The efforts of my research lab borrow from the disciplinary spaces of spatial demography, rural sociology, and public health to inform our understanding of military veteran experiences in different social settings. We use computational social science to create new empirical manifestations of the socio-ecological model for community-based practitioners.

In lay language, we challenge the conventional norm of "space" and "time" in public health by redefining these ecological constructs in the study of military-connected communities. High performance computing solutions allow us to ask "why not?" when it comes to challenging conventional administrative measures.

We seek to use microdata to create meaningful, lived measures that are more representative of the populations under study. This includes the manipulation of relational databases, matching of public, private, and commercial data sources, computational text analysis, hierarchical modeling, and geospatial techniques.

Our efforts support public decision-makers and practitioners in program and service delivery. We hope to streamline operations for at-risk groups while maximizing taxpayer value. In addition, these estimates and quantification of social behavior helps increase the efficacy of local, state, and federal agencies.