Rutgers University/NJIT Seed Grant (2017) The proposed project uses information provided by the International Union for Conservation of Nature (IUCN) to identify species, and the recommended conservation actions of those whose endangered status has increased due to poaching and illegal killing, to estimate the proportion of these actions that rely on stricter penalties for offenders vs. situational measures intended to help reduce the opportunities for poaching and illegal killing.
Save the Redwoods League (2016) The proposed project seeks to use a spatial econometric approach to better understand the‘shake-bolt’ poaching problem that is having a negative effect on the ecosystem in Humboldt Redwoods State Park.
United States Fish and Wildlife Service (2016) The proposed project utilizes multivariate regression models to take advantage of the existing USFWS Law Enforcement Management Information System (LEMIS) database along with additional data provided by USFWS and US Customs and Border to better understand patterns of illicit wildlife trafficking.
United States Fish and Wildlife Service (2016) This study will evaluate the effectiveness, and consistency of inspection protocol and methods utilized by U.S. Fish and Wildlife inspectors and U.S. Customs and Border agents for identifying wildlife contraband.
National Oceanic and Atmospheric Administration (2016) This study organizes numerous spatial variables within Thailand’s Exclusive Economic Zone using a variety of open source datasets that provide details about not only the distribution of fish species ranges, but of fishing vessel movement to model those areas that appear to be at the greatest risk for illegal fishing.
NFS Graduate Research Fellowship Program (2016) This research will assess if African elephants form and use spatially explicit memories about past poaching events to avoid poaching-related risk. To that end, open source datasets of elephant movement, carcass location, and land use will be evaluated with a modified resource selection framework.
Initiative for Multidisciplinary Research Teams Awards (2015) Created a viable multidisciplinary research team of criminologists, biologists, and ecologists to tackle the complex, multifaceted wildlife crime and conservation problems that we face today.