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Events | Central Conferences | WiDS Stanford Conference 2023

WiDS Stanford Conference 2023

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On March 8, 2023, thousands of participants gathered around the globe for the Women in Data Science (WiDS) Stanford Conference.
​View the conference program and watch conference videos from WiDS Worldwide on YouTube!

Speakers

Margot Gerritsen, WiDS Worldwide, Stanford University

Co-Founder, WiDS Worldwide

Srinija Srinivasan

Co-Founder at Loove

Amanda Milberg

Data Scientist, Dataiku

Becki Cook

Centre Manager, QUT Centre for Data Science

Jennifer Pan

Professor of Communication and FSI Senior Fellow, Stanford University

Adriana Velez Thames

Geophysicist-Data Scientist, Springboard Alumni

Elaine Yi Xu

Staff Business Data Analyst, Intuit

Gabriela de Queiroz

Principal Cloud Advocate, Microsoft

Gayatree Ganu

Vice President of Data Science at Facebook

Irene Dankwa-Mullan

Chief Health Equity Officer at Merative & Affiliate Professor, GWU Milken Institute School of Public Health

Jhanvi Shriram

Co-Founder and CEO, Krikey

Julia Stewart Lowndes

Director, Openscapes

Kathryn Hymes

Technologist, Computational Linguist, and Game Designer

Ketaki Shriram

Co-Founder, Krikey

Marisa Torres

Bioinformatics Group Leader, ​Lawrence Livermore National Lab

Megan Price

Executive Director, HRDAG (Human Rights Data Analysis Group)

Michela Taufer

ACM Distinguished Scientist, University of Tennessee Knoxville (UTK)

Momona Yamagami

Assistant Professor at Rice University Electrical & Computer Engineering

Nikki Tulley

Doctoral Student, University of Arizona

Priya Donti

Co-Founder & Executive Director, Climate Change AI (CCAI)

Sanne Smith

Director of Master's Program, Education Data Science, Stanford University

Trina Reynolds-Tyler

Data Director, Invisible Institute

Wendy Ku

Computer Vision Tech Lead, Senior Data Scientist, Getty Images

Carolyn Bertozzi

Professor, Stanford University

Desi Small-Rodriquez

Assistant Professor, Sociology and American Indian Studies, UCLA

Maria Elena Monzani

Lead Scientist, SLAC National Accelerator Laboratory

Montserrat Cordero

Mathematics Designer, Youcubed

Susan Malaika

Senior Technical Staff, IBM

Videos

WIDS at Stanford Conference Highlight Reel 2023

TOPICS: Data Science Conference

WiDS Welcome | Margot Gerritsen | WiDS Stanford 2023

TOPICS: Data Generation/Collection

Opening Address | Srinija Srinivasan | WiDS Stanford 2023

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

Keynote: Why ‘users first’ is important for a good monetization | Gayatree Ganu

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

Uncovering Online Censorship and Propaganda in China | Jennifer Pan

TOPICS: Algorithms , Data Generation/Collection

Proportionate Impacts of Policing in Chicago | Trina Reynolds-Tyler

TOPICS: Algorithms , Values

What is the Cost of Being Wrong | Megan Price

TOPICS: Algorithms , Values

Putting our values into practice in data science | Megan Price, Jennifer Pan, Trina Reynolds-Tyler

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

Real World Successes and Lessons Learned in Deploying ML Models | Wendy Ku

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

Embrace the journey: learnings & inspiration from a non linear path into Data | Gabriela de Queiroz

TOPICS: Algorithms , Data Wrangling

Killing Diseases with Really Big Computers: Building Analysis Tools to Solve Disease| Marisa Torres

TOPICS: Algorithms , Data Generation/Collection

Harnessing AI and Data Science for Health Equity within Communities | Irene Dankwa-Mullan

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

Keynote: A Sparkle in the Dark The Outlandish Quest for Dark Matter | Maria Elena Monzani

TOPICS: Algorithms , Data Generation/Collection

Preparing for a career in DS | Montse Cordero, Adriana Velez Thames, Elaine Yi Xu, Sanne Smith

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

Bringing Motion Diffusion Models to Immersive Entertainment | Jhanvi Shriram and Ketaki Shriram

TOPICS: Data Generation/Collection , Software Design and Engineering

Optimization in the loop machine learning for energy and climate | Priya Donti

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

Openscapes Supporting Kinder Science for Future Us | Julia Stewart Lowndes

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

Data Democratization Panel | Priya Donti, Julia Stewart Lowndes, Nikki Tulley, Michela Taufer

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

Making Biosignal Interfaces Accessible | Momona Yamagami

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

Productizing Data for Humanitarian Aid Applications | Kathryn Hymes

TOPICS: Algorithms , Data Generation/Collection , Values

Closing Remarks | Susan Malaika | WiDS Stanford 2023

TOPICS: Data Science as a Career

Closing Activity | Jhanvi Shriram & Ketaki Shriam | WiDS Stanford 2023

TOPICS: Data Science as a Career

Farewell | Margot Gerritsen | WiDS Stanford 2023

TOPICS: Data Science as a Career

WiDS 2023 Opening Video

TOPICS: Algorithms , Data Science as a Career

Women in Data Science | Stories of Women from Around the Globe | WiDS Stanford 2023

TOPICS: Data Generation/Collection , Featured , Values

Supporting Mobility from Walking to Wheeling featuring Kat Steele and Megan Ebers | WiDS Stanford

TOPICS:

Students Share their Work on Algorithmic Fairness in Health Care | WiDS Stanford 2023

TOPICS:

Re-Inventing your Career into Data Science | WiDS Stanford 2023

TOPICS:

Tanzanian Data Scientists Working to End the HIV Epidemic in Africa | WiDS Stanford 2023

TOPICS:

WiDS Next Gen Overview Video

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

Keynote Analysis | WiDS 2023

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

Gayatree Ganu, Meta | WiDS 2023

TOPICS: Algorithms , Data Generation/Collection , Data Wrangling

Myriam Fayad & Alexandre Lapene, TotalEnergies | WiDS 2023

TOPICS: Data Science as a Career , Values

Jacqueline Kuo, Dataiku | WiDS 2023

TOPICS: Algorithms

Rhonda Crate, Boeing | WiDS 2023

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

Shir Meir Lador, Intuit | WiDS 2023

TOPICS: Algorithms , Values

Gabriela de Queiroz, Microsoft | WiDS 2023

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

theCUBE Insights | WiDS 2023

TOPICS: Algorithms , Data Generation/Collection , Data Wrangling

Kelly Hoang, Gilead | WiDS 2023

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

Irene Dankwa-Mullan, Marti Health | WiDS 2023

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

Other Media

WiDS 2023 Stanford Conference