What data are you giving up online and at what cost? Join fellow alumni and the College Alumni Association to hear two experts from NYU’s Center for Data Science discuss the topic of Trading Privacy for Convenience in the Age of Technology.
The conversation will be followed by a wine and hors d'oeuvres networking reception.
Registration for the event is $10. REGISTER HERE
Andrea Jones-Rooy, Ph.D. is the Director of Undergraduate Studies at the NYU Center for Data Science, where she also teaches their popular flagship course, Data Science for Everyone. She was previously assistant professor of political science at NYU Shanghai, where she founded their interdisciplinary major in quantitative social science. Andrea earned her Ph.D. in political science and complex systems at the University of Michigan, Ann Arbor and was a postdoctoral fellow in Social & Decision Sciences at Carnegie Mellon. Andrea regularly speaks and consults outside of academia on social and data science, with a special focus on why and how to think like a scientist to design research programs to uncover what's really going on in companies, especially with respect to diversity. In her spare time, she is a standup comedian and circus performer, both of which she has performed to audiences, including royalty, all over the world. Finally, Andrea also hosts a monthly show called Political Circus -- a political science lecture, comedy performance, and circus show all in one -- at Caveat in New York City.
Julia Stoyanovich is an Assistant Professor at New York University in the Department of Computer Science and Engineering at the Tandon School of Engineering, and the Center for Data Science. Julia's research focuses on responsible data management and analysis practices: on operationalizing fairness, diversity, transparency, and data protection in all stages of the data acquisition and processing lifecycle. She established the Data, Responsibly consortium, and served on the New York City Automated Decision Systems Task Force, by appointment from Mayor de Blasio. Julia developed and is teaching courses on Responsible Data Science at NYU. In addition to data ethics, Julia works on management and analysis of preference data, and on querying large evolving graphs. She holds M.S. and Ph.D. degrees in Computer Science from Columbia University, and a B.S. in Computer Science and in Mathematics and Statistics from the University of Massachusetts at Amherst. Julia's work has been funded by the NSF, BSF and by industry. She is a recipient of an NSF CAREER award and of an NSF/CRA CI Fellowship.