Search Results - "Berk, Richard"

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  1. 1

    Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement by Berk, Richard A

    Published in Annual review of criminology (13-01-2021)
    “…There are widespread concerns about the use of artificial intelligence in law enforcement. Predictive policing and risk assessment are salient examples…”
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  2. 2

    Improving Fairness in Criminal Justice Algorithmic Risk Assessments Using Optimal Transport and Conformal Prediction Sets by Berk, Richard A., Kuchibhotla, Arun Kumar, Tchetgen Tchetgen, Eric

    Published in Sociological methods & research (01-11-2024)
    “…In the United States and elsewhere, risk assessment algorithms are being used to help inform criminal justice decision-makers. A common intent is to forecast…”
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  3. 3

    The Endemic Amid the Pandemic: Seeking Help for Violence Against Women in the Initial Phases of COVID-19 by Sorenson, Susan B., Sinko, Laura, Berk, Richard A.

    Published in Journal of interpersonal violence (01-05-2021)
    “…During the first months of the COVID-19 pandemic, governments instituted a series of measures to control the spread of the virus. The measures were widely…”
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  4. 4

    Discrimination of SARS-CoV-2 infected patient samples by detection dogs: A proof of concept study by Essler, Jennifer L, Kane, Sarah A, Nolan, Pat, Akaho, Elikplim H, Berna, Amalia Z, DeAngelo, Annemarie, Berk, Richard A, Kaynaroglu, Patricia, Plymouth, Victoria L, Frank, Ian D, Weiss, Susan R, Odom John, Audrey R, Otto, Cynthia M

    Published in PloS one (14-04-2021)
    “…While the world awaits a widely available COVID-19 vaccine, availability of testing is limited in many regions and can be further compounded by shortages of…”
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  5. 5

    Statistical Procedures for Forecasting Criminal Behavior: A Comparative Assessment by Berk, Richard A, Bleich, Justin

    Published in Criminology & public policy (01-08-2013)
    “…Forecasts of recidivism have been widely used in the United States to inform parole decisions since the 1920s (Borden, 1928; Burgess, 1928). Of late, such…”
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  6. 6

    Weighting Regressions by Propensity Scores by Freedman, David A., Berk, Richard A.

    Published in Evaluation review (01-08-2008)
    “…Regressions can be weighted by propensity scores in order to reduce bias. However, weighting is likely to increase random error in the estimates, and to bias…”
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  7. 7

    Forecasting Domestic Violence: A Machine Learning Approach to Help Inform Arraignment Decisions by Berk, Richard A., Sorenson, Susan B., Barnes, Geoffrey

    Published in Journal of empirical legal studies (01-03-2016)
    “…Arguably the most important decision at an arraignment is whether to release an offender until the date of his or her next scheduled court appearance. Under…”
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    Fair Risk Algorithms by Berk, Richard A, Kuchibhotla, Arun Kumar, Tchetgen Tchetgen, Eric

    “…Machine learning algorithms are becoming ubiquitous in modern life. When used to help inform human decision making, they have been criticized by some for…”
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    An Introduction to Ensemble Methods for Data Analysis by Berk, Richard A.

    Published in Sociological methods & research (01-02-2006)
    “…This article provides an introduction to ensemble statistical procedures as a special case of algorithmic methods. The discussion begins with classification…”
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  14. 14

    After the gun: examining police visits and intimate partner violence following incidents involving a firearm by Small, Dylan S., Sorenson, Susan B., Berk, Richard A.

    Published in Journal of behavioral medicine (01-08-2019)
    “…Laws have been enacted to keep firearms out of the hands of abusers. In this study, we examined one such effort—removal of a firearm at the scene of intimate…”
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  15. 15

    Algorithmic approach to forecasting rare violent events: An illustration based in intimate partner violence perpetration by Berk, Richard A., Sorenson, Susan B.

    Published in Criminology & public policy (01-02-2020)
    “…Research Summary Mass violence, almost no matter how defined, is (thankfully) rare. Rare events are difficult to study in a systematic manner. Standard…”
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  16. 16

    Randomized experiments as the bronze standard by Berk, Richard A.

    Published in Journal of experimental criminology (01-12-2005)
    “…In this paper, the strengths and weakneses of randomized field experiments are discussed. Although it seems to be common knowledge that random assignment…”
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  17. 17

    Incarceration, education and transition from delinquency by Blomberg, Thomas G., Bales, William D., Mann, Karen, Piquero, Alex R., Berk, Richard A.

    Published in Journal of criminal justice (01-07-2011)
    “…Much of what is known regarding the transition away from crime is limited to young adulthood and specific life events and samples of non-serious offenders…”
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  18. 18

    Evaluating the Effectiveness of Personalized Medicine With Software by Kapelner, Adam, Bleich, Justin, Levine, Alina, Cohen, Zachary D., DeRubeis, Robert J., Berk, Richard

    Published in Frontiers in big data (18-05-2021)
    “…We present methodological advances in understanding the effectiveness of personalized medicine models and supply easy-to-use open-source software. Personalized…”
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  19. 19

    A Randomized Cross-Over Field Study of Pre-Hydration Strategies in Dogs Tracking in Hot Environments by Niedermeyer, Greta M., Hare, Elizabeth, Brunker, Leslie K., Berk, Richard A., Kelsey, Kathleen M., Darling, Tracy A., Nord, Jess L., Schmidt, Kasey K., Otto, Cynthia M.

    Published in Frontiers in veterinary science (03-06-2020)
    “…The objective of this study was to evaluate 4 pre-exercise hydration strategies (oral water, chicken-flavored water, chicken-flavored oral electrolyte…”
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  20. 20

    An impact assessment of machine learning risk forecasts on parole board decisions and recidivism by Berk, Richard

    Published in Journal of experimental criminology (01-06-2017)
    “…Objectives : The Pennsylvania Board of Probation and Parole has begun using machine learning forecasts to help inform parole release decisions. In this paper,…”
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