Dr. James Caverlee, assistant professor in the Department of Computer Science and Engineering at Texas A&M University, has been selected to receive the National Science Foundation (NSF) CAREER award for his research project, "Real-Time Crowd-Oriented Search and Computation Systems."
The award will fund a five-year program with the goal of developing "the framework, algorithms, and systems for crowd-oriented search and computing, so that crowds discovered in emerging social systems may become part of in situ human-computational systems," Caverlee said.
It is rare for a professor to be granted research funding from three different research support agencies in a short period of time. Caverlee's streak began when he received a Defense Advanced Research Projects Agency-Young Faculty Award (DARPA-YFA) for his investigations into the social web and the technical challenges associated with realizing a new generation of applications suitable for monitoring, analyzing and distilling information from massive-scale social systems. Last month, Caverlee received the Air Force Office of Scientific Research-Young Investigator Program (AFOSR-YIP) grant for his research project, "Detecting, Analyzing, Modeling, and Predicting Strategic Manipulation and Adversarial Propaganda in Social Media."
Caverlee joined the computer science and engineering faculty at Texas A&M in August 2007 after receiving his Ph.D. in computer science from the College of Computing at the Georgia Institute of Technology. In addition to the research awards trifecta, Caverlee has the distinction of receiving two Google research awards, the Texas A&M Computer Science Graduate Faculty Teaching Award, and the honor of being named a Texas A&M Center for Teaching Excellence Montague-CTE Scholar for 2011-2012.