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WiDS Stanford Conference 2019

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The WiDS 2019 Conference at Stanford University featured keynotes, technical vision talks, a 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

Margot Gerritsen

Executive Director

Jennifer Widom

Professor, Stanford University

Padmasree Warrior

President and CEO at Fable

Hilary Parker

Chief Technology Officer, Indyx

Marzyeh Ghassemi

Healthy Machine Learning @ MIT EECS/IMES & Vector Institute

Meredith Lee

Chief Technical Advisor to the Associate Provost UC Berkeley Computing, Data Science, & Society

Anima Anandkumar

Professor of Computing and Mathematical Sciences at CalTech and Director of Research in Machine Learning, NVIDIA.,

Timnit Gebru

Founder & Executive Director, The Distributed AI Research Institute (DAIR)

Cynthia Dwork

Gordon McKay Professor of Computer Science, Harvard University

Yoky Matsuoka

Vice President, Google Health

Lori Sherer

WiDS Worldwide Advisory Committee Chair, Partner, Bain & Company

Alicia Carriquiry

Director, CSAFE

Yinglian Xie

CEO and Co-Founder, DataVisor, Inc.

Laura Kegelmeyer

Scientist / Engineer, Lawrence Livermore National Laboratory

Natalie Evans Harris

Senior Advisor for Delivery (Tech and Data), Secretary of Commerce

Emily Glassberg-Sands

Head of Information, Stripe

Emma Brunskill

Associate Professor, Computer Science Department, Stanford University

Madeleine Udell

Assistant Professor, Cornell

Videos

WIDS 2019 Highlight Video

TOPICS: Values

WiDS Opening Video 2019

TOPICS: Algorithms

Opening Remarks | Margot Gerritsen, Karen Matthys, and Judy Logan | WiDS 2019

TOPICS: Data Science as a Career , Values

Opening Address | Jennifer Widom | WiDS 2019

TOPICS: Data Generation/Collection , Data Science as a Career , Data Wrangling

Technology Driven Business Opportunities for the Next Decade | Padmasree Warrior | WiDS 2019

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

Using Data Effectively: Beyond Art and Science | Hilary Parker | WiDS 2019

TOPICS: Algorithms , Foundations (Mathematics/Statistics)

Improving Health Requires Targeting and Evidence | Marzyeh Ghassemi | WiDS 2019

TOPICS: Algorithms , Foundations (Mathematics/Statistics) , Values

WiDS Datathon Winners Announced | Meredith Lee | WiDS 2019

TOPICS: Algorithms , Data Generation/Collection , Data Wrangling

Infusing Structure into Machine Learning Algorithms | Anima Anandkumar | WiDS 2019

TOPICS: Algorithms , Foundations (Mathematics/Statistics) , Software Design and Engineering , Values

Understanding the Limitations of AI: When Algorithms Fail | Timnit Gebru | WiDS 2019

TOPICS: Algorithms , Data Science as a Career , Values

Closing Remarks | Margot Gerritsen | WiDS 2019

TOPICS: Values

Filling in Missing Data with Low Rank Models | Madeleine Udell | WiDS 2019

TOPICS: Algorithms , Data Science as a Career , Data Wrangling , Values

Better Reinforcement Learning for Human in the Loop Systems | Emma Brunskill | WiDS 2019

TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Data Wrangling , Foundations (Mathematics/Statistics)

Career Panel | WiDS 2019

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

Evolution of Machine Learning for NIF Optics Inspection | Laura Kegelmeyer | WiDS 2019

TOPICS: Algorithms

Building Trust in the Digital Age | Yinglian Xie | WiDS 2019

TOPICS: Algorithms , Data Wrangling , Foundations (Mathematics/Statistics)

Machine Learning and the Evaluation of Criminal Evidence | Alicia Carriquiry | WiDS 2019

TOPICS: Algorithms , Foundations (Mathematics/Statistics)

Fireside Chat | Yoky Matsuoka & Lori Sherer | WiDS 2019

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

Differential Privacy and the US Census | Cynthia Dwork | WiDS 2019

TOPICS: Algorithms , Foundations (Mathematics/Statistics)

Srujana Kaddevarmuth, Accenture | WiDS 2019

TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Foundations (Mathematics/Statistics)

Kavita Sangwan, Intuit | WiDS 2019

TOPICS: Algorithms , Data Science as a Career , Values

Madeleine Udell, Cornell University | WiDS 2019

TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Data Wrangling , Foundations (Mathematics/Statistics)

Kristina Draper, Wells Fargo | WiDS 2019

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

Janet George, Western Digital | WiDS 2019

TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Data Wrangling , Software Design and Engineering , Values

Natalie Evans Harris, BrightHive | WiDS 2019

TOPICS: Algorithms , Data Science as a Career , Values

Liza Donnelly, The New Yorker | WiDS 2019

TOPICS: Data Generation/Collection , Data Wrangling

Other Media

Youtube Playlist