Publications in Nature Human Behaviour by NOMIS researchers

Trust in scientists and their role in society across 68 countries

NOMIS Researcher(s)

January 20, 2025

Details

Science is crucial for evidence-based decision-making. Public trust in scientists can help decision makers act on the basis of the best available evidence, especially during crises. However, in recent years the epistemic authority of science has been challenged, causing concerns about low public trust in scientists. We interrogated these concerns with a preregistered 68-country survey of 71,922 respondents and found that in most countries, most people trust scientists and agree that scientists should engage more in society and policymaking. We found variations between and within countries, which we explain with individual- and country-level variables, including political orientation. While there is no widespread lack of trust in scientists, we cannot discount the concern that lack of trust in scientists by even a small minority may affect considerations of scientific evidence in policymaking. These findings have implications for scientists and policymakers seeking to maintain and increase trust in scientists.

Research field(s)
Sociology, Psychology & Cognitive Sciences, Social Psychology

DOI
10.1038/s41562-024-02090-5

Resampling reduces bias amplification in experimental social networks

NOMIS Researcher(s)

Published in Nature Human Behaviour

August 1, 2023

Details

Large-scale social networks are thought to contribute to polarization by amplifying people’s biases. However, the complexity of these technologies makes it difficult to identify the mechanisms responsible and evaluate mitigation strategies. Here we show under controlled laboratory conditions that transmission through social networks amplifies motivational biases on a simple artificial decision-making task. Participants in a large behavioural experiment showed increased rates of biased decision-making when part of a social network relative to asocial participants in 40 independently evolving populations. Drawing on ideas from Bayesian statistics, we identify a simple adjustment to content-selection algorithms that is predicted to mitigate bias amplification by generating samples of perspectives from within an individual’s network that are more representative of the wider population. In two large experiments, this strategy was effective at reducing bias amplification while maintaining the benefits of information sharing. Simulations show that this algorithm can also be effective in more complex networks. © 2023, The Author(s), under exclusive licence to Springer Nature Limited.

Research field(s)
Health Sciences, Psychology & Cognitive Sciences, Experimental Psychology

DOI
10.1038/s41562-023-01715-5

Shared responsibility in collective decisions

NOMIS Researcher(s)

Published in Nature Human Behaviour

June 1, 2019

Details

Research investigating collective decision-making has focused primarily on the improvement of accuracy in collective decisions and less on the motives that drive individuals to make these decisions. We argue that a strong but neglected motive for making collective decisions is minimizing the material and psychological burden of an individual’s responsibility. Making difficult decisions with others shields individuals from the consequences of negative outcomes by reducing regret, punishment and stress. Considering shared responsibility as a another key motivation to join groups helps understand behaviours with societal implications such as political voting, committing norm violations, predicting natural disasters and making health-related decisions.

Research field(s)
Health Sciences, Psychology & Cognitive Sciences, Experimental Psychology

DOI
10.1038/s41562-019-0596-4

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