Ruha Benjamin has been selected as a keynote speaker for the sixth annual Analytics Frontiers Conference. As a leading education equity advocate and Sociology and African American studies scholar, Benjamin will address bias and inequality in data science and modeling.
Ruha Benjamin is a professor of African American studies at Princeton University and author of People’s Science: Bodies and Rights on the Stem Cell Frontier (Stanford University Press). She has studied the social dimensions of science, technology, and medicine for over fifteen years and speaks widely on issues of innovation, equity, health, and justice in the U.S. and globally. She is also a Faculty Associate in the Center for Information Technology Policy; Program on History of Science; Center for Health and Wellbeing; Program on Gender and Sexuality Studies; Department of Sociology; and serves on the Executive Committees for the Program in Global Health and Health Policy and Center for Digital Humanities. Ruha is the recipient of many awards and honors, including the 2017 President's Award for Distinguished Teaching at Princeton.
Her work is published in numerous journals including Science, Technology, and Human Values; Policy & Society; Ethnicity & Health; and the Annals of the American Academy of Social and Political Science and reported on in national and international news outlets including The Guardian, National Geographic, Bulletin of the Atomic Scientists, and Nature.
The Analytics Frontiers Conference will take place on March 25, 2020. The conference is hosted by the School of Data Science at UNC Charlotte along with title sponsor, Bank of America.
As the Southeast’s largest conference of its kind, Frontiers connects C-level executives, top data scientists, researchers, entrepreneurs as well as academic and government leaders to share ideas, network and advance the region as a leading technology hub. Attracting the industry’s biggest influencers, the powerhouse event has grown into a gathering of more than 500 of the most brilliant minds in Data Science. For more information about the conference, click here.