Across three papers utilizing a novel composite dataset, my dissertation provides the first comprehensive empirical exploration of latency, a measure of stable connection, across all census tracts in the US.
I find that rural census tracts, and tracts with higher poverty rates, particularly
those with populations other than non-Hispanic White, experience poorer internet
stability. I provide identifiable visualizations for where latency is at its best and worst.
I classify and specifically identify typologies of neighborhoods to explicitly show
discrete groups of census tracts where policymakers can plan interventions. Finally, I
present kriging as a methodological tool to predict previously unknown values of
latency in order to better fill in the gaps of coverage areas and stability measurements.
I serve as primary data and spatial analyst for a partnered project between Cornell University and the Bassett Healthcare Network examining School Based Health Clinics in rural NY. I also study the differential access to telehealth in rural and underserved communities across the US.
Working with the Institute for Research on Innovation and Science (IRIS), the University of Michigan, and Cornell's SC Johnson College of Business, I examine performance, composition, and characteristics of NIH & NSF funded research teams at US universities.
An inextricable through-line in my research is the utilization of spatial analytics, local regression modeling, and cartography to examine issues of public policy in the US.