Data and Decisions
Data and Decisions Request for Concepts
The three proposals selected (below) include collaborations with faculty from five of the colleges within Virginia Tech: Liberal Arts and Human Sciences, Science, Engineering, Agriculture and Life Sciences, and Veterinary Medicine.
- Employing Interpolative Matrix Decompositions for Extracting Insights from Historical Textual Data Edward J.K. Gitre (Department of History) with Mark Embree (Department of Mathematics).
- OSINT for Good (O4G): Preparing Under-Represented Students for Data Science Careers with Open Source Intelligence Training Kurt Luther (Department of Computer Science) with Aaron Brantly (Department of Political Science) and David Hicks (School of Education).
- Uncovering the mechanisms of West Nile virus dynamics: A mathematical-computational-experimental interdisciplinary approach Nisha Duggal (Department of Biomedical Sciences and Pathobiology) with Stanca Ciupe (Department of Mathematics) and Paul Siegel (Department of Animal and Poultry Sciences).
VTNews: Using big data to optimize the Washington, D.C., transit system
Brian Mayer, a research associate in the Discovery Analytics Center, partners with the Washington Metropolitan Area Transit Authority to use big data to help the Metro run more efficiently.
February 25, 2020