkeley Lab
Talithia Williams
Associate Professor of Mathematics, Harvey Mudd College
Aslihan Demirkaya
Research Scientist | Artificial Intelligence, Data Science, Amazon
Lucy Bernholz
Senior Research Scholar, Director, Digital Civil Society Lab, Stanford University
Lynn Kirabo
PhD Student, Carnegie Mellon University
Rukmini Iyer
Corporate President, Microsoft
Denice Ross
General Support Global Lead, Media Operations, Facebook
Andrea Gagliano
Head of Data Science, AI/ML at Getty Images,
Meredith Lee
Chief Technical Advisor to the Associate Provost UC Berkeley Computing, Data Science, & Society
Videos
Machine Learning: A New Approach to Drug Discovery | Daphne Koller | WiDS 2020
TOPICS: Algorithms , Data Science as a Career , Foundations (Mathematics/Statistics)
Ethics Panel | WiDS 2020
TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Data Wrangling , Foundations (Mathematics/Statistics) , Values
Creating Global Economic Opportunity with Responsible Data Science | Ya Xu | WiDS 2020
TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Values
Don’t Look. See! Are We Blinded by Data (Visualization)? | Fanny Chevalier | WiDS 2020
TOPICS: Algorithms , Data Science as a Career , Data Wrangling , Values
WiDS High School Announcement
TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Foundations (Mathematics/Statistics)
WiDS Next Gen Overview Video
TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Foundations (Mathematics/Statistics)
Polyglot AI: The Role of Natural Language Processing (NLP) | Rama Akkiraju | WiDS 2020
TOPICS: Algorithms , Data Generation/Collection , Values
Know Thyself: Introspective Personal Data Mining | Talithia Williams | WiDS 2020
TOPICS: Algorithms , Foundations (Mathematics/Statistics)
Why a World with AI Needs More EQ | Tsu-Jae King Liu | WiDS 2020
TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Data Wrangling , Software Design and Engineering , Values
Data Science in a Cloud World: What Every Data Scientist Needs to Know | Nhung Ho | WiDS 2020
TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Foundations (Mathematics/Statistics)
Building Water Security From the Bottom Up by Leveraging Big Data | Newsha Ajami | WiDS 2020
TOPICS: Algorithms , Data Generation/Collection
Career Panel | WiDS 2020
TOPICS: Algorithms , Data Science as a Career , Foundations (Mathematics/Statistics) , Values
How Data Science Can Unlock Teaching & Learning at Scale | Emily Glassberg Sands | WiDS 2020
TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Foundations (Mathematics/Statistics) , Values
Interpretability For Everyone | Been Kim | WiDS 2020
TOPICS: Algorithms , Data Generation/Collection , Values
UPDATED VIDEO: WiDS Datathon 2020 Webinar: Lessons Learned + Best Practices with Health Data
TOPICS: Algorithms , Data Generation/Collection , Data Wrangling , Values
WiDS 2020 Highlights on theCUBE
TOPICS: Algorithms , Data Generation/Collection , Foundations (Mathematics/Statistics) , Values
Newsha Ajami, Stanford University | Stanford Women in Data Science (WiDS) Conference 2020
TOPICS: Algorithms , Data Wrangling , Foundations (Mathematics/Statistics)
Emily Glassberg Sands, Coursera | Stanford Women in Data Science (WiDS) Conference 2020
TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Foundations (Mathematics/Statistics)
Lucy Bernholz, Stanford University | Stanford Women in Data Science (WiDS) Conference 2020
TOPICS: Data Science as a Career , Values
Nhung Ho, Intuit | Stanford Women in Data Science (WiDS) Conference 2020
TOPICS: Algorithms , Data Generation/Collection
Talithia Williams, Harvey Mudd College | Stanford Women in Data Science (WiDS) Conference 2020
TOPICS: Data Wrangling , Foundations (Mathematics/Statistics) , Values
Daphne Koller, insitro | Stanford Women in Data Science (WiDS) Conference 2020
TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Foundations (Mathematics/Statistics)
John Hoegger, Microsoft | Stanford Women in Data Science (WiDS) Conference 2020
TOPICS: Data Science as a Career , Values
Other Media
Youtube Playlist