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Kirsten N Morehouse

Biographic Data

ID5379954
NAMEKirsten N Morehouse
GIVEN NAMESKirsten N
FAMILY NAMEMorehouse
SIGNATUREMOREHOUSE K N
ORCID0000-0002-4659-4479
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS4
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2024
H-INDEX1
  • The Science of Implicit Race Bias

    Open Access•Kirsten N Morehouse, Mahzarin R Banaji•ARTICLE•Daedalus•2024•Cited by: 3•References: 15

    Beginning in the mid-1980s, scientific psychology underwent a revolution – the implicit revolution – that led to the development of methods to capture implicit bias: attitudes, stereotypes, and identities that operate without full conscious awareness or conscious control. This essay focuses on a single notable thread of discoveries from the Race Attitude Implicit Association Test (RA-IAT) by providing 1) the historical origins of the research, 2)…

  • Responsible data sharing

    Kirsten N Morehouse, Benedek Kurdi et al.•ARTICLE•American Psychologist•2024

    Open data collected from research participants creates a tension between scholarly values of transparency and sharing, on the one hand, and privacy and security, on the other hand. A common solution is to make data sets anonymous by removing personally identifying information (e.g., names or worker IDs) before sharing. However, ostensibly anonymized data sets may be at risk of re-identification if they include demographic information. In the pres…

  • How do explicit and implicit evaluations shift? A preregistered meta-analysis of the effects of co-occurrence and relational information

    Benedek Kurdi, Kirsten N Morehouse et al.•ARTICLE•Journal of Personality and Social…•2023•Cited by: 1

  • The Science of Implicit Race Bias

    Open Access•Kirsten N Morehouse, Mahzarin R Banaji•ARTICLE•Daedalus•2024•Cited by: 3•References: 15

    Beginning in the mid-1980s, scientific psychology underwent a revolution – the implicit revolution – that led to the development of methods to capture implicit bias: attitudes, stereotypes, and identities that operate without full conscious awareness or conscious control. This essay focuses on a single notable thread of discoveries from the Race Attitude Implicit Association Test (RA-IAT) by providing 1) the historical origins of the research, 2)…

  • How do explicit and implicit evaluations shift? A preregistered meta-analysis of the effects of co-occurrence and relational information

    Benedek Kurdi, Kirsten N Morehouse et al.•ARTICLE•Journal of Personality and Social…•2023•Cited by: 1

  • How do explicit and implicit evaluations shift? A preregistered meta-analysis of the effects of co-occurrence and relational information

    Benedek Kurdi, Kirsten N Morehouse et al.•ARTICLE•Journal of Personality and Social…•2023•Cited by: 1

  • The Science of Implicit Race Bias

    Open Access•Kirsten N Morehouse, Mahzarin R Banaji•ARTICLE•Daedalus•2024•Cited by: 3•References: 15

    Beginning in the mid-1980s, scientific psychology underwent a revolution – the implicit revolution – that led to the development of methods to capture implicit bias: attitudes, stereotypes, and identities that operate without full conscious awareness or conscious control. This essay focuses on a single notable thread of discoveries from the Race Attitude Implicit Association Test (RA-IAT) by providing 1) the historical origins of the research, 2)…

  • Responsible data sharing

    Kirsten N Morehouse, Benedek Kurdi et al.•ARTICLE•American Psychologist•2024

    Open data collected from research participants creates a tension between scholarly values of transparency and sharing, on the one hand, and privacy and security, on the other hand. A common solution is to make data sets anonymous by removing personally identifying information (e.g., names or worker IDs) before sharing. However, ostensibly anonymized data sets may be at risk of re-identification if they include demographic information. In the pres…

Biology (2 works) · Psychology (2 works) · Association (psychology (1 work) · Computer Science (1 work) · Data Quality and Management (1 work) · Data science (1 work) · Ecology (1 work) · Ethics and Social Impacts of AI (1 work) · Gender Studies (1 work) · Gender Studies (1 work)

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