Women in Data Science Conference: Celebrating International Women's Day
On March 8, 2021, more than 25,000 people celebrated International Women’s Day by participating in the Women in Data Science (WiDS) Worldwide Conference, spearheaded by Stanford ICME and Stanford Data Science. In addition to the main conference, WiDS ambassadors are hosting 200+ regional events in 60+ countries. In all, between the WiDS Worldwide conference, WiDS regional events, and online, WiDS will have more than 100,000 participants worldwide this year.
WiDS Worldwide Conference, International Women’s Day
WiDS Worldwide was a 24-hour virtual conference that covered a wide range of topics from healthcare and agriculture to security and fintech, and from data ethics and democratization to reproducibility and robustness of algorithms. WiDS Worldwide featured 110 outstanding women from 39 countries in keynotes, technical talks, workshops, and meet-the-speaker sessions. Networking and a Career Expo were available throughout the conference.
Experience the highlights on-demand via our WiDS YouTube channel:
Main Stage, Workshops, and Meet-the-Speakersessions.
New WiDS Workshops, June 30, 8:00-11:00 PST
Build your data science skills with the newest WiDS Workshops featuring excellent female instructors. WiDS Workshops are free-of-charge and open to everyone, and cover a wide range of data science topics. To make sure that you receive an invitation, you can subscribe to the WiDS Workshop list.
WiDS Podcast, new episode
Season 4 of the WiDS podcast
is now live. Our first episode featured Professor Cecilia Aragon
from the University of Washington, a data scientist, champion aerobatic pilot, and author. Hear how Cecilia overcame her fears to become an aerobatic pilot, which in turn propelled her forward in her career as a data scientist, professor, and author.
Thank you, WiDS Sponsors
We’re grateful to all our sponsors for their support, including Facebook, Intuit, Walmart Global Tech, Wells Fargo, IBM, General Motors (GM), Google, MathWorks, Microsoft, SAP, and Total.
