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Events | Central Conferences | WiDS Stanford 2024

WiDS Stanford 2024

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The Women in Data Science Worldwide conference at Stanford University is a technical conference that features outstanding women discussing their exceptional work in data science, AI, and related fields, across a wide range of domains. Celebrated on March 8, 2024 – International Women’s Day.

  • Get inspired by a great lineup of keynote speakers, tech talks, and panel discussions featuring fantastic speakers from industry, academia, NGOs, and government. You can find the list of speakers below. Notable keynote speakers include Ellen Pao and Professor Manisha Desai from Stanford University.
  • Explore the conference’s four central themes: Digital Economies, Child Safety and Health, Sustainability, and Space.

The WiDS Worldwide, Stanford Conference is supported by many hands. View our thanks.

For conference questions, please email: widsconference@stanford.edu

Speakers

Jenny Martinez

Provost and Professor of Law, Stanford University

Ellen Pao

CEO, Project Include

Zehra Venugopal

CIO of Fraud and Claims Technology, Wells Fargo

Manisha Desai

Kim and Ping Li Professor of Medicine and Biomedical Data Science, Stanford University

Sam Sharma

Satellite Systems Engineer, Starfish Space

Hye Min Cho

Data Scientist, Refik Anadol Studio

Radhika Shah

CoPresident Stanford Angels & Entrepreneurs, Founding CoChair UN Joint SDG Fund Breakthrough Alliance

Victoria Da Poian

Data Scientist, NASA Goddard Space Flight Center

Alice Chen Zhang

Data Science Manager, Charging/Energy Services & Cycle Plan Analytics, Ford

Rebecca Portnoff

Head of Data Science, Thorn

Nicole Carignan

VP Strategic Cyber AI, Darktrace

Ashley Raigosa

Undergraduate Studying Computer Science and Astronautics, Stanford University

Zanele Munyikwa

PhD Candidate in Information Technologies, MIT

​Laura Bravo Sánchez

PhD Candidate, Department of Biomedical Data Science, Stanford University

Sandra Moerch

Global Content Marketing Manager, Autodesk Education Experiences

Aya Mouallem

Engineering PhD Candidate at Stanford University, Co-Founder of All Girls Code, Stanford University

Kimberly Babiarz

Research Director, Stanford Human Trafficking Data Lab, Stanford University

Tina Tang

Head of Operations

Videos

WiDS Welcome | Margot Gerritsen | WiDS Stanford 2024

TOPICS: Data Science Conference

Opening Address | Jenny Martinez | WiDS Stanford 2024

TOPICS: Data Science Conference

Keynote: A Conversation with Ellen Pao on Leadership, Advocacy, and Lasting Impact.

TOPICS: Data Science Conference , Leadership/Management , Values

Digital Innovation & Data Science as Accelerants of the Sustainable Development Goals | Radhika Shah

TOPICS: Data Science as a Career , Data Science Conference

Toward a Deeper Understanding of Our Climate System Through Data Science | Emily Gordon

TOPICS: Data Generation/Collection , Data Science Conference , Digital Strategy

Driving Sustainability at Ford: How Data Science Enables the Transition | Alice Chen Zhang

TOPICS: Data Science as a Career , Data Science Conference , Digital Strategy

Sustainability Panel | Radhika Shah, Emily Gordon, Alice Chen Zhang

TOPICS: Data Science as a Career , Leadership/Management

Securing the Future of AI: The Role of Data Science | Nicole Carignan

TOPICS: Analytics , Business Intelligence , Data Science Conference , Data Wrangling

Shaping Tomorrow with Data-Driven Insights: Navigating the Future of Work in the Digital Era | Zanele Munyikwa

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

Is AI Killing our Purpose? | Sandra Moerch

TOPICS: Data Science as a Career , Data Science Conference

Digital Economies Panel: Nicole Carignan, Zanele Munyikwa, Sandra Moerch

TOPICS: Data Science as a Career , Data Science Conference

Keynote & Fireside Chat: Leveraging AI/ML to Fight Fraud | Zehra Venugopal

TOPICS: Data Science as a Career , Data Science Conference , Digital Strategy

Refik Anadol Studio: Machine Hallucinations & Large Nature Model | Hye Min Cho

TOPICS: Data Science as a Career , Data Science Conference , Data Visualization

Keynote: Can Data Science and AI Deliver on its Promise for Improving Public Health? | Manisha Desai

TOPICS: Data Science as a Career , Data Science Conference , Values

Engaging with ML/AI: Combating Child Sexual Abuse | Rebecca Portnoff

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

How Can Computer Vision Guide the Understanding of Parent-Child Interactions? | Laura Bravo Sánchez

TOPICS: AI , Analytics , Data Generation/Collection , Data Science as a Career , Data Science Conference

Bringing AI-Driven Technologies to the Fight Against Human Trafficking in Brazil | Kimberly Babiarz

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

Child Safety and Health Panel: Rebecca Portnoff, Laura Bravo Sánchez, Kimberly Babiarz

TOPICS: Data Science as a Career , Data Science Conference

Poster Blitz

TOPICS: Career Advancement , Data Science Conference

Mission Possible: Leveraging Data for Otter Pup Rescue and Satellite Operations | Sam Sharma

TOPICS: AI , Business Intelligence , Data Science as a Career , Data Science Conference

Traversing the Data Desert: Pioneering Low-Cost CubeSats | Ashley Raigosa

TOPICS: AI , Data Generation/Collection , Data Science as a Career , Data Science Conference

Towards Science Autonomy for Planetary Missions: Data Science and Machine Learning to Support Future Missions to Mars, Titan, and Ocean Worlds | Victoria Da Poian

TOPICS: AI , Algorithms , Business Intelligence , Data Science as a Career , Data Science Conference

Space Panel: Sam Sharma, Ashley Raigosa, Victoria Da Poian

TOPICS: Data Generation/Collection , Data Science as a Career , Data Science Conference , Digital Strategy

Closing Remarks | WiDS Stanford 2024

TOPICS: Data Science Conference

Other Media

View the full conference playlist on YouTube