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 In this podcast episode, Hannah and Chisoo discuss their shared experiences as immigrants and how that has shaped their perspectives and careers. They explore the value of learning new languages and being immersed in different cultures, as well as the importance of understanding problems before jumping into solutions when working in data science. Hannah shares her leadership philosophy of prioritizing people development, and they both emphasize the need to address burnout and create flexible work environments, particularly for women in the field. The conversation highlights the evolving nature of data science and the opportunities for the next generation of women to thrive in this dynamic industry.