Science is the greatest of human inventions. Through its norms and procedures, we have improved human health and longevity. But what about the health of science itself? And how do we discern reliable science from less reliable science, especially in this new era of generative AI? Turning the proverbial microscope on science itself, this seminar will explore some of the mechanisms spreading misinformation in and about science and will provide a set of skills, tools, and case studies for identifying predatory journals, statistical mishaps, misplaced expertise, publication bias, hype, and other related issues of misinformation.
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