Christopher Wirz

Assistant Professor

University of Illinois Urbana–Champaign

United States

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Christopher Wirz is an Assistant Professor at the University of Illinois Urbana-Champaign. His research focuses on the intersection of artificial intelligence, environmental sciences, and social risks, as evidenced by his recent works on trustworthy AI and operational forecasting. He investigates public perceptions of AI and its impacts, alongside the methodological challenges of reproducibility in AI/ML research within earth systems science.

Articles (10)

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2021

Collaborators (9)

Mikhaila N. Calice

University of Wisconsin-Madison

UNITED STATES

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Michael Xenos

Professor

University of Wisconsin-Madison

UNITED STATES

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Dietram Scheufele

Taylor-Bascom Chair, and Vilas Distiguished Achievement Professor

University of Wisconsin-Madison

UNITED STATES

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Joel Cutcher-Gershenfeld

Professor

Brandeis University

UNITED STATES

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Paul Block

Associate Professor

University of Wisconsin-Madison

UNITED STATES

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Ann Bostrom

Weyerhaeuser Endowed Professor in Environmental Policy

University of Washington

UNITED STATES

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Amy McGovern

Professor

University of Oklahoma

UNITED STATES

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Dominique Brossard

Professor and Chair

University of Wisconsin-Madison

UNITED STATES

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Christina Kumler (Bonfanti)

University of Colorado Boulder

UNITED STATES

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Christopher Wirz

Research Interests

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About

Articles (10)

(Re)Conceptualizing trustworthy AI: A foundation for change

Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences

National Weather Service (NWS) Forecasters’ Perceptions of AI/ML and Its Use in Operational Forecasting

Increasing the Reproducibility and Replicability of Supervised AI/ML in the Earth Systems Science by Leveraging Social Science Methods

The risk of relocation: risk perceptions and communication surrounding the tradeoffs between floods and economic opportunities in Iquitos, Peru

Examining expertise: Synthetic biology experts’ perceptions of risk, benefit, and the public for research and applications regulation

Garbage in, garbage out: mitigating risks and maximizing benefits of AI in research

Whose AI? How different publics think about AI and its social impacts

Media Systems and Attention Cycles: Volume and Topics of News Coverage on COVID-19 in the United States and China

A Longitudinal Analysis of Americans’ Media Sources, Risk Perceptions, and Judged Need for Action during the Zika Outbreak

Collaborators (9)

Mikhaila N. Calice

Michael Xenos

Dietram Scheufele

Joel Cutcher-Gershenfeld

Paul Block

Ann Bostrom

Amy McGovern

Dominique Brossard

Christina Kumler (Bonfanti)

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