Research

MCRIC RFP Solicitation Invites Proposals from the Maryland Research Community

Maryland Crime Research and Innovation Center

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MCRIC RFP Solicitation Invites Proposals from the Maryland Research Community

The Maryland Crime Research and Innovation Center (MCRIC) at the University of Maryland draws upon academic research expertise to develop and evaluate innovative criminal justice strategies aimed at reducing and preventing crime to benefit Maryland citizens. Launched in 2018 with support from the Governor’s Office of Crime Control & Prevention (GOCCP), MCRIC supports interdisciplinary projects that align with GOCCP’s efforts to prevent and reduce crime, drawing from research expertise from across the Maryland academic community.  

A particular focus for MCRIC is to develop research-informed, data-driven methodologies and strategies for crime prevention and reduction, and to help foster data sharing, collaboration, and cooperation among partner organizations, agencies, and stakeholders across Maryland.  MCRIC invites proposals from the Maryland research community to engage in one of three data projects.

See here for memo describing application process.

LaFree Honored with American Society of Criminology Sutherland Award

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LaFree Honored with American Society of Criminology Sutherland Award

The American Society of Criminology (ASC) awarded Maryland Crime Research and Innovation Center (MCRIC) Director Gary LaFree the Edwin H. Sutherland Award. The award recognizes outstanding contributions to theory or research in criminology on the etiology of criminal and deviant behavior, the criminal justice system, corrections, law or justice.

LaFree is professor and chair of the Department of Criminology and Criminal Justice, in addition to serving as MCRIC Director. He was recognized by ASC for his research on the causes and consequences of violent crime, and in particular, his efforts to bring terrorism and responses to terrorism into the mainstream of criminology and criminal justice research and education.

MCRIC Partners with Salisbury on Predictive Analytics Project Supported by Edward Byrne Grant

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MCRIC Partners with Salisbury on Predictive Analytics Project Supported by Edward Byrne Grant

The Maryland Crime Research and Innovation Center (MCRIC) has partnered with the Salisbury Police Department on a predictive analytics project involving machine learning and data analysis to help support crime reduction efforts.

The main objective of the project, which was supported by an Edward Byrne Memorial Justice Assistance Grant, is to increase the availability of data-driven predictive analytics that offer the local police department an additional set of tools that can supplement and enhance existing proactive strategies. In order to achieve this objective, this project will develop and test predictive models and incorporate stakeholder feedback to refine analysis and prepare for implementation and deployment.

The project, made possible by a partnership between researchers in Criminology and Engineering, includes data collection and curation, research and analysis, presentation, and reports/policy briefs/other dissemination activities.  Building on Salisbury’s previous project and its recommendations, MCRIC is exploring new machine learning techniques as well as new data sources to improve the value of predictive information for city and local law enforcement.

After rigorous testing and evaluation, the machine learning-based predictive models will be presented by the MCRIC team to the Salisbury stakeholders for feedback. The models will be revised to reflect the feedback received before they are finalized and the final report is prepared for model development.

MCRIC Conducts Evaluation of the Swift, Certain, and Fair Program Implementation in Baltimore

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MCRIC Conducts Evaluation of the Swift, Certain, and Fair Program Implementation in Baltimore

The Maryland Crime Research and Innovation Center (MCRIC) is partnering with the Baltimore Police Department (BPD) and the Baltimore Mayor’s Office of Criminal Justice (MOCJ) to conduct an implantation evaluation of the Swift, Certain, and Fair program, supported by the Bureau of Justice Assistance. The goal of MCRIC’s planning support is to help BPD and MOCJ validate the problems that were targeted in the application, provide information on appropriate best practices given the community’s identified problems, and to assist in the development of an action plan for the initiative. 

In the early phase of the project, MCRIC will work closely with BPD and to collect comprehensive data and conduct analyses. MCRIC will also assist in the development of an action plan that will guide implementation and assessment of the SCF intervention. The action plan will identify a set of appropriate best practices given the nature of community, criminal activity, and resource constraints.

