Joshua Cape, assistant professor of Statistics in the Dietrich School of Arts and Sciences, together with collaborators at Johns Hopkins University, has received a $550,000 grant from the National Science Foundation for the proposal “Methods and Applications for Massive One-mode and Bipartite Social Networks.”
The NSF grant will enable Cape and his colleagues to develop new methods and modeling capabilities for large-scale network data. Using datasets from the Longitudinal Employer-Household Dynamics program at the U.S. Census Bureau, the project will examine the influence of immigration on the U.S. job market over time. The transdisciplinary research team consists of principal investigator Angelo Mele, co-principal investigators Lingxin Hao, Carey E. Priebe — all from Johns Hopkins University — and Cape.