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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.
This book investigates the declining understanding and utility of the scientific hypothesis in modern research, arguing for its continued necessity despite the rise of big data. Bradley E. Alger, a seasoned scientist, addresses the lack of formal training in scientific thinking within biological sciences. He posits that the hypothesis remains a critical tool for navigating complex controversies and proposes a symbiotic future where human reasoning and computational power integrate to advance scientific discovery.
What You Will Find
Scope Limits
Experts recognize this work as a significant contribution to the philosophy of science, particularly regarding the intersection of traditional methodology and modern data analytics. Readers frequently note the academic density of the prose, which serves as a rigorous examination of scientific practice for both researchers and informed laypeople.
Page Count:
256
Publication Date:
2019-01-01
Publisher:
Oxford University Press
ISBN-10:
0190881496
ISBN-13:
9780190881498
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