Events WiDS Stanford Conference 2020
WiDS Stanford Conference 2020
Summary
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.
Event Type
Central Conference
Date
March 2, 2020
Time
8:00 am - 7:00 pm (UTC -8)
Location
Frances C. Arrillaga Alumni Center
326 Galvez Street
Event Type
In-Person
Language
English
Sponsors
Walmart Labs
Microsoft
Google
Intuit
Wells Fargo
Total
General Motors
IBM
MathWorks
Facebook
Stanford President's Office
Stanford Data Science
Stanford ICME
Social Links
Facebook
Twitter
LinkedIn
Youtube
Event Program
March 2, 2020
12:30- 2:00 pm
Lunch and Breakout Sessions -On livestream: WiDS interviews by theCube
3:30 - 4:10 pm
Career Panel
Rukmini Iyer
Talithia Williams
Denice Ross
Lillian Carrisquillo
4:50 - 5:00 pm
Closing Remarks
Margot Gerritsen
*All times are UTC -8
Speakers
Former Co-Director, WiDS Worldwide
Executive Director External Partners, Stanford University, ICME
Provost of Stanford University
Associate Systems Engineer - MES, Caltrol Inc.
Assistant Professor, University of TorontoUniversity of Toronto
Staff Research Scientist, Google Brain
Head of Information, Stripe
Chief Strategy and Development Officer for Research, Berkeley Lab
Associate Professor of Mathematics, Harvey Mudd College
Research Scientist | Artificial Intelligence, Data Science, Amazon
Senior Research Scholar, Director, Digital Civil Society Lab, Stanford University
PhD Student, Carnegie Mellon University
Corporate President, Microsoft
General Support Global Lead, Media Operations, Facebook
Head of Data Science, AI/ML at Getty Images,
Chief Technical Advisor to the Associate Provost
UC Berkeley Computing, Data Science, & Society
Videos
Been Kim | Interpretability for Everyone | WiDS Stanford 2020
TOPICS:
Algorithms , Data Generation/Collection , Data Science as a Career , Values
Career Panel | WiDS 2020
TOPICS:
Algorithms , Data Science as a Career , Foundations (Mathematics/Statistics) , Values
Data Slayer – How historical sword principles apply to data science | WiDS Auckland 2020
TOPICS:
Algorithms , Foundations (Mathematics/Statistics)
Elena Grewal | Scaling Data Science | WiDS Stanford 2020
TOPICS:
Algorithms , Data Science as a Career , Data Wrangling
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)
Ethics Panel | WiDS 2020
TOPICS:
Algorithms , Data Generation/Collection , Data Science as a Career , Data Wrangling , 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
Fanny Chevalier | Don’t Look. See! Are We Blinded by Data (Visualization)? | Stanford 2020
TOPICS:
Algorithms , Data Science as a Career , Data Wrangling , Values
Interpretability For Everyone | Been Kim | WiDS 2020
TOPICS:
Algorithms , Data Generation/Collection , Values
Know Thyself: Introspective Personal Data Mining | Talithia Williams | WiDS 2020
TOPICS:
Algorithms , Foundations (Mathematics/Statistics)
Lucy Bernholz, Stanford University | Stanford Women in Data Science (WiDS) Conference 2020
TOPICS:
Data Science as a Career , Values
Machine Learning: A New Approach to Drug Discovery | Daphne Koller | WiDS 2020
TOPICS:
Algorithms , Data Science as a Career , Foundations (Mathematics/Statistics)
Newsha Ajami interview by theCube | Stanford 2020
TOPICS:
Algorithms , Foundations (Mathematics/Statistics)
Newsha Ajami, Stanford University | Stanford Women in Data Science (WiDS) Conference 2020
TOPICS:
Algorithms , Data Wrangling , Foundations (Mathematics/Statistics)
Nhung Ho, Intuit | Stanford Women in Data Science (WiDS) Conference 2020
TOPICS:
Algorithms , Data Generation/Collection
Opening Address | Persis Drell | WiDS 2020
TOPICS:
Data Science as a Career
Polyglot AI: The Role of Natural Language Processing (NLP) | Rama Akkiraju | WiDS 2020
TOPICS:
Algorithms , Data Generation/Collection , Values
Stanford Ethics Panel: Lynn Kirabo, Lucy Bernholz and Aslihan Dermikaya | Stanford 2020
TOPICS:
Algorithms , Data Generation/Collection , Data Science as a Career , Data Wrangling , Foundations (Mathematics/Statistics) , Software Design and Engineering , Values
Talithia Williams, Harvey Mudd College | Stanford Women in Data Science (WiDS) Conference 2020
TOPICS:
Data Wrangling , Foundations (Mathematics/Statistics) , Values
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
WiDS 2020 Highlight Video
TOPICS:
Algorithms , Values
WiDS Welcome | Margot Gerritsen, Karen Matthys and Judy Logan | WiDS 2020