MCRIC will analyze crime, gun violence and gang surveillance data to monitor the progress of the initiative’s efforts and make suggestions as needed for any changes to the strategy, if challenges arise. In the last three months of the effort, MCRIC will conduct an overall outcome analysis of the effort focusing on the direct goals of the program: reduce violent crime, substance abuse, recidivism, and gun violence, and improve integration of community stakeholders. The following activities will be part of the outcome analysis:

  1. Analyze trends in crime and intermediate measures affected by group violence intervention (GVI) operations.
  2. Evaluate development of police and stakeholder practices related to gun crime, including new police practices to incorporate data generated by social network analysis, qualitative and quantitative data.
  3. Produce, as needed, briefs or descriptions of regular analysis of crime and other data in order to inform and provide feedback to the program partners during planning and implementation.

MCRIC Team Takes on Evaluation of the Baybrook Community-Based Group Violence Intervention Program

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MCRIC Team Takes on Evaluation of the Baybrook Community-Based Group Violence Intervention Program

The Maryland Crime Research and Innovation Center (MCRIC) is partnering with the Greater Baybrook Alliance and the Baltimore Police Department to conduct a mixed method implementation and impact evaluation to inform the Community-Based Group Violence Intervention (CGVI) program. Funded by the Bureau of Justice Assistance, the CGVI program has three objectives that are measurable using data collected by Baltimore Police Department (BPD), service providers, and community stakeholders with formal ties to the program:

Overall Program Objectives:

  • Reduce gun violence (homicides and non-fatal shootings)
  • Successfully deliver services to vulnerable individuals (at greatest risk of victimization or perpetration of gun violence)
  • Reduce recidivism rate among vulnerable individuals who receive services

These objectives are aligned with three goals that rely on a mix of quantitative risk and needs assessment: to identify individuals that are at high risk of being vulnerable to gun violence, identification of service providers with whom the GBA interacts to connect with identified individuals, and to improve norms affecting public safety.

This project will evaluate the needs, theory of change, implementation, and outcomes of a community-based group violence intervention effort in the Greater Baybrook area to be completed in four phases. Leveraging longitudinal, time series data collected on crime rates, arrest, calls for service, overdose responses, shooting incidents, property-based databases, and offender-based data, we will model and assess the impact of the intervention.

MCRIC Partners with Baltimore Police Department to Reduce Crime Through Data-Driven, Research-Based Techniques and Innovations

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MCRIC Partners with Baltimore Police Department to Reduce Crime Through Data-Driven, Research-Based Techniques and Innovations

The Baltimore Police Department (BPD), the Governor’s Office of Crime Prevention, Youth, and Victim Services, and the Maryland Crime Research and Innovation Center (MCRIC) at the University of Maryland are partnering on a new initiative to apply data-driven, research-informed strategies to crime reduction efforts in Baltimore.

MCRIC is collaborating with  Baltimore Police Department on their new “Baltimore Community Intelligence Centers,” which are modeled after the Chicago Police Department’s “Strategic Decision Support Centers.” These centers bring together tools, technology, processes and personnel to develop data-driven, proactive policing strategies;  help police to focus on high-risk offenders, places, and activities; allow them to practice focused deterrence, place-based response, as well as hot spot policing; and have led to a sustained drop in violent crime in the areas where they have been implemented.

“The Baltimore Police Department thanks the University of Maryland for this collaborative partnership as we work to implement evidence-based policing and management approaches toward a sustainable reduction in violent crime,” said Commissioner Harrison. “The addition of this research partnership will help provide a holistic approach on how we can maximize the efficiency and effectiveness of our resources.”

