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WiDS Stanford Conference 2020

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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

Executive Director

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

LinkedIn

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

WiDS 2020 Highlight Video

TOPICS: Algorithms , Values

WiDS 2020 Opening Video

TOPICS:

WiDS Welcome | Margot Gerritsen, Karen Matthys and Judy Logan | WiDS 2020

TOPICS:

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 Datathon 2020

TOPICS: Data Generation/Collection , Data Wrangling

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

Global Women in Data Science (WiDS) Conference at Stanford

TOPICS: Values

Opening Address | Persis Drell | WiDS 2020

TOPICS: Data Science as a Career

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

Ya Xu, LinkedIn | Stanford Women in Data Science (WiDS) Conference 2020

TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Values

Lillian Carrasquillo, Spotify | Stanford Women in Data Science (WiDS) Conference 2020

TOPICS: Data Science as a Career , Values

Other Media

Youtube Playlist