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Our fourth session of the spring 2019 series pairs two experts from Communications and Computer Science to explore the multi-dimensional concerns surrounding DATA WORLDS—including but not limited to: race, gender, cyber security, big data, culture and technology design.
Safiya Noble, Assistant Professor of Communications, Annenberg School of Communications
Emilio Ferrara, Research Assistant Professor, Computer Science, Vitirbi School of Engineering
Dr. Safiya Noble
Dr. Safiya Umoja Noble is an assistant professor at the University of Southern California (USC) Annenberg School of Communication. Noble’s academic research focuses on the design of digital media platforms on the internet and their impact on society. Her work is both sociological and interdisciplinary, marking the ways that digital media impacts and intersects with issues of race, gender, culture, and technology design. Her monograph on racist and sexist algorithmic bias in commercial search engines is entitled Algorithms of Oppression: How Search Engines Reinforce Racism (NYU Press). She currently serves as an Associate Editor for the Journal of Critical Library and Information Studies, and is the co-editor of two books: The Intersectional Internet: Race, Sex, Culture and Class Online (Peter Lang, Digital Formations, 2016), and Emotions, Technology & Design (Elsevier, 2015). She is a partner in Stratelligence, a firm that specializes in research on information and data science challenges, and is a co-founder of the Information Ethics & Equity Institute, which provides training for organizations committed to transforming their information management practices toward more just, ethical, and equitable outcomes. Safiya holds a Ph.D. and M.S. in Library & Information Science from the University of Illinois at Urbana-Champaign, and a B.A. in Sociology from California State University, Fresno with an emphasis on African American/Ethnic Studies. She is the recipient of a Hellman Fellowship and the UCLA Early Career Award.
Dr. Emilio Ferrara
Dr. Emilio Ferrara is Research Assistant Professor at the Univerisity of Southern California and Research Leader at the USC Information Sciences Institute. Ferrara holds a Ph.D. in Mathematics and Computer Science from the University of Messina (Italy), and his research interests include designing machine-learning systems to model and predict individual behavior in techno-social systems, characterize information diffusion and information campaigns, and predict crime and abuse in such environments. His research on social network abuse and crime prediction has been featured on the major news outlets (TIME, BBC, The New York Times, etc.) and tech magazines (MIT Technology Review, Vice, Mashable, New Scientist, etc). He was named IBM Watson Big Data VIP Influencer in 2015, and ranked 28th as Big Data Experts to Follow in 2016 by Maptive. He received the 2016 DARPA Young Faculty Award, and the 2016 Complex System Society Junior Scientific Award. He is a top 0.5% Kaggle competitor and participated in various data science competitions.