Over the past decade, WiDS has grown into a truly global movement powered by Ambassadors, educators, contributors, and partners who bring WiDS to life in their local communities. As our…
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At WiDS, our global community comes to life through the dedication, leadership, and generosity of our Ambassadors, who give their time, experience, and expertise to others. Each year, we are…
Women in Data Science (WiDS) is thrilled to launch its 9th annual WiDS Datathons in collaboration with Watch Duty. Background: As wildfires grow more frequent, intense, and disruptive they threaten...
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For the second year, the WiDS Datathon++ University Edition engaged 150 universities in 37 countries including universities in underserved communities. Sponsored by WBHI and CMI, it focuses on women’s brain health and is used by instructors across all levels and fields of study. Students gained real-world experience by working on the challenge; some students continued to pursue further research.
Written by Shawna Morgan, Director of Development @ WiDS Worldwide I had the privilege of attending—and facilitating a panel at—the WiDS Puget Sound event on May 30th, hosted by the...
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Tell us about your background. I am a junior at Homestead High School in Cupertino, CA, with a strong interest in pursuing data science. Over the past few years, I’ve...
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Tell us about your background. I am a high school senior from the Bay Area who is passionate about using data science and AI to address social inequalities. I have...
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Hear from WiDS Trinidad & Tobago and WiDS San Jose Youth as they share career insights, mentorship advice, and strategies for breaking into AI and tech.
Join Sohini Sarkar, Principal Product Manager at MathWorks, as she shares her journey from academia to product management, balancing technical expertise with leadership. Tune in for insights on career transitions, self-discovery, and growth.
From left: Kylie Cancilla, Caterina Ponti Tell us about your background. K: I am a third year Data Science student with a minor in Environmental Science at the University of...
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This workshop covers dataset preprocessing, encoding categorical variables, handling NaN values, and preparing data for machine learning in Python. Instructors will also go over F1 score, which is the metric used to evaluate participants.
Datathon tutorial, dataset preprocessing, encoding categorical variables, handling NaN values, preparing data for machine learning in Python.
Keerthi Gopalakrishnan explores Multi-Armed Bandit and Contextual Bandit algorithms for optimizing online recommendations and balancing exploration with exploitation.
Claudia Perlich, Managing Director at Two Sigma, joins co-host Margot Gerritsen, WiDS co-founder and Stanford Professor Emerita, to discuss biases in AI and responsible machine learning. Claudia also shares career insights on curiosity, scientific thinking, and communication in data science.
Women in Data Science (WiDS) is thrilled to launch its 8th annual WiDS Datathons partnering with Ann S. Bowers Women’s Brain Health Initiative in collaboration with Cornell University and UC...
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Huda Nassar joins co-host Margot Gerritsen to explore how the fusion of mathematics and computer science drives real-world innovation. They dive into Huda’s journey from earning her PhD at Purdue to developing advanced graph algorithms at RelationalAI, the pivotal role of mentorship, and why she champions the Julia programming language.
Hannah Pham, Head of Data Science, Consumers at Pinterest, shares how her immigrant experience shaped her career, emphasizing the importance of language learning, understanding problems in data science, and people development. She also discusses burnout, flexible work environments for women, and evolving opportunities in the field.
Tell us about your background. A group of newly graduated students from BVRIT Hyderabad College of Engineering for Women. We specialized in Information Technology. Bachelor’s degrees majoring in Computer Science,...
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Watch this WiDS Workshop where data science professionals Jie Z. Nissel and Elizabeth Johnson share their journeys from STEM to data science.
This conversation covers career growth and balance, transitioning to leadership, and how self-awareness can guide success.
In this talk, Rachita Naik shares her journey and experiences as a Machine Learning Engineer at Lyft, detailing the path that led her to pursue a career in the field.
Sydney Hazen, a Privacy Data Scientist at Ford, 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.
On April 28, 2024, the WiDS NextGen Data Days Workshop was hosted by the WiDS Marin Ambassadors, Keiko Kamei and Chloe Pine, in collaboration with Next Generation Scholars (NGS) ....
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Karin Golde discusses the rise of large language models like ChatGPT, highlighting their popularity, challenges, and the need for diverse perspectives in AI development, while sharing her experiences and advising women in leadership roles.
Allison Koenecke, currently a postdoc at Microsoft Research and soon to be assistant professor at Cornell, discusses her decision to pursue a career in academia focused on algorithmic fairness and causal inference in public health.
Karina Edmonds, Global Head of Academies and University Alliances at SAP, has spent her career building bridges between business and academia. She is passionate about promoting fairness in data science by bringing more young people, women, and underrepresented groups into the field.
Marzyeh Ghassemi, an assistant professor at the University of Toronto, is focused on Healthy ML—applying machine learning to understand and improve health.
Hear stories of women in data science from around the Globe!
Becki Cook: Brisbane, Australia
Staying Connected Through Community Outreach
Philomena Mbura: Nairobi, Kenya
Finding Work/Life Balance
Amanda Milberg: Colorado, USA
Building a Supportive Network