The centers implement new technology, including mobile devices, predictive policing, gunshot detection, and additional cameras, as well as new processes, including a commander’s daily briefing, and embedded crime data analysts who work collaboratively with police. A Crime Data Analyst from MCRIC will be embedded in BPD’s new Baltimore Community Intelligence Center in the Southwestern District. A 2019 Rand Corporation research study found that Strategic Decision Support Centers are a promising tool for supporting crime reduction.

“We are pleased to have helped foster this relationship between the Baltimore Police Department and University of Maryland,” said Glenn Fueston, Executive Director of the Governor’s Office of Crime Prevention, Youth, and Victim Services. “Leveraging data on violent crime can be an effective tool to make communities in Baltimore City safer. We are hopeful this partnership will yield real results and bring us closer to long-term solutions.”

Sarah Appleby, the new MCRIC Crime Data Analyst working with BPD’s Southwestern District, is an advanced Ph.D. student at the University of Maryland. Appleby will apply her data analysis and research skills to her new role with BPD, working collaboratively with officers to identify  individuals and places at high risk for violence or victimization, developing strategy, and engaging in real-time crime analysis.

“The Maryland Criminal Research and Innovation Center is excited to collaborate with the Baltimore Police Department on this important initiative, and contribute our research expertise and data analysis skills toward crime reduction efforts in Baltimore,” said MCRIC Director and Chair of Criminology and Criminal Justice Dr. Gary LaFree. “We look forward to building a long-term partnership with our colleagues at Baltimore Police Department, the University of Maryland Baltimore and the University of Maryland College Park, and the Governor’s Office of Crime Prevention, Youth, and Victim Services to make a positive impact and help keep Baltimore residents safe.”

 MCRIC is an interdisciplinary initiative working with law enforcement, lawmakers, academic peers, and industry leaders, to promote data sharing, exchange of knowledge and best practices, and development of new approaches. MCRIC launched in 2018 with support from the Governor’s Office of Crime Prevention, Youth, and Victim Services and draws research expertise from across multiple academic disciplines at the University of Maryland, including the top-ranked Department of Criminology and Criminal Justice.

University of Maryland Criminology Program Again Ranked #1 in the 2022 U.S. News & World Report Best Graduate Schools Rankings

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University of Maryland Criminology Program Again Ranked #1 in the 2022 U.S. News & World Report Best Graduate Schools Rankings

Once again, the College of Behavioral and Social Sciences received high rankings for several of its graduate programs from U.S. News & World Report. These rankings include #1 in Criminology—a position held for many years—and #1 for the second consecutive year in the Counseling program offered by the Department of Psychology and the College of Education.

BSOS Rankings in the 2022 U.S. News & World Report Best Graduate Schools listing:

#1 Criminology

#1 Counseling (PSYC & EDUC)

#14 Sociology of Population

#21 Economics

#24 Sociology

#28 Political Science

“BSOS faculty, students, staff and alumni have once again led us to well-deserved national recognition,” said Dean Greg Ball. “While we know that rankings do not reflect the totality and overall value of what we offer to our students and to our colleagues in academe, we do know that prospective students and faculty members look to these rankings for guidance when selecting institutions and programs. I am very proud that our college and our university consistently make an excellent showing.”

Not all graduate programs are ranked every year. The most recent additional U.S. News rankings for BSOS programs are:

#6 Sociology: Sex and Gender

#9 Geosciences (Globally)

#10 Audiology

#16 Speech-Language Pathology

#33 Clinical Psychology

#39 Psychology

CCJS Researchers Find ‘Gold Standard’ Survey Greatly Underestimates U.S. Drug Use

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CCJS Researchers Find ‘Gold Standard’ Survey Greatly Underestimates U.S. Drug Use

Professors Peter Reuter and Greg Midgette highlight shortcomings of the National Survey on Drug Use and Health, offer ideas for a potential path forward

Department of Criminology and Criminal Justice Professors Peter Reuter and Greg Midgette, along with Jonathan Caulkins of Carnegie-Mellon University, advise that both researchers and the general public take the forthcoming findings of the 2020 National Survey on Drug Use and Health (NSDUH)—a nationwide, general population survey (GPS) of 70,000 Americans released each fall—with a grain of salt.

