About Women in Data Science 
​The Women in Data Science (WiDS) initiative aims to inspire and educate data scientists worldwide, regardless of gender, and to support women in the field. WiDS started as a one-day technical conference at Stanford in November 2015. Five years later, WiDS is a global movement that includes a number of worldwide initiatives:
  • A conference with 150+ regional events worldwide in more than 60 countries, reaching 100,000 participants annually online and in person.
  • A datathon, encouraging participants to hone their skills using a social impact challenge. 
  • A podcast series, featuring data science leaders from around the world talking about their work, their journeys, and lessons learned along the way
  • An education outreach program to encourage secondary school students to consider careers in data science, artificial intelligence (AI), and related fields. 

Participate

Become a WiDS Ambassador

Become a WiDS Ambassador to bring
WiDS Worldwide to your cohort, colleagues, or community. Applications now open! 

Save the Date for WiDS Worldwide

The first 24-hour WiDS Worldwide conference will take place on International Women's Day, March 8th. Join us as we follow the sun around the world.

​Get Ready for the WiDS Datathon

Build a team, hone your data science skills, and join us in this year’s WiDS Datathon challenge focused on social impact. 

Apply to become a WiDS Ambassador by
January 8, 2021

Featured on the WiDS Podcast

Femke Vossepoel, Delft University of Technology

Femke Vossepoel, Professor in Geoscience and Engineering at Delft University of Technology in the Netherlands, explains how data assimilation tools can be used to improve COVID-19 forecasting models.

WiDS 2020 Videos

On March 2, 2020, 400+ people gathered at Stanford University and thousands more gathered across the globe for the 5th annual Women in Data Science (WiDS) Conference. View the full conference program, and watch all presentations from WiDS Stanford.
  
photo credit: Ved Chirayath

Sponsors

Global Visionaries
Innovation Leaders
Stanford Sponsors

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© 2020 Women in data science