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Planned Protest Modeling in News and Social Media

ThemeDelta: Dynamic Segmentations over Temporal Topic Models

Bayesian Model Fusion for Forecasting Civil Unrest

How events unfold: Spatiotemporal mining in social media

Model-Based Forecasting of Significant Societal Events

DAC and BI lead DARPA’s Next Generation Social Science Project

DAC and the Biocomplexity Institute are leading a $3 million grant awarded by the Defense Advanced Research Projects Agency (DARPA) as part of the Next Generation Social Science (NGS2) program.  DAC and BI will conduct research that will streamline modeling processes, experimental design, and methodology in the social sciences. A major objective of the project is to make social […]

Graduate certificate in urban computing approved

New interdisciplinary certificate in urban computing, part of National Science Foundation (NSF) Research Traineeship UrbComp Program, is now available to all Virginia Tech graduate students. Administered through the Discovery Analytics Center, the 12-credit certificate program weaves interdisciplinary applications through new courses and a novel “tapestry” curriculum. These courses are designed to train students to become competent problem solvers […]

DAC Director Naren Ramakrishnan explores big data analytics to plan for smart cities

DAC director, Naren Ramakrishnan, takes part in a VT Engineering team leading a three-year, $1.4 million National Science Foundation (NSF) grant to develop a new planning framework for smart, connected, and sustainable communities.  The team wants smart cities to features zero energy, zero outage, and zero congestion.  They are utilizing big data and interdisciplinary technology […]

Coverage of DAC Ph.D. student Yaser Keneshloo’s research with Washington Post

Great coverage of DAC Ph.D. student Yaser Keneshloo’s research in collaboration with the Washington Post on applying data science to predict the popularity of news articles.  Keneshloo and the Post are working on a popularity prediction experiment, they are doing clickstream analysis and producing a pipeline for processing tens of millions of daily clicks, for thousands of […]

DAC faculty Chandan Reddy wins Best Student Paper at IEEE

Congratulations to Chandan Reddy, DAC faculty member and associate professor of Virginia Tech – Computer Science, whose paper in collaboration with Korea University, Boosted L-EnsNMF: Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization, received the Best Student Paper Award at the IEEE Conference on Data Mining! Click here for a full list of awards.