This project introduces a new survey instrument to investigate the relation between the power to hurt (i.e. enemy casualties) and to be hurt (i.e. friendly casualties) and their combined impact on the willingness to support the use of military force.
This project draws on psychometrics and machine learning techniques to propose a non-parametric Bayesian method to optimize complex multidimensional experimental estimation.
This projects examines the impact of established survey instruments on the cognitive burden of participants and proposes a new instrument design to improve survey response quality.
Building upon recent innovations in Computational Science, this projects proposes a new framework for inference in international relations where strategic considerations are rampant.
This paper introduces a new way to estimate individual preferences to investigate how participants respond to partisan cues regarding tariffs.
This project draws on psychometrics and machine learning techniques to propose a non-parametric Bayesian method to optimize complex multidimensional experimental estimation.
This projects introduces a new method to estimate the temporal preferences of individuals regarding collective outcomes.