Heymann / Gramelsberger / Mahony Cultures of Prediction

Epistemic and Cultural Shifts in Computer-based Atmospheric and ClimateScience
Erscheinungsjahr 2017
ISBN: 978-1-315-40629-9
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 272 Seiten

Reihe: Routledge Environmental Humanities

In recent decades, science has experienced a revolutionary shift. The development and extensive application of computer modelling and simulation has transformed the knowledge-making practices of scientific fields as diverse as astro-physics, genetics, robotics and demography. This epistemic transformation has brought with it a simultaneous heightening of political relevance and a renewal of international policy agendas, raising crucial questions about the nature and application of simulation knowledges throughout public policy.

Through a diverse range of case studies, spanning over a century of theoretical and practical developments in the atmospheric and environmental sciences, this edited collection argues that computer modelling and simulation have substantially changed scientific and cultural practices and shaped the emergence of novel ‘cultures of prediction’.

Making an innovative, interdisciplinary contribution to understanding the impact of computer modelling on research practice, institutional configurations and broader cultures, this volume will be essential reading for anyone interested in the past, present and future of climate change and the environmental sciences.

Autoren/Hrsg.

Heymann, Matthias

Gramelsberger, Gabriele

Mahony, Martin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Geowissenschaften Umweltwissenschaften Umweltwissenschaften
• Sozialwissenschaften Politikwissenschaft Regierungspolitik Umwelt- und Gesundheitspolitik
• Geowissenschaften Umweltwissenschaften Umweltpolitik, Umweltprotokoll

Inhaltsverzeichnis

- Introduction
Matthias Heymann, Gabriele Gramelsberger, Martin Mahony

- Key characteristics of cultures of prediction
Matthias Heymann, Gabriele Gramelsberger, Martin Mahony

Part I Junctions: Science and politics of prediction

- Calculating the weather. Emerging cultures of meteorological prediction in late ninetieth and early twentieth century Europe
Gabriele Gramelsberger

- Which design for a weather predictor? Speculating on the future of electronic forecasting in post-war America
Christoph Rosol

5) A new climate. Hubert H. Lamb and boundary work at the UK Meteorological Office
Janet Martin-Nielsen

- From heuristic to predictive. Making climate models into political instruments
Matthias Heymann, Nils Randlev Hundebøl

- How to develop climate models? The "gamble" of improving climate model parameterizations
Hélène Guillemot

Part II Challenges and debates: Negotiating and using simulation knowledge

- The (re)emergence of regional climate. Mobile models, regional visions and the government of climate change
Martin Mahony

- Bellwether, exceptionalism, and other tropes. Political coproduction of arctic climate modeling
Nina Wormbs, Ralf Döscher, Annika E. Nilsson, Sverker Sörlin

- From predictive to instructive. Using models for geo engineering
Johann Feichter, Markus Quante

- Validating models in the face of uncertainty. Geotechnical engineering and dike vulnerability in the Netherlands
Matthijs Kouw

- Tracing uncertainty management through four IPCC Assessment Reports and beyond Catharina Landström

- The future face of the Earth. The visual semantics of the future in the climate change imagery of the IPCC
Birgit Schneider

Über Autor(innen)

Matthias Heymann is Associate Professor for the history of science and technology at the Centre for Science Studies, Aarhus University, Denmark.

Gabriele Gramelsberger is a Professor for philosophy of digital media at the University Witten/Herdecke, Germany.

Martin Mahony is a British Academy Postdoctoral Fellow in the School of Geography, University of Nottingham.