Global Women in Data Science Conference @ Stanford University

Register Learn more

Global Women in Data Science Conference @ Stanford University

The 2020 Global Women in Data Science (WiDS) Conference, a one-day technical conference intended to engage and inspire women to pursue careers and do more with data science, is happening on March 2 at Stanford University and 150+ regional events worldwide.

After the success of the 2019 program that included topics such as building trust in the Digital Age and understanding the limitations of AI: when algorithms fail, this year the organizational team has managed to attract top speakers, including:

As one of the fastest growing data science conferences, attracting more than 100,000 participants, it features some of the most successful data scientists in the world talking about data science technology, ethics, opportunities, education and other topics such as: ​​Polyglot AI: The Role of NLP in Building Multilingual AI Systems, Creating Global Economic Opportunities with Responsible Data ​, and Why a World with AI Needs More EQ. The schedule is available here.

Stanford University partners with the leading data science programs in academia and the private sector to bring together the top data scientists. The 2020 WiDS Conference feature as Global Visionary Sponsors Facebook, Intuit, Walmart Labs, and Wells Fargo. Its Innovation Leader Sponsors include GM, Google, IBM, MathWorks, Microsoft and Total. Stanford Sponsors include the Stanford Institute for Computational and Mathematical Engineering, Stanford Data Science Institute and the Stanford Office of the President.

Data Science Society, a Global Women in Data Science (WiDS) Conference media collaborator, is pleased to present the WiDS Stanford livestream. The Global WiDS Conference aims to inspire and educate data scientists worldwide, regardless of gender, and support women in the field. This annual one-day technical conference features outstanding women doing outstanding work. 

 

Video

Bookings

Bookings are closed for this event.