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Defense of the Scientific Hypothesis: From Reproducibility Crisis to Big Data
Contributor(s): Alger, Bradley E. (Author)
ISBN: 0190881488     ISBN-13: 9780190881481
Publisher: Oxford University Press, USA
OUR PRICE:   $56.05  
Product Type: Hardcover - Other Formats
Published: October 2019
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Science | Research & Methodology
- Psychology | Cognitive Psychology & Cognition
- Science | Philosophy & Social Aspects
Dewey: 501
LCCN: 2019017418
Physical Information: 1.6" H x 6.1" W x 9.3" (1.65 lbs) 448 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
Defense of Scientific Hypothesis: From Reproducibility Crisis to Big Data sets out to explain and defend the scientific hypothesis. Alger's mission is to counteract the misinformation and misunderstanding about the hypothesis that even seasoned scientists have concerning its nature and place
in modern science. Most biological scientists receive little or no formal training in scientific thinking. Further, the hypothesis is under attack by critics who claim that it is irrelevant to science. In order to appreciate and evaluate scientific controversies like global climate change, vaccine
safety, etc., the public first needs to understand the hypothesis. Defense of Scientific Hypothesis begins by describing and analyzing the scientific hypothesis in depth and examining its relationships to various kinds of science. Alger then guides readers through a review of the hypothesis in
the context of the Reproducibility Crisis and presents survey data on how scientists perceive and employ hypotheses. He assesses cognitive factors that influence our ability to use the hypothesis and makes practical and policy recommendations for teaching and learning about it. Finally, Alger
considers two possible futures of the hypothesis in science as the Big Data revolution looms: in one scenario, the hypothesis is displaced by the Big Data Mindset that forgoes understanding in favor of correlation and prediction. In the other, robotic science incorporates the hypotheses into
mechanized laboratories guided by artificial intelligence. But in his illuminating epilogue, Alger envisions a third way, the Centaur Scientist, a symbiotic relationship between human scientists and computers.