WiDS Trinidad & Tobago WiDS Trinidad and Tobago hosted a diverse array of 10 successful events, including fireside chats, workshops to support the WiDS 2024 Datathon, and educational sessions, aimed...
Read More
Women in Data Science Worldwide (WiDS), a pioneering non-profit championing the advancement of women in data science, proudly announces Chisoo Lyons as its new Executive Director. A Transition of Leadership...
Read More
Photo: David Gonzales On March 8, 2024, more than 5,000 people from 65 countries joined the ninth annual Women in Data Science Worldwide conference held in-person at Stanford University, and...
Read More
Working with the WiDS Datathon dataset over the past week has been a thrilling exercise. This dataset presents an opportunity to learn about interesting and real-world modeling challenges, and is different from other curated datasets in textbooks and classic machine learning exercises. For that reason, I discuss some of the challenges you may experience around missing data, multicollinearity and linear/ nonlinear approaches. I will also provide resources to help you on these topics.
Michael Butts, CEO of Burtch Works (L) and Margot Gerritsen, Executive Director of WiDS Ford and Klaviyo are amongst the inaugural companies registered for UpLink, an innovative career advocacy platform...
Read More
Featured keynotes include investor and former CEO of Reddit Ellen Pao, Stanford Professor Manisha Desai, and Zehra Venugopal from Wells Fargo Women in Data Science (WiDS) Worldwide will host its...
Read More
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