In their new paper published in Addiction, “Heroin use cannot be measured adequately with a general population survey,” Reuter, Caulkins and Midgette assess the accuracy of the NSDUH and discuss how the design of such GPSs can lead to significant underestimates of the use of expensive and addictive drugs in the United States—an underestimation of 75% or more of actual usage rates, where heroin is concerned.

Reuter, Caulkins and Midgette focused their research on the NSDUH as it is “among the best GPS” most often used to inform national drug policies and programs. Indeed, all government reports cite the NSDUH figures uncritically. 

They studied heroin data specifically because “if this strong GPS fails at estimating the one best-known opioid, then a fortiori there are concerns with GPS-based estimates of problem opioid use more generally.”

“NSDUH is a survey that’s done every year, generally among people who live in households and who are over 12 years old, where they ask people about their health and risky behaviors, including the use of heroin,” explained Midgette. “But by asking people in households about the use of heroin, you drastically underestimate the amount of heroin that is being consumed and the number of people who are consuming heroin.”

The professors looked at four potential shortcomings of GPSs under normal circumstances—selective non-response, small sample size, sampling frame omissions and under-reporting. They then compared the results of the NSDUH to overdose mortality data, workplace drug testing data, the number of admissions to federally funded inpatient substance abuse treatment programs, and the Arrestee Drug Abuse Monitoring program (ADAM). ADAM collected data and urine samples from a sample of arrestees from 1987 to 2013, a population often excluded from GPSs.

Collectively, this data produced estimates of heroin use 16 times greater than the comparable estimate by the NSDUH. And this was long before the mental and emotional challenges caused by COVID-19 came into play.

“COVID made everything more complex,” said Midgette. “The nature of data collection about drug use behaviors is already a hard endeavor; it’s already hard to find out about risky behaviors that people are, for obvious reasons, not excited to talk to you about. And when we have already mismeasured and misplanned and the problem seems to be mounting and the drugs are becoming more dangerous—especially with regard to opioids, fentanyl is becoming an increasingly large share of what is in an opioid drug on the street—the disconnect is becoming larger between what we understand and what is actually occurring.”

The researchers’ solution to this burgeoning issue isn’t to toss out NSDUH altogether, but to change the way leaders view and position it.

“Often, the way that the Substance Abuse and Mental Health Services Administration [SAMHSA] reports drug and alcohol use data is ‘Here is the new release of NSDUH, and here is what the new NSDUH estimates are,’” explains Midgette. “If the practice was instead to say ‘Here’s what we know across all of these data sets that SAMHSA is responsible for,’ rather than annually relying on the release of one survey and having that be the gold standard, that will give us a better sense of where we have relatively strong information agreement and disagreement.”

“Our idea is the idea of triangulation,” Midgette concluded. “That is, taking a bunch of imperfect data together, recognizing their imperfections and the benefits they bring to the calculations, and using them to systematically come up with a better estimate.”

UMD MCRIC Team Awarded BJAG Grant to Advance Predictive Analytics Partnership Project with the City of Salisbury

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UMD MCRIC Team Awarded BJAG Grant to Advance Predictive Analytics Partnership Project with the City of Salisbury

A University of Maryland (UMD) research team co-led by Kiminori Nakamura and Shuvra Bhattacharyya and affiliated with the Maryland Crime Research and Innovation Center (MCRIC) was awarded an Edward Byrne Memorial Justice Assistance Grant (BJAG) for an ongoing partnership initiative between the city of Salisbury and UMD to advance a predictive analytics project.

