Distrust

Big Data, Data-Torturing, and the Assault on Science
Erscheinungsjahr 2023
ISBN: 978-0-19-286845-9
Verlag: Oxford University Press

Buch, Englisch, 332 Seiten, Print PDF, Format (B × H): 160 mm x 238 mm, Gewicht: 724 g

There is no doubt science is currently suffering from a credibility crisis.

This thought-provoking book argues that, ironically, science's credibility is being undermined by tools created by scientists themselves. Scientific disinformation and damaging conspiracy theories are rife because of the internet that science created, the scientific demand for empirical evidence and statistical significance leads to data torturing and confirmation bias, and data mining is fuelled by the technological advances in Big Data and the development of ever-increasingly powerful computers.

Using a wide range of entertaining examples, this fascinating book examines the impacts of society's growing distrust of science, and ultimately provides constructive suggestions for restoring the credibility of the scientific community.

Autoren/Hrsg.

Smith, Gary

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Volksglaube & Umstrittenes Wissen
• Geisteswissenschaften Philosophie Angewandte Ethik & Soziale Verantwortung Wissenschaftsethik, Technikethik
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV

Inhaltsverzeichnis

- Introduction: Disinformation, Data Torturing, and Data Mining

- Part I - Disinformation

- 1: The Paranormal Is Normal

- 2: Flying Saucers and Space Tourists

- 3: Elite Conspiracies

- 4: A Post-Fact World

- Part II - Data Torturing

- 5: Squeezing Blood from Rocks

- 6: Most Medicines Disappoint

- 7: Provocative, but Wrong

- Part III - Data Mining

- 8: Looking for Needles in Haystacks

- 9: Beat the Market

- 10: Too Much Data

- Part IV - The Real Promise and Peril of AI

- 11: Overpromising and Underdelivering

- 12: Artificial Unintelligence

- Part V - The Crisis

- 13: Irreproducible Research

- 14: The Replication Crisis

- 15: Restoring the Luster of Science

Über Autor(innen)

Gary Smith is the Fletcher Jones Professor of Economics at Pomona College. He received his Ph.D. in Economics from Yale University and was an Assistant Professor there for seven years. He has won two teaching awards and written (or co-authored) more than 100 academic papers and 15 books. He is the author of The AI Delusion (OUP 2018) and co-author with Jay Cordes of The 9 Pitfalls of Data Science (OUP 2019), which won the 2020 Prose Award for Excellence in Popular Science & Popular Mathematics by the Association of American Publishers.