John Ursino
Biographic Data
| ID | 4437609 |
|---|---|
| NAME | John Ursino |
| GIVEN NAMES | John |
| FAMILY NAME | Ursino |
| SIGNATURE | URSINO J |
| AFFILIATIONS | University of Nebraska at Omaha |
| ORCID | 0009-0003-5696-6592 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Unraveling Decarceration Policy and How It Affects Correctional Populations
Following decades of mass incarceration, states have enacted policies to reverse prison growth, producing population declines for the first time in four decades. Decarceration, the intentional reduction of prison populations, has gained momentum, often through strategies that divert lower-risk individuals from incarceration. However, the effects of these reforms are complex and sometimes unsustainable. As decarceration expands, policymakers need …
Risk-contamination and Dilution: Advancing the RNR Model in Prison Settings
The Risk-Needs-Responsivity (RNR) model posits separating lower from higher-risk individuals to avoid “risk contamination.” In a prison setting, policies and restrictions lead to mixing different populations within a housing unit. While this may pose a threat, it may allow higher-risk individuals to gradually promote through security levels, reducing risk. We term this “risk dilution.” The current study compares the infraction behavior of individ…
Never Going to Let You Down: Preventing Predictive Shrinkage via the STRONG-R Assessment Method
Risk-needs assessments (RNAs) are an evidence-based practice used by practitioners to assign supervision and programming. While foundational to day-to-day practices, these tools are typically applied ‘off-the shelf,’ and are mistakenly assumed to demonstrate equivalent prediction accuracy regardless of location or population. Although researchers and providers are aware these tools experience performance shrinkage, the issue is commonly ignored. …
A methodological template for the next generation: Redesigning the STRONG-R needs assessment
Short timers and idle populations in overcrowded prisons
Advancing pretrial assessments: Development of the Personal Recognizance Interview & Needs Screen (PRINS)
No prominent works on this page.
Advancing pretrial assessments: Development of the Personal Recognizance Interview & Needs Screen (PRINS)
Never Going to Let You Down: Preventing Predictive Shrinkage via the STRONG-R Assessment Method
Risk-needs assessments (RNAs) are an evidence-based practice used by practitioners to assign supervision and programming. While foundational to day-to-day practices, these tools are typically applied ‘off-the shelf,’ and are mistakenly assumed to demonstrate equivalent prediction accuracy regardless of location or population. Although researchers and providers are aware these tools experience performance shrinkage, the issue is commonly ignored. …
A methodological template for the next generation: Redesigning the STRONG-R needs assessment
Short timers and idle populations in overcrowded prisons
Unraveling Decarceration Policy and How It Affects Correctional Populations
Following decades of mass incarceration, states have enacted policies to reverse prison growth, producing population declines for the first time in four decades. Decarceration, the intentional reduction of prison populations, has gained momentum, often through strategies that divert lower-risk individuals from incarceration. However, the effects of these reforms are complex and sometimes unsustainable. As decarceration expands, policymakers need …
Risk-contamination and Dilution: Advancing the RNR Model in Prison Settings
The Risk-Needs-Responsivity (RNR) model posits separating lower from higher-risk individuals to avoid “risk contamination.” In a prison setting, policies and restrictions lead to mixing different populations within a housing unit. While this may pose a threat, it may allow higher-risk individuals to gradually promote through security levels, reducing risk. We term this “risk dilution.” The current study compares the infraction behavior of individ…
Computer Science (5 works) · Criminal Justice and Corrections Analysis (5 works) · Psychology (5 works) · Computer security (3 works) · Crime Patterns and Interventions (3 works) · Criminology (3 works) · Engineering (3 works) · Psychopathy, Forensic Psychiatry, Sexual Offending (3 works) · Actuarial science (2 works) · Business (2 works)