The main objective of the project is to increase the availability of data-driven predictive analytics that offer the local police department an additional set of tools that can supplement and enhance existing proactive strategies while improving the sense of public safety and fairness in the community. In order to achieve this objective, this project will develop and test predictive models and a prototype software program and incorporate stakeholder feedback to refine models and programs and prepare for implementation and deployment.

Building on the progress of the first phase of the project, which was funded by the Governor’s Office of Crime Prevention, Youth, and Victim Services (GOCPYVS), the team will engage in data collection and curation, research and analysis, presentation, reports and policy briefs, and the development of a prototype software package.

The project will further incorporate various data sources for geographic and place-based features, including Census-based neighborhood characteristics, such as concentrated disadvantage and residential instability, and criminogenic facilities, land use, and business types. The team will also explore population mobility and travel data from GPS-enabled mobile devices.

In order to examine potential equity and fairness issues, the team will also collaborate with a senior scholar to address racial disparity and promoting equity in criminal justice and policing. The tasks of model testing, prototype development, and pursuit of fairness will be integrated in an evaluative framework, through which the team will monitor the implementation of a prototype and assess its impact with the ultimate goal of reducing crime and improving public safety while enhancing fairness and strengthening the community trust in the police.

New UMD Research Focuses on Improving Police-Community Relationships in Baltimore

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New UMD Research Focuses on Improving Police-Community Relationships in Baltimore

A team of University of Maryland researchers has been awarded a $370,000 grant from Arnold Ventures with additional funds from the Abell Foundation for a project designed to inform policymaking on the allocation of responsibilities between the police and other agencies in Baltimore City. The goal is to help reduce crime and improve police-community relationships.

The project is a collaboration between researchers affiliated with the Maryland Crime Research and Innovation Center (MCRIC) at the University of Maryland, with appointments in the Department of Criminology and the School of Public Policy. Peter Reuter, a Distinguished University Professor with appointments in both units, will lead the research team. His Co-PIs include Brooklynn Hitchens, Greg Midgette, and Lauren Porter of the Department of Criminology and Thomas Luke Spreen of the School of Public Policy.

The project will start by building a deeper understanding of the sources of tension between the police and the community in Baltimore. The team will conduct in-depth interviews and focus groups with residents to better understand what the police do (or do not do) that is distressing and their perceptions of how the police could do their jobs differently. The project team will also cultivate relationships with a variety of community organizations to ensure that the full range of community perspectives are represented in the study.

Informed by the community interviews, a second strand of research will assess which police functions could be plausibly re-tasked to civilian agencies and how these transitions may affect the city’s budget. This step will involve using detailed police service records to identify which police calls pose little to no risk to first responders or residents and may benefit from transition to civilian case workers. Re- tasking certain service calls could allow the Baltimore Police Department to refocus those resources on core police functions such as addressing the low clearance rate for violent crimes. This transition may also result in financial savings to the city and its residents while improving police-community relationships.

Finally, the project will examine the experiences of other cities that have shifted some responsibilities from the police department to other agencies. What has worked and what challenges have other jurisdictions encountered? What can Baltimore learn from these experiences?

The project team will highlight the findings of this research in a series of reports disseminated through the Abell Foundation with recommendations for the Baltimore Police Department, the Baltimore Mayor’s Office of Criminal Justice, the City Council, and the community. The study will also yield insights that will enable more informed decisions about police responsibilities nationally.

Dean Robert Orr of the School of Public Policy said: “The School is very pleased to have this opportunity to hear from a diverse range of community members to gain a better understanding of what the police can do—or not do—to help improve civil-police relationships.”

Dr. Sally Simpson, Interim Chair of the Department of Criminology and Criminal Justice, said: “This project simultaneously builds closer ties with residents, leaders, and organizations in the Baltimore community while unpacking how the police can strengthen relations with communities of color. Many prior studies have investigated the nature of police-community tensions; this study is innovative in its aim to identify the sources of these tensions and explore tangible ways of improving the delivery services.”

This article was originally published by the University of Maryland's School of Public Policy.