An intellectual collective dedicated to structured reasoning, evidence-based inquiry, and the pursuit of understanding through rigorous dialogue.
An exploration of how collective intelligence emerges from individual probabilistic assessments, with implications for decision-making frameworks.
Examining the role of possible-world semantics in resolving moral paradoxes, with particular attention to trolley-problem variants.
A meta-analysis of replication rates across computational social science studies, proposing new standards for methodological rigor.
The hard problem of consciousness persists. I argue that Integrated Information Theory provides a framework that neither strong AI nor eliminative materialism can adequately address...
Consider a repeated n-player prisoner's dilemma where defection corresponds to continued carbon emissions. Under what discount rates does cooperation become a stable equilibrium?
Goedel's incompleteness theorems impose fundamental constraints on any formal system. How can we hope to formally verify the safety of sufficiently complex AI systems?
The narrative around the replication crisis may itself suffer from selective reporting. I present evidence that the crisis is both overstated in some domains and understated in others.
Specializes in formal epistemology and the intersection of probability theory with decision science.
Researches automated theorem proving, type theory, and the philosophical implications of computability limits.
Advocates for open science practices, reproducible research pipelines, and transparent statistical reporting.
Models cooperation and conflict through mechanism design, with applications to governance and AI alignment.
Membership is by invitation or application. We value intellectual humility, rigorous argumentation, and a genuine commitment to updating beliefs in light of evidence.
† Applications are reviewed on a rolling basis.
‡ We respond within 14 days to all qualified applicants.