Philosophy of science · Queens College, CUNY
Trust without truth.
How do idealized, imperfect models give us knowledge we can rely on?
Three ways imperfect models earn trust.
The work, at full resolution.
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- What agreement between models can and can't tell us.
- Finding and fixing what went wrong.
- Learning more when models fail.
Philosophy of science · Queens College, CUNY
Trust without truth.
How do idealized, imperfect models give us knowledge we can rely on?
Three themes
The work
Antifragility
Learning more when models fail.
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2026
Antifragility in scientific modeling
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2026
Weather and climate modeling: value across disciplines (panel)
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2025
Why imperfect climate models are more helpful than you think Link
- 2024
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2023
Can subpar models contribute to climate justice? The case of geoengineering research
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2023
Why we should want models to disagree: the value of “bad” models in climate science
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2021
Geoengineering and climate change: the ethical, the practical, and the wicked
Errors
Finding and fixing what went wrong.
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2026
Earning credibility in AI-driven climate science: the role of component-level understanding
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2026
From models to field experiments: when is solar geoengineering research worth doing?
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2026
The productive role of error in AI-driven modeling Selected work
- 2026
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2026
When are small-scale field experiments in solar geoengineering worth pursuing? (poster)
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2025
Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling Selected work DOI
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2025
Moving beyond post hoc explainable artificial intelligence: lessons learned from dynamical climate modeling (poster)
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2025
Moving beyond post-hoc XAI: lessons learned from dynamical climate modelling
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2025
When are small-scale field experiments in solar geoengineering worth pursuing?
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2024
Can philosophers help make advances in climate modeling?
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2023
A philosophical take on error and lower-skill models in climate science
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2023
Diagnosing errors in climate model intercomparisons DOI
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2023
Diagnosing errors in climate model intercomparisons
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2023
Holism in climate modeling
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2023
PSC-CUNY Research Grant, Cycle 54
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2023
Research travel to NCAR
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2023
The value of error and failure in climate modeling: a philosophical perspective
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2022
Why we should want models to disagree: the value of error diagnosis and low-skill models in climate science
Robustness
What agreement between models can and can't tell us.
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2026
Logic and Scientific Reasoning
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2026
Trust without truth: how philosophy can help science navigate uncertainty
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2026
When are small-scale field experiments in solar geoengineering worth pursuing?
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2026
Why practice-oriented philosophy of the geosciences is essential: the case of model robustness
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2025
Convergence, divergence, and trust in climate models
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2025
From robustness to antifragility: a philosophical perspective on climate and Earth system models
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2025
Philosophy of the Environment
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2025
Philosophy of the Natural Sciences: pluralism and Indigenous perspectives on climate science
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2025
PSC-CUNY Research Grant, Cycle 56
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2023
CUNY Climate Consortium (C3)
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2023
Why should we trust (climate) models if they're all wrong?
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2022
Competition and pluralism in climate modeling
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2022
Model robustness in economics: the admissibility and evaluation of tractability assumptions DOI
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2021
Climate model comparisons: history and philosophical implications
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2021
Historical and contemporary climate model intercomparisons: lessons for pluralism in modeling
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2021
Robustness reasoning in climate model comparisons DOI
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2021
The influence of climate contrarianism on scientific research Link
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2021
Tractability assumptions, holism, and model robustness
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2020
Seepage, objectivity, and climate science DOI
Coupled to
Every model is coupled to others. Thank you to everyone this one runs on.
Climate and Earth system modeling
- Daniele Visioni Cornell University also Climate policy and intervention
- Richard Neale NCAR
- Ben Kravitz Indiana University
- Gavin A. Schmidt NASA Goddard Institute for Space Studies also Philosophy of science
- Matt Mayernik NCAR also Philosophy of science
Philosophy of science
- Elisabeth A. Lloyd Indiana University also Climate and Earth system modeling
- Dan Li O'Loughlin Inc. also Climate and Earth system modeling, AI and machine learning
- Yoichi Ishida Ohio University
AI and machine learning
- Travis A. O'Brien Indiana University also Climate and Earth system modeling
Climate policy and intervention
- Stuart Gluck U.S. Department of Energy, Office of Science also Philosophy of science