Misunderstanding Science? offers a challenging new perspective on the public understanding of science. In so doing, it challenges existing ideas of the nature of science and its relationships with society. Its analysis and case presentation are highly relevant to current concerns over the uptake, authority and effectiveness of science as expressed, for example, in areas such as education, medical/health practice, risk and the environment, and technological innovation. Based on several in-depth case studies, and informed theoretically by the sociology of scientific knowledge, the book shows how the public understanding of science raises questions about the epistemic commitments and institutional structures that constitute modern science. These key aspects are usually ignored in standard treatments of the subject. The book suggests that many of the inadequacies in the social integration and support of science might be overcome if modern scientific institutions were more reflexive and open about the implicit normative commitments embedded in scientific cultures.

Science and technology are embedded in virtually every aspect of modern life. As a result, people face an increasing need to integrate information from science with their personal values and other considerations as they make important life decisions about medical care, the safety of foods, what to do about climate change, and many other issues. Communicating science effectively, however, is a complex task and an acquired skill. Moreover, the approaches to communicating science that will be most effective for specific audiences and circumstances are not obvious. Fortunately, there is an expanding science base from diverse disciplines that can support science communicators in making these determinations. Communicating Science Effectively offers a research agenda for science communicators and researchers seeking to apply this research and fill gaps in knowledge about how to communicate effectively about science, focusing in particular on issues that are contentious in the public sphere. To inform this research agenda, this publication identifies important influences â€" psychological, economic, political, social, cultural, and media-related â€" on how science related to such issues is understood, perceived, and used.

A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right. In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.

Effective science teaching requires creativity, imagination, and innovation. In light of concerns about American science literacy, scientists and educators have struggled to teach this discipline more effectively. Science Teaching Reconsidered provides undergraduate science educators with a path to understanding students, accommodating their individual differences, and helping them grasp the methodsâ€"and the wonderâ€"of science. What impact does teaching style have? How do I plan a course curriculum? How do I make lectures, classes, and laboratories more effective? How can I tell what students are thinking? Why don't they understand? This handbook provides productive approaches to these and other questions. Written by scientists who are also educators, the handbook offers suggestions for having a greater impact in the classroom and provides resources for further research.

This open access report explores the nature and extent of students’ misconceptions and misunderstandings related to core concepts in physics and mathematics and physics across grades four, eight and 12. Twenty years of data from the IEA’s Trends in International Mathematics and Science Study (TIMSS) and TIMSS Advanced assessments are analyzed, specifically for five countries (Italy, Norway, Russian Federation, Slovenia, and the United States) who participated in all or almost all TIMSS and TIMSS Advanced assessments between 1995 and 2015. The report focuses on students’ understandings related to gravitational force in physics and linear equations in mathematics. It identifies some specific misconceptions, errors, and misunderstandings demonstrated by the TIMSS Advanced grade 12 students for these core concepts, and shows how these can be traced back to poor foundational development of these concepts in earlier grades. Patterns in misconceptions and misunderstandings are reported by grade, country, and gender. In addition, specific misconceptions and misunderstandings are tracked over time, using trend items administered in multiple assessment cycles. The study and associated methodology may enable education systems to help identify specific needs in the curriculum, improve inform instruction across grades and also raise possibilities for future TIMSS assessment design and reporting that may provide more diagnostic outcomes.

50 Great Myths of Popular Psychology uses popular myths as a vehicle for helping students and laypersons to distinguish science from pseudoscience. Uses common myths as a vehicle for exploring how to distinguish factual from fictional claims in popular psychology Explores topics that readers will relate to, but often misunderstand, such as 'opposites attract', 'people use only 10% of their brains', and 'handwriting reveals your personality' Provides a 'mythbusting kit' for evaluating folk psychology claims in everyday life Teaches essential critical thinking skills through detailed discussions of each myth Includes over 200 additional psychological myths for readers to explore Contains an Appendix of useful Web Sites for examining psychological myths Features a postscript of remarkable psychological findings that sound like myths but that are true Engaging and accessible writing style that appeals to students and lay readers alike

Winner of the 2015 Book Prize for the Promotion of Social and Personality Science (Society for Personality and Social Psychology) Why are we sometimes blind to the minds of others, treating them like objects or animals instead? Why do we talk to our cars, or the stars, as if there is a mind that can hear us? Why do we so routinely believe that others think, feel, and want what we do when, in fact, they do not? And why do we think we understand our spouses, family, and friends so much better than we actually do? In this illuminating book, leading social psychologist Nicholas Epley introduces us to what scientists have learned about our ability to understand the most complicated puzzle on the planet—other people—and the surprising mistakes we so routinely make. Mindwise will not turn others into open books, but it will give you the wisdom to revolutionize how you think about them—and yourself.

Like fast food, fast science is quickly prepared, not particularly good, and it clogs up the system. Efforts to tackle our most pressing issues have been stymied by conflict within the scientific community and mixed messages symptomatic of a rushed approach. What is more, scientific research is being shaped by the bubbles and crashes associated with economic speculation and the market. A focus on conformism, competitiveness, opportunism and flexibility has made it extremely difficult to present cases of failure to the public, for fear that it will lose confidence in science altogether. In this bold new book, distinguished philosopher Isabelle Stengers shows that research is deeply intertwined with broader social interests, which means that science cannot race ahead in isolation but must learn instead to slow down. Stengers offers a path to an alternative science, arguing that researchers should stop seeing themselves as the 'thinking, rational brain of humanity' and refuse to allow their expertise to be used to shut down the concerns of the public, or to spread the belief that scientific progress is inevitable and will resolve all of society's problems. Rather, science must engage openly and honestly with an intelligent public and be clear about the kind of knowledge it is capable of producing. This timely and accessible book will be of great interest to students, scholars and policymakers in a wide range of fields, as well anyone concerned with the role of science and its future.

There is a logical flaw in the statistical methods used across experimental science. This fault is not a minor academic quibble: it underlies a reproducibility crisis now threatening entire disciplines. In an increasingly statistics-reliant society, this same deeply rooted error shapes decisions in medicine, law, and public policy with profound consequences. The foundation of the problem is a misunderstanding of probability and its role in making inferences from observations. Aubrey Clayton traces the history of how statistics went astray, beginning with the groundbreaking work of the seventeenth-century mathematician Jacob Bernoulli and winding through gambling, astronomy, and genetics. Clayton recounts the feuds among rival schools of statistics, exploring the surprisingly human problems that gave rise to the discipline and the all-too-human shortcomings that derailed it. He highlights how influential nineteenth- and twentieth-century figures developed a statistical methodology they claimed was purely objective in order to silence critics of their political agendas, including eugenics. Clayton provides a clear account of the mathematics and logic of probability, conveying complex concepts accessibly for readers interested in the statistical methods that frame our understanding of the world. He contends that we need to take a Bayesian approach—that is, to incorporate prior knowledge when reasoning with incomplete information—in order to resolve the crisis. Ranging across math, philosophy, and culture, Bernoulli’s Fallacy explains why something has gone wrong with how we use data—and how to fix it.