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Apr 12, 2002 · The work of Mill, Peirce, and Popper is a resource for philosophers presently exploring the social dimensions of scientific knowledge. However, the current debates are framed in the context of developments in both philosophy of science and in history and social studies of science following the collapse of the logical empiricist consensus.
May 4, 2022 · Those forces ignite epidemics of misinformation against pillars of society: among them our systems of justice, education, science, and democracy. “Trust in scientific institutions has taken a huge hit,” says Timothy Caulfield, LLM, research director of the Health Law Institute at the University of Alberta, Canada.
Apr 12, 2002 · Study of the social dimensions of scientific knowledge encompasses the effects of scientific research on human life and social relations, the effects of social relations and values on scientific research, and the social aspects of inquiry itself.
Nov 28, 2021 · We examine the kinds of bias that can affect science, the mechanisms available for dealing with them, and the arguments against treating them as a basis for blanket scepticism.
Sep 5, 2019 · The growing importance of social media for getting science news has raised questions about whether these online platforms foster or hinder public trust in science. Employing multilevel modeling, this study leverages a 20-country survey to examine the relationship between social media news use and trust in science.
- Brigitte Huber, Matthew Barnidge, Homero Gil de Zúñiga, James Liu
- 2019
May 5, 2022 · The first three articles provide a vital reminder that factors beyond partisanship can threaten the use of science—including varied life experiences, informational content and beliefs, and trust in institutions. Those who promote science must carefully consider the role of these variables.
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Can a scientific uncertainty tool help readers make sense of socioscientific issues?
Feb 4, 2022 · Untrustworthy science can and should be discounted and challenged, but uncertainty in science is unavoidable, and scientific characterization of uncertainty can be extremely useful when decision-makers have strategies for making decisions amidst that uncertainty.