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 science experiments rigorous, reproducible, and scalable to large populations.
News featuring Naren Ramakrishnan
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 as tools to meet that goal. Click here to read more about the project.
DAC and director, Naren Ramakrishnan, are featured as this month’s Virginia Tech Inventors of the Month by the Office of Research and Innovation for work in Early Model Based Event Recognition using Surrogates (EMBERS) software project.
EMBERS is a fully automated system for forecasting significant societal events, such as influenza-like illness case counts, rare disease outbreaks, civil unrest, domestic political crises, and elections, from open source surrogates. To read more about EMBERS click here.
DAC Director Naren Ramakrishnan gave the opening keynote talk at the Pacific Asia Knowledge Discovery and Data Mining Conference on April 20, which was held in Auckland, New Zealand this year. Dr. Ramakrishnan provided overview and perspectives about DAC’s EMBERS project aimed at a data mining audience. To learn more about the conference, click here.
DAC Director Naren Ramakrishnan guest edits IEEE Computer’s April 2016 issue, which is focused on Big Data. Dr. Ramakrishnan guested edited along with Ravi Kumar from Google. Read the issue to explore the latest in databases, algorithms, and applications of big data here.