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WiDS Stanford Conference 2022

Summary

The Women in Data Science (WiDS) Worldwide Conference, is a technical conference featuring outstanding women doing exceptional work in data science and related fields, in a wide variety of domains. Everyone is welcome and encouraged to attend.  The conference was a hybrid event, happening in person at Stanford University and online.

 

 

Event Program

March 7, 2022

6:00 AM - 8:00 AM

Career Expo with WiDS Sponsors & Networking

6:00 AM - 6:10 AM
6:10 AM - 6:15 AM

Interlude

Yoko Ono

6:15 AM - 6:55 AM

Workshop: How can we make sense of the unseen world? Using AI, sensors, and IoT for scene exploration.

6:55 AM - 7:05 AM

Meet-the-Speaker interview on theCUBE

Cecilia Aragon

7:05 AM - 7:45 AM

Workshop: Data Storytelling for Data Scientists

Hana M.K.

7:45 AM - 7:55 AM

Meet-the-Speaker interview on theCUBE

Vidya Setlur

7:55 AM - 8:00 AM

Interlude

Catie Cuan

8:00 AM - 8:10 AM
8:10 AM - 8:25 AM

Opening Address

Debra Satz

8:25 AM - 8:55 AM
8:55 AM - 9:00 AM

Interlude

Sulakshana Sreeram

9:00 AM - 9:30 AM

Technical Vision Talks

9:30 AM - 9:50 AM

Morning Break - WiDS Interviews on theCUBE

10:35 AM - 11:05 AM

Technical Vision Talk

10:50 AM - 11:05 AM
11:05 AM - 11:10 AM

WiDS Datathon, Winners Announced

12:00 PM - 1:00 PM

Career Expo with WiDS Sponsors & Networking

1:25 PM - 1:55 PM

Technical Vision Talks

1:25 PM - 1:40 PM
1:55 PM - 2:00 PM

Interlude

Andrea Gagliano

2:00 PM - 2:40 PM
2:40 PM - 3:00 PM

Afternoon Break - On Livestream: WiDS Interviews by theCUBE

3:00 PM - 3:30 PM
3:30 PM - 3:45 PM

Technical Vision Talks

4:00 PM - 4:15 PM

Interlude

Chiara Sabatti

4:15 PM - 4:20 PM

Technical Vision Talks

4:20 PM - 4:50 PM

Using Wearable Data to Empower Individuals in Managing Their Health

4:35 PM - 4:50 PM

Closing Address

Denice Ross

4:50 PM - 5:00 PM
5:00 PM - 6:00 PM

*All times are UTC -8

Speakers

Cecilia Aragon

Professor, Department of Human Centered Design & Engineering, University of Washington

Tierra Bills

Assistant Professor, University of California, Los Angeles

Nadia Fawaz

Senior Staff Applied Research Scientist - Tech Lead Inclusive AI at Pinterest

Maria Gargiulo

Statistician, HRDAG (Human Rights Data Analysis Group)

Margot Gerritsen

Executive Director

Alex Hanna

Director of Research, The Distributed AI Research Institute (DAIR)

Tina Hernandez Boussard

Associate Professor, Stanford University

Sharon Hutchins

VP, Chief of AI+Data Operations, Intuit

Rukmini Iyer

Corporate President, Microsoft

Sharada Kalanidhi

Director of Data Science, Stanford University

Shruti Karulkar

Quality Engineering Manager, MathWorks

Torey Lee

Technical Lead - Health Data Science, WHOOP

Nandi Leslie

Principal Technical Fellow, Raytheon Technologies

Judy ​Logan

Former Co-Director, WiDS Worldwide

Hana M.K.

Data Storytelling and Presentation Instructor Host of “The Art of Communicating Data” Show

Karen Matthys

Executive Director External Partners, Stanford University, ICME

Sarah Mohamed

Senior Software Engineer, MathWorks

Weiwei Pan

WiDS Datathon Initiative Director, Research Associate, Harvard University

Denice Ross

General Support Global Lead, Media Operations, Facebook

Chiara Sabatti

Associate Professor, Stanford

Debra Satz

Professor, Stanford University

Vidya Setlur

Head Of Research, Tableau,

Loren Shure

Consulting Application Engineer, MathWorks

Maggie Wang

Autonomy Engineer, Skydio

Louvere Walker-Hannon

Application Engineering Senior Team Lead, MathWorks

Suzanne Weekes

Executive Director at Society for Industrial and Applied Mathematics (SIAM)

Videos

A Turing Test for Chest Radiology AI | Tanveer Syeda-Mahmood | IBM | WiDS 2022

TOPICS: Data Generation/Collection

Alex Hanna, The DAIR Institute | WiDS 2022

TOPICS: Algorithms , Values

Andrea Gagliano | Getty Images | WiDS 2022

TOPICS: Algorithms

Beyond Bias: Algorithmic Unfairness, Infrastructure and Genealogies of Data | Alex Hanna | WiDS 2022

TOPICS: Algorithms , Values

Career Panel | WiDS 2022

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

Catie Cuan | Stanford University | WiDS 2022

TOPICS:

Cecilia Aragon, University of Washington | WiDS Worldwide Conference 2022

TOPICS: Algorithms , Values

Closing Address | Rukmini Iyer | Microsoft | WiDS 2022

TOPICS: Data Science as a Career , Software Design and Engineering

Confronting Data Bias in Travel Demand Modeling | Tierra Bills | UCLA | WiDS 2022

TOPICS: Algorithms , Data Wrangling , Values

Other Media

Livestream Link

Youtube Playlist