Women in Data Science
We envision a future in which women are fully integrated and represented in all areas of Data Science, including AI, and share equally in Decision Making, Economic Prosperity, and Opportunities.
We envision a future in which women are fully integrated and represented in all areas of Data Science, including AI, and share equally in Decision Making, Economic Prosperity, and Opportunities.
This technical conference features outstanding women discussing their exceptional work in data science, AI, and related fields, across a wide range of domains.
Join our monthly WiDS Upskill Workshops and learn new skills in machine learning, AI, foundations of data science, and applications. Registration is free and workshops are held online.
Inspiring secondary school students to take relevant courses and consider future careers involving data science, artificial intelligence (AI), and related areas. Support the next generation of girls in STEM.
Connect with peers at networking events that elevates and celebrates the outstanding work of women on a global scale, fostering respect, collaboration, connection, and visibility.
empowers women to reach their full potential in the field of data science. We elevate and celebrate the outstanding work of women on a global scale, fostering respect, collaboration, connection, and visibility. The WiDS community creates access to programs, content, and resources that inspire, educate and support, so that vibrant voices and ideas can be shared with the world.
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Get inspired from outstanding women discussing their exceptional work in data science and related fields, in a wide variety of research domains.
Find content based on topics of interest, curated and organized around overarching concepts in data science. Resources for every level, from beginner to advanced.
RECOMMENDED VIDEOS
Learn from data science leaders from around the world talking about their work, their journeys, and lessons learned along the way.
Learn from data science leaders from around the world talking about their work, their journeys, and lessons learned along the way.
Margot Gerittsen speaks with Colleen Farrelly, Mathematician at Post Urban Ventures and Author of The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R. Colleen is known for network science, topological data analysis, and geometry-based machine learning. This podcast covers the challenges and rewards of interdisciplinary work and her journey in the discipline of data science.