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Katherine Bryant

Biographic Data

ID4442171
NAMEKatherine Bryant
GIVEN NAMESKatherine
FAMILY NAMEBryant
SIGNATUREBRYANT K
AFFILIATIONSUniversity of North Carolina at Chapel Hill
ORCID0000-0001-5047-3824
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS4
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Identifying children at risk for maltreatment fatalities

    Daniel Gibbs, Daniel J Gibbs et al.•ARTICLE•Journal of Public Child Welfare•2024•References: 2

    Data-driven decision-making is a common approach for identifying child maltreatment. However, such strategies must be guided by ethical, equitable, and evaluative frameworks due to their potential for bias and error. This study analyzes the key features, potential challenges, and research evidence of a data-driven strategy known as Birth Match. Interviews with key informants across four states indicate that programs share features and objectives …

  • A systematic review of the effectiveness of children’s behavioral health interventions in psychiatric residential treatment facilities

    Open Access•Paul Lanier, Todd Jensen et al.•ARTICLE•Children and Youth Services Review•2020

  • Preventing Infant Maltreatment with Predictive Analytics

    Open Access•Paul Lanier, Maria Rodríguez et al.•ARTICLE•Journal of Family Violence•2019•Cited by: 4•References: 1

  • Instagram

    Open Access•Pavica Sheldon, Katherine Bryant•ARTICLE•Computers in Human Behavior•2016

  • Preventing Infant Maltreatment with Predictive Analytics

    Open Access•Paul Lanier, Maria Rodríguez et al.•ARTICLE•Journal of Family Violence•2019•Cited by: 4•References: 1

  • Instagram

    Open Access•Pavica Sheldon, Katherine Bryant•ARTICLE•Computers in Human Behavior•2016

  • Preventing Infant Maltreatment with Predictive Analytics

    Open Access•Paul Lanier, Maria Rodríguez et al.•ARTICLE•Journal of Family Violence•2019•Cited by: 4•References: 1

  • A systematic review of the effectiveness of children’s behavioral health interventions in psychiatric residential treatment facilities

    Open Access•Paul Lanier, Todd Jensen et al.•ARTICLE•Children and Youth Services Review•2020

  • Identifying children at risk for maltreatment fatalities

    Daniel Gibbs, Daniel J Gibbs et al.•ARTICLE•Journal of Public Child Welfare•2024•References: 2

    Data-driven decision-making is a common approach for identifying child maltreatment. However, such strategies must be guided by ethical, equitable, and evaluative frameworks due to their potential for bias and error. This study analyzes the key features, potential challenges, and research evidence of a data-driven strategy known as Birth Match. Interviews with key informants across four states indicate that programs share features and objectives …

Computer Science (3 works) · Psychology (3 works) · Child Abuse and Trauma (2 works) · Computer security (2 works) · Environmental health (2 works) · Grief, Bereavement, and Mental Health (2 works) · Medicine (2 works) · Poison control (2 works) · Political science (2 works) · Transparency (behavior (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae