Crime analysis, crime mapping, predictive policing, spatial analysis, network analysis
Matthew D'Anna has worked in the private sector since 2009 supporting clients across the federal government and intelligence community on national security, defense, law enforcement, and homeland security with analytic, data science, and information technology solutions. He also currently instructs criminology courses at American University. Previously, he was a tactical crime analyst in Tempe, Arizona and an adjunct faculty member at Arizona State University, in the School of Criminology and Criminal Justice.
Predicting violence
Dissertation: Black swan shootings: A model for predicting the worst of the worst, 2020
Thesis: The Geographic Robbery Analysis of Banks (GRAB) Project, 2008
Arizona State University
CRJ 294: Crime Analysis
CRJ 494: Crime Analysis
CRJ 598: Crime Analysis
George Mason University
CRIM 312: Intelligence Analysis Techniques
CRIM 320: Crime and Place
CRIM 490: Crime Analysis
CRIM 511: Evidence-based Crime and Justice Policy
CRIM 515: Criminal Justice Research Methods & Data Analysis
CRIM 545: Crime Analysis
CRIM 562: Crime and Place
CRIM 595: Crime Prediction & Forecasting
CRIM 562: Crime and Place
Ph.D. Criminology, Law and Society, George Mason University
M.A. Criminology, John Jay College of Criminal Justice, City University of New York
M.A.S. Geographic Information Science, Arizona State University
B.S. Justice Studies, Arizona State University
B.S. Political Science, Arizona State University