Joseph Hamm

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Michigan State University

United States

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Recent Grants

Grant: Close

Improving Officer Safety and Decision-making by Understanding and Harnessing Within-Officer States and Between-Officer Traits

Open Date: 2020-03-01

Close Date: 2022-02-28

Grant: Close

Doctoral Dissertation Research: Understanding the Role of Trust in Cooperating with Natural Resource Institutions

Open Date: 2012-04-01

Close Date: 2014-03-31

Articles (15)

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2024

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2021

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2021

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2021

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2020

Collaborators (7)

Mark Axelrod

Associate Professor

Michigan State University

UNITED STATES

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Rosalind Searle

professor of HRM and Organisational Psychology

University of Glasgow

UNITED KINGDOM

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D.G. Webster

Associate Professor

Dartmouth College

UNITED STATES

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Amanda Osuna

Assistant Professor

University of Tampa

UNITED STATES

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Will Jennings

University of Southampton

UNITED KINGDOM

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Viktor Valgarðsson

University of Southampton

UNITED KINGDOM

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Oran Young

University of California

UNITED STATES

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Joseph Hamm

Research Interests

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Recent Grants

Articles (15)

Capturing the conversation of trust research

‘Follow the science’: Popular trust in scientific experts during the coronavirus pandemic

Integrating focal vulnerability into trust research

Impact and (the Journal of) Trust Research

Self‐efficacy, prosocial impact, and self‐legitimacy as psychological predictors of judicial officer performance

Conceptualizing trust and distrust as alternative stable states: lessons from the Flint Water Crisis

(Re)Organizing legitimacy theory

Pushing past the plateau

Instrumental and normative pathways to police legitimacy: why do people cooperate with the police?

Comfort with and willingness to participate in COVID-19 contact tracing: The role of risk perceptions, trust, and political ideology

Learning from the Past: Pandemics and the Governance Treadmill

Public Vulnerability to the Police: A Quantitative Inquiry

Using public priorities to disentangle the dimensions of procedural justice and trustworthiness in police–citizen interactions

Assessing Consumer Buy and Pay Preferences for Labeled Food Products with Statistical and Machine Learning Methods

JUST: a measure of jury system trustworthiness

Collaborators (7)

Mark Axelrod

Rosalind Searle

D.G. Webster

Amanda Osuna

Will Jennings

Viktor Valgarðsson

Oran Young

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