Publications by authors named "S Schulreich"
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.
View Article and Find Full Text PDFScience is integral to society because it can inform individual, government, corporate, and civil society decision-making on issues such as public health, new technologies or climate change. Yet, public distrust and populist sentiment challenge the relationship between science and society. To help researchers analyse the science-society nexus across different geographical and cultural contexts, we undertook a cross-sectional population survey resulting in a dataset of 71,922 participants in 68 countries.
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- Scientists did a big survey with over 59,000 people from 63 countries to understand how people think about climate change!
- They tested different ways to encourage people to believe in climate change and support actions to help the environment!
- The study includes lots of information and data that can help others learn more about what influences people's actions on climate change around the world!
Article Synopsis
- Effective global behavior change is crucial for reducing climate change, but it's unclear which strategies motivate people to shift their beliefs and actions.
- A study tested 11 interventions on nearly 60,000 participants across 63 countries, finding small effectiveness primarily among non-skeptics and varied results across different outcomes.
- Key results showed that reducing psychological distance strengthened beliefs, writing a letter to a future generation increased policy support, and inducing negative emotions encouraged information sharing, but no strategy successfully boosted tree-planting efforts.
Selective use of new information is crucial for adaptive decision-making. Combining a gamble bidding task with assessing cortical responses using functional near-infrared spectroscopy (fNIRS), we investigated potential effects of information valence on behavioral and neural processes of belief and value updating during uncertainty reduction in young adults. By modeling changes in the participants' expressed subjective values using a Bayesian model, we dissociated processes of (i) updating beliefs about statistical properties of the gamble, (ii) updating values of a gamble based on new information about its winning probabilities, as well as (iii) expectancy violation.
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