Women in Data Science
We envision an equitable future when women are equally represented as practitioners and leaders in Data Science and AI, and share equally in Decision Making, Economic Prosperity, and Opportunities.
We envision an equitable future when women are equally represented as practitioners and leaders in Data Science and AI, and share equally in Decision Making, Economic Prosperity, and Opportunities.
The WiDS Datathon is an opportunity to discover and hone data science skills while solving an interesting and critical social impact challenge.
Discover WiDS Ambassador events worldwide, offering conferences, workshops, NextGen events, and networking opportunities both in-person and online.
Watch our monthly WiDS Upskill Workshops and learn new skills in machine learning, AI, foundations of data science, applications, and more.
WiDS Uplink is an innovative career advocacy platform, connecting community members to job, internship, and practical training opportunities.
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.
TOPICS: Leadership/Management Sydney Hazen, a Privacy Data Scientist at Ford Motor Company, shares her journey from a college intern to a full-time role. She highlights how internships can lead to job offers and the importance of real-world experience and corporate navigation. Sydney emphasizes applying technical skills with a socially conscious approach, understanding problems before diving into data, and credits her professor and diverse classmates for shaping her perspective. She plans to pursue further education and explore different roles, underscoring the unique position of women in data science and the need for self-advocacy and finding mentors.