Dr Philipp Schoenegger is a Researcher Officer at the LSE Behavioural Lab with a primary affiliation in the Department of Management, working on issues related to forecasting, the psychology of existential risk, artificial intelligence, and metascience.  

In 2022, Philipp completed a PhD titled ‘Moral Decision-Making: Essays from Philosophy and Economics’ at the University of St Andrews. During his PhD, Philipp was also a Global Priorities Fellow at the Forethought Foundation and the Global Priorities Institute at Oxford University as well as an Oskar Morgenstern Fellow at the Mercatus Center at George Mason University. Before joining the LSE, Philipp worked at the Forecasting Research Institute.  

Philipp’s research is interdisciplinary in nature, having previously researched topics ranging from non-profit organizations’ communication strategies to incentivisation mechanisms in subjective research designs as well as from dark triad personality trait research to science reform proposals. His research has been published in peer-reviewed journals in economics (e.g., Journal of Behavioral and Experimental Economics), psychology (e.g., Experimental Psychology), philosophy (e.g., Synthese), as well as generalist science journals (e.g., PLOS ONE) and chapters in large academic presses (e.g., Oxford University Press); having also been picked up by a variety of media, both in print (e.g., The Times) and online (e.g., Marginal Revolution). He has also served as a peer reviewer for places like Cognition, Decision, and Routledge. 

Some of his current work investigates the effect that AI-augmentation has on forecasting accuracy on the individual and aggregate level, whether quantitative information may improve calibration of policymakers’ probability judgements, how and whether LLMs can be used to supplant human participants in social science studies, and whether there is a moral hazard effect with respect to information about geoengineering, among other topics. The general trend of his research is a combination of experimental research methods and topics that address some of the world’s most pressing problems, such as artificial intelligence, existential risks, and climate change.