Buch, Englisch, 114 Seiten, Book, Format (B × H): 155 mm x 235 mm, Gewicht: 227 g
ISBN: 978-3-030-65102-2
Verlag: Springer-Verlag GmbH
With a rare background in physics, economics and sociology, the author is able to present an insider’s view of the strengths, weaknesses and dangers of transforming our lives into numbers. After reading this book, you’ll understand how different numerical models work and how they are used in practice. The author begins by exploring several simple, easy-to-understand models that form the basis for more complex simulations. What follows is an exploration of the myriad ways that models have come to describe and define our world, from epidemiology and climate change to urban planning and the world chess championship.
Highly engaging and nontechnical, this book will appeal to any readers interested in understanding the links between data and society and how our lives are being increasingly captured in numbers.
Zielgruppe
Popular/general
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
- Geisteswissenschaften Philosophie Wissenschaftstheorie, Wissenschaftsphilosophie
- Technische Wissenschaften Technik Allgemein Modellierung & Simulation
- Geisteswissenschaften Philosophie Sozialphilosophie, Politische Philosophie
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
Weitere Infos & Material
Introduction.- Three Simple Models.- What can be Learnt from Simple Models?.- Reality Check for Simple Models.- A Physical Simple Model.- What are Simple Models Worth for?.- Complex Models to Understand Complex Social Situations.- Modelling Epidemics.- Why Weather/Climate Forecasts can be Trusted.- We are not Social Atoms.- Social Data are Soaked by Social Complexity.- Machines that Learn How to Model.- Starting from Data to Hunt Causes.- A Moral Thermometer?.- Where do Indicators Lead us?. Which Numbers for the Future?.- Conclusion.- Acknowledgements.- Annexes.