carolinepioger.bsky.social
She/her Cognitive Sciences, Decision-making, Climate Change PhD student in the Human Reinforcement Learning team Laboratoire de Neurosciences Cognitives Computationnelles Ecole Normale Supérieure (ENS), Paris, France
👤 Joined on 13 November 2024
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@carolinepioger.bsky.social5/ Huge congratulations to co-first authors @fabiencerrotti.bsky.social & @carolinepioger.bsky.social , and many thanks to @watarutoyokawa.bsky.social & @mael-lebreton.bsky.social for the collaboration.
Show Post4/ Effects on belief and preferences were still detectable weeks later. More broadly, we hope this work makes a case for adding reinforcement learning to the applied behavioural science toolbox.
Show Post4/ And the effects went beyond knowledge: belief correction predicted shifts in investment preferences toward cleaner and safer energy mixes. Reinforcement → belief correction → preference change.
Show Post3/ We then tested a very simple intervention inspired by reinforcement learning: make a choice → receive immediate feedback → learn. This brief training substantially corrected beliefs, especially where initial misconceptions were strongest.
Show Post2/ Across 7 countries, we found robust misconceptions about energy sources — notably overestimating the CO₂ emissions and mortality associated with nuclear power, and underestimating the health costs of biomass.
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