J
John Monahan
Researcher at University of Virginia
Publications - 332
Citations - 22677
John Monahan is an academic researcher from University of Virginia. The author has contributed to research in topics: Poison control & Mental health. The author has an hindex of 72, co-authored 313 publications receiving 21833 citations. Previous affiliations of John Monahan include University of California, San Francisco & City University of New York.
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Impact of Risk Assessment on Judges’ Fairness in Sentencing Relatively Poor Defendants
TL;DR: Cuing judges to focus on risk may re-frame how they process socioeconomic status-a variable with opposite effects on perceptions of blameworthiness for past crime versus perceptions of risk for future crime.
Journal ArticleDOI
Twenty-five years of Social Science in Law
John Monahan,Laurens Walker +1 more
TL;DR: The casebook Social Science in Law (2010) as discussed by the authors provides an overview of the application of social science research to American law over the past quarter-century, focusing on the substantive legal questions on which social science has been brought to bear.
Journal Article
The MacArthur Adjudicative Competence Study: a comparison of criteria for assessing the competence of criminal defendants
Richard J. Bonnie,Steven K. Hoge,John Monahan,Norman G. Poythress,Marlene M. Eisenberg,Thomas Feucht-Haviar +5 more
TL;DR: Among defendants able to understand the nature and purpose of the criminal proceedings, a significant proportion have an impaired ability to appreciate their situations as criminal defendants or to communicate relevant information to counsel.
Journal ArticleDOI
Developing a risk model to target high-risk preventive interventions for sexual assault victimization among female U.S. Army soldiers
Amy E. Street,Anthony J. Rosellini,Robert J. Ursano,Steven G. Heeringa,Eric Hill,John Monahan,James A. Naifeh,Maria Petukhova,Ben Y. Reis,Nancy A. Sampson,Paul D. Bliese,Murray B. Stein,Alan M. Zaslavsky,Ronald C. Kessler +13 more
TL;DR: A targeting model for female Regular U.S. Army soldiers based on theoretically guided predictors abstracted from administrative data records suggests that the models could be useful in targeting preventive interventions, although final determination would require careful weighing of intervention costs, effectiveness, and competing risks.