Maryland Crime Research and Innovation Center

Final Reports

EXECUTIVE SUMMARY: Baybrook Violence Reduction Initiative: Evaluating the Chosen Leaders Intensive Life Coaching Approach for Youth

EXECUTIVE SUMMARY: Assessing the Impact of Local COAP Programs

Partnering with Greater Baybrook Alliance: Community-Based Violence Reduction Evaluation

EXECUTIVE SUMMARY: Annapolis Police Department Workload Analysis

EXECUTIVE SUMMARY: Maryland’s Behavioral Health and Public Safety Center of Excellence

Pretrial Risk Across Maryland Jurisdictions using Client Legal Utility Engine (CLUE) Data

Data Analytics from Body Worn Cameras to Improve De-escalation Skills for Well-being and Safety for All

An Assessment of Pretrial Outcomes & Data Capacity

Selected Publications from MCRIC Researchers

Midgette, G., LaFree, G. Appleby, S. E. H., & Yang, H. (2025). Crime and Law Enforcement After Fatal Police Encounters: Differential Impacts of Freddie Gray's Death Across Baltimore Neighborhoods. Justice Quarterly, 1-24.

Loeffler, C., & Bersani, B. (2025). Estimating the Effect of Developmentally Informed Justice on the Probability and Length of Custodial Experience. Justice Quarterly, 1-25.

Bersani, Bianca, Pilar Larroulet, Xuanying Chen, and Elaine Doherty. Moving Beyond Failure: Modeling the Multidimensional Conceptualization of Success After Prison. Journal of Developmental and Life-Course Criminology (2025): 1-34.

G. Midgette, T. L. Spreen, L. C. Porter, P. Reuter, B. K. Hitchens. A Model to Assess the Feasibility of 911 Call Diversion Programs, August 2023. 

Y. Ma, K. Nakamura, E.-J. Lee, and S. S. Bhattacharyya. EADTC: An approach to interpretable and accurate crime prediction. In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, pages 170-177, Prague, Czech Republic, October 2022.

Y. Ma, K. Nakamura, E.-J. Lee, and S. S. Bhattacharyya. National institute of justice's recidivism forecasting challenge: Research paper, group MNLB. Technical Report 305046, National Criminal Justice Reference Service, 2022. Available from url https://www.ojp.gov/pdffiles1/nij/grants/305046.pdf.

Y. Ma, X. Qi, K. Nakamura, and S. S. Bhattacharyya. Towards interpretable, attention-based crime forecasting. In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Maui, Hawaii, October 2023. To appear.