On September 14, 2023 WiDS hosted a 5-hour virtual conference across the globe. Nineteen phenomenal women in data science from all corners of the world came together to discuss insights and thought provoking issues in Economic Justice, Natural Language Processing & Large Language Models, Sustainability, Health & Safety, and Leadership.
Watch the replay of our 2023 Virtual Conference to be inspired.
Co-Founder, WiDS Worldwide
Chief Statistician and Director of the Development Data Group, World Bank
Chief Information and Data Analytics Officer, The Boeing Company
Assistant Professor in Computer Science and Electrical Engineering, Stanford University
Kiswahili Machine Learning Fellow, Mozilla
Contributing Writer for The Atlantic
Senior EO Scientist Expert and Co-founder & CSO, Unique Land use GmbH and Marble Imaging GmbH
Professor of Marine Science, Chair of Oceans Department School of Sustainability, Stanford University
Assistant Professor at the Life and Environmental Sciences Department, UC Merced
Vice President of Hardware Design, Google
Founder and Executive Director of the International Arts + Mind Lab (IAM Lab), Center for Applied Neuroaesthetics
Director of CDS Advanced Analytics and Oncology, Gilead Sciences, Inc
Professor of Economics and Director of the Center for Social Data Analytics, Auckland University of Technology
Associate Research Professor, Biomedical Data Scientist, Barcelona Institute for Global Health (ISGlobal)
Engineering Manager of Machine Learning, LinkedIn
President and Founder, Tara Health Foundation
Chief Executive Office, Women of the World Endowment
President and CEO, AnitaB.org
Professor at the American University of Beirut
TOPICS: Data Science as a Career , Domains , Values
TOPICS: Data Generation/Collection , Data Science as a Career , Domains , Leadership/Management
TOPICS: Data Generation/Collection , Values
TOPICS: Algorithms , Data Generation/Collection , Featured , Values
TOPICS: Data Generation/Collection , Domains
TOPICS: Data Generation/Collection , Domains
TOPICS: Algorithms , Data Generation/Collection , Domains , Software Design and Engineering
TOPICS: Algorithms , Data Generation/Collection , Domains , Values
TOPICS: Algorithms , Data Generation/Collection , Domains , Values
TOPICS: Data Science as a Career , Domains , Featured
TOPICS: Data Science as a Career , Domains
