Crime and place, Modeling geographical influences on human activity, Agent-based modeling , Crime prevention, Technology in policing
She has a Ph.D. in Geography (2006) and an MA (2005) in Criminology and Criminal Justice from the University of Maryland, College Park and a BS (1992) and MA (1994) in Geography from the University of North Carolina at Charlotte. She has spent the last twenty-two years applying geographic theory and methodology to the study of crime-related issues at both the local and national levels.
At the local level, she institutionalized the use of geographic information systems (GIS) at the Charlotte-Mecklenburg Police Department. At the national level, Dr. Groff ran the NIJ Crime Mapping Research Center from 2001-02 where she promoted the analytic use of mapping in criminal justice agencies. For the next five years she was a Senior Research Associate at the non-profit criminal justice research firm, Institute for Law and Justice where she conducted a variety of research initiatives including the development of an agent-based simulation model of robbery, the application of mobility triangles to understanding homicide, and an evaluation of efficiency, effectiveness, and enabling impacts of COPS MORE funding.
As an early innovator in the use of GIS within law enforcement agencies, she has focused on developing evidence to improve police practice. Groff’s research has revealed which type of map communicates crime information without increasing fear (Groff, Kearley, Beatty, Couture, & Wartell, 2005), the efficacy of foot patrol for reducing violent crime if deployed at small, high crime places in sufficient strength (Ratcliffe, Taniguchi, Groff, & Wood, 2011), and that commanders are able to increase patrol at hot spots when they are provided with reports documenting the level of patrol achieved (Weisburd, Groff, Jones, Amendola and Cave, 2012). Most recently, she has found that some limitations to the use of near repeat theory for reducing residential burglary (Groff and Taniguchi, 2018). These important findings have natural implications for police practice and policy.
- Weisburd, D., Groff, E.R. and S.M. Yang. 2012. The Criminology of Place: Street Segments and Our Understanding of the Crime Problem. Oxford University Press. London.
Selected articles since 2016:
- Groff, E. R., Johnson, S. and A, Thornton. 2018. State of the Art in Agent-Based Modeling of Urban Crime: Overview, Critical Questions and Next Steps. Journal of Quantitative Criminology. Open Access http://link.springer.com/article/10.1007/s10940-018-9376-y.
- Groff, E.R. 2018. Do we really need collective social process to understand why crime occurs and offenders commit crime? G. Bruinsma and S. Johnson (Eds). Handbook of Environmental Criminology. Pp. 105-118. Oxford University Press.
- Perenzin, A., Taylor, R., Groff, E. R. and A. Fingerhut. 2018. Fast Food Restaurants and Convenience Stores: Using Sales Volume to Explain Crime Patterns in Seattle. Crime and Delinquency.
- Sorg, E.T., Wood, J.D., Groff, E.R. and J.H. Ratcliffe. 2017. Explaining dosage diffusion during hot spot patrols: An application of optimal foraging theory to police officer behavior. Justice Quarterly. 34(6), pp. 1044-1068.
- Hibdon, J., Telep, C.T. and E.R. Groff. 2017. The Concentration and Stability of Drug Activity in Seattle, Washington Using Police and Emergency Medical Services Data. Journal of Quantitative Criminology. 33 (3), pp 497–517.
- Weisburd, D., Braga, Anthony A., Groff, E.R. and A. Wooditch. 2017. Can Hot Spots Policing Reduce Crime in Urban Areas? An Agent-Based Simulation. Criminology. 55 (1), 137-173.
- Tower, S.M. and E.R. Groff. 2016. Examining the Disorder-crime Connection in Philadelphia Parks. Security Journal. 9(3), 520-537.
- CJ 8220: CRIME MAPPING
- CJ 8330: SEMINAR IN ADVANCED CJ RESEARCH TOPICS (ADVANCED
- GEOSPATIAL METHODS)
- CJ 8330: SEMINAR IN ADVANCED CJ RESEARCH TOPICS (INTRODUCTION TO SIMULATION MODELING)
- CJ 3402: INTRODUCTION TO STREET LEVEL CRIMINOLOGY
- CJ 3402: INTRODUCTION TO STREET LEVEL CRIMINOLOGY – HONORS
- CJ 2597: RESEARCH METHODS
- CJ 4102: COMMUNITIES AND CRIME PREVENTION