"Case Studies in Big Data Science"

Thu Nov 12, 2015 2:00 PM

Location: LTS Auditorium, 8080 Greenmead Drive

V.S. Subrahmanian
Department of Computer Science and UMIACS

Applications of data science span a wide spectrum, ranging from the prediction of influence bots on Twitter, to the geospatial prediction of animal movements for anti-poaching purposes, to the prediction of the extent of malware spread within a host population, and even the prediction of election outcomes.

In this talk, I will discuss these four case studies in detail and touch on a suite of other case studies that we have carried out, including methods to predict potential proliferators of nuclear supplies, methods to shape terrorist networks in order to minimize lethality, and methods to identify vandals on Wikipedia.

V.S. Subrahmanian is a professor of computer science at UMD and heads the Center for Digital International Government. He previously served as the director of UMIACS.

Subrahmanian is an expert on big data analytics, learning behavioral models from the data, forecast actions/events, and influence behaviors. He pioneered the use of data science in international security, counter-terrorism, conservation, finance and cyber-security applications.

His work has been featured in numerous publications, such as the Baltimore Sun, the Economist, Science, Nature, the Washington Post, and American Public Media.

Subrahmanian serves or has served on the editorial boards of numerous ACM and IEEE journals, as well as Science, the board of directors of the Development Gateway Foundation, SentiMetrix, Inc., and the Research Advisory Board of Tata Consultancy Services.

He previously served on DARPA’s Executive Advisory Council on Advanced Logistics and as an ad-hoc member of the US Air Force Science Advisory Board in 2001.