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WiDS Stanford Conference 2022

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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.

 

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)

Jinoos Yazdany

Chief of Rheumatology, Zuckerberg San Francisco General Hospital

Jessica Granderson

Director for Building Technology, White House Council on Environmental Quality

Ling Jin

Research Scientist, Lawrence Berkeley National Laboratory

Diane Tang

Google Fellow, Google

Sulakshana Sreeram

Associate Director- Industry Relations & Initiatives, ​Sri Vishnu Educational Society

Michelle Rodriguez Serra

Professor and Researcher at Universidad del Pacifico

Yoko Ono

Statistics and Data Science Professor at Yokohama City University

Clara Lapiedra

Founder & CEO, AULA MAGNA Business School

Andrea Gagliano

Head of Data Science, AI/ML at Getty Images,

Susan Wojcicki

CEO, YouTube

Videos

WiDS 2022 Highlights

TOPICS: Data Science as a Career , Values

WiDS 2022 Opening Video

TOPICS: Algorithms , Data Science as a Career

Virtual Opening Address | Michelle Rodriquez Serra | Universidad del Pacifico

TOPICS: Values

Yoko Ono | Yokohama City University | WiDS 2022

TOPICS: Data Science as a Career , Foundations (Mathematics/Statistics) , Values

Opening Address | Debra Satz | Stanford University | WiDS 2022

TOPICS: Algorithms , Data Science as a Career , Values

Keynote: The Rigorous and Human Life of Data | Cecilia Aragon | University of Washington

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

Sulakshana Sreeram | WiDS Hyderabad | WiDS 2022

TOPICS: Data Science as a Career

Estimating Undocumented Human Rights Violations in Conflict Settings | Maria Gargiulo | HRDAG

TOPICS: Data Generation/Collection , Foundations (Mathematics/Statistics) , Values

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

TOPICS: Data Generation/Collection

Panel: Data Science in Healthcare: Opportunities & Challenges | WiDS 2022

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

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

TOPICS: Algorithms , Values

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

TOPICS: Algorithms , Data Wrangling , Values

Panel: Algorithms and Data for Equity | WiDS 2022

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

Keynote: What makes intelligent visual analytics tools really intelligent? | Vidya Setlur | Tableau

TOPICS: Algorithms , Values

Catie Cuan | Stanford University | WiDS 2022

TOPICS:

Inclusive Search and Recommendations | Nadia Fawaz | Pinterest | WiDS 2022

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

A Mathematician’s View of Machine Learning (and Why It Matters) | Tamara Kolda | MathSci.ai

TOPICS: Algorithms , Foundations (Mathematics/Statistics)

Andrea Gagliano | Getty Images | WiDS 2022

TOPICS: Algorithms

Career Panel | WiDS 2022

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

Fireside Chat | Susan Wojcicki & Diane Tang | WiDS 2022

TOPICS: Algorithms , Data Science as a Career , Values

Skydio Autonomy: Data-Driven Approaches Towards Real-Time 3D Reconstruction in Drones | Maggie Wang

TOPICS: Algorithms , Data Generation/Collection , Hardware

Unsupervised Learning for Network Intrusion Detection | Nandi Leslie | Raytheon | WiDS 2022

TOPICS: Algorithms

Replication, Robustness and Interpretability: Improving How We Communicate Scientific Findings | Chiara Sabatti

TOPICS: Algorithms , Values

Using Wearable Data to Empower Individuals in Managing Their Health | Torey Lee | WHOOP | WiDS 2022

TOPICS: Algorithms , Data Science as a Career

Data Science for Equitable Recovery and Resilience | Denice Ross

TOPICS: Algorithms , Data Generation/Collection , Values

Closing Address | Rukmini Iyer | Microsoft | WiDS 2022

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

WiDS Datathon 2022

TOPICS: Algorithms , Data Generation/Collection

WiDS Educational Outreach 2022

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

LIVE: Women in Data Science (WiDS) Worldwide Conference 2022

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

Tierra Bills, UCLA | WiDS 2022

TOPICS: Data Generation/Collection , Values

Tina Hernandez Boussard | WiDS 2022

TOPICS: Algorithms , Data Science as a Career , Values

Alex Hanna, The DAIR Institute | WiDS 2022

TOPICS: Algorithms , Values

Maggie Wang, Skydio | WiDS 2022

TOPICS: Algorithms , Data Generation/Collection

Nandi Leslie, Raytheon | WiDS 2022

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

Rukmini Iyer, Microsoft | WiDS 2022

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

Hannah Sperling, SAP | WiDS 2022

TOPICS: Algorithms , Values

Sharon Hutchins, Intuit | WiDS 2022

TOPICS:

Cecilia Aragon, University of Washington | WiDS Worldwide Conference 2022

TOPICS: Algorithms , Values

Vidya Setlur, Tableau | WiDS 2022

TOPICS: Algorithms , Values

WiDS & Women in Tech: International Women’s Day Wrap

TOPICS: Algorithms , Values

Maria Gargiulo, Human Rights Data Analysis Group | WiDS 2022

TOPICS: Data Science as a Career , Foundations (Mathematics/Statistics) , Values

Other Media

Livestream Link

Youtube Playlist