Models of Scientific Communities:

I am building formal models of scientific communities to answer questions like: how can industry influence the public understanding of science?  How do communication structures impact the emergence of scientific consensus?  And: What can idealized models tell us about complicated scientific communities?  In addition to the work here, look under the next heading for models of diverse groups in science.

How to Beat Science and Influence People, with James Owen Weatherall and Justin P. Bruner, Working Paper 2017

Scientific Polarization, with James Owen Weatherall, Working Paper, 2017

The Natural Selection of Conservative Science, Working Paper, 2017

In Epistemic Networks, Is Less Really More?, (official link) with Sarita Rosenstock and Justin P. Bruner, Philosophy of Science, 2017

Formal Models of Diversity:

Along with some collaborators, I’m using evolutionary modeling to understand issues related to diversity such as: How do discriminatory norms arise between social groups?  How does power influence strategic behavior between academics?  How do gender and class emerge in societies?

Here are some recent research projects.

Modeling Minimal Conditions for Inequity, Working Paper 2017

 Promoting Diverse Collaborations, with Michael Schneider and Hannah Rubin, Working Paper 2017

Discrimination and Collaboration in Science, with Hannah Rubin, Philosophy of Science, Forthcoming

The Evolution of Intersectional Oppression with Liam K. Bright and Justin P. Bruner, BJPS, Conditional Accept, 2017

The Cultural Red King Effect, (official linkJournal of Mathematical Sociology, 2017

Dynamics and Diversity in Epistemic Communities, (official link) with Justin P. Bruner, Erkenntnis, 2017

Power, Bargaining, and Collaboration, with Justin P. Bruner, in Scientific Collaboration and Collective Knowledge, 2017

Moral Emotions and Naturalized Ethics:

I’m using tools from evolutionary modeling to assess and expand work in philosophy on the evolution of moral emotions.

The Evolution of Guilt: a Model Based Approach, (official linkPhilosophy of Science, 2015

When it’s Good to Feel Bad: Evolutionary Models of Guilt and Apology, with Sarita Rosenstock, Working Paper, 2016

Guilt, Games, and Evolution, (official link) for Emotions Researcher, 2016

Deus Ex Machina: a Cautionary Tale For Naturalists , (official link) with P. Kyle Stanford, Elliott Wagner, and Nathan Fulton, Analyse & Kritik, 2012

Categories, Generalization, and Vagueness:

In my thesis project, I completed a cluster of related papers which applied the same game theoretic model – the sim-max game – to several interrelated problems including the evolution of linguistic vagueness, linguistic ambiguity, perceptual categories, learning generalization, and cluster kinds terms.

The Evolution of Vagueness, (official link), Erkenntnis, 2014

Evolving Perceptual Categories, (official linkPhilosophy of Science, 2014

Evolving to Generalize: Trading Precision for Speed, (official linkBJPS, 2017

Ambiguity is Kinda Good, Sometimes, (official linkPhilosophy of Science, 2015

Games and Kinds, BJPS, forthcoming

Experimental Economics in Philosophy:

I’m part of a group using methods from experimental economics to investigate philosophical questions.  We’re addressing questions related to the emergence of language.

David Lewis in the Lab: Experimental Results on the Emergence of Meaning, (official link) with Justin Bruner, Hannah Rubin, and Simon Huttegger, Synthese, 2014

Communication Without the Cooperative Principle: a Signaling Experiment with Hannah Rubin, Justin P. Bruner, and Simon Huttegger, Working Paper, 2015

Reviews:

Black Holes, Black-Scholes, and Prairie Voles: as Essay Review of Simulation and Similarity by Michael Weisberg, (official link) with Jim Weatherall, Philosophy of Science, Forthcoming

Review of Peter Godfrey-Smith’s Philosophy of Biology, (official linkPhilosophy of Science, 2015

Review of Peter Godfrey-Smith’s Darwinian Populations, (official linkPhilosophy of Science, 2012

Other:

I took part in an interdisciplinary meeting to clarify current thinking on sexual selection and recommend avenues of new research.

Sexual Selection: a NESCent Catalyst Meeting, with fifteen interdisciplinary researchers