Prof. Dr. Gabriele Gramelsberger
Alumni FU Berlin
Matthias Heymann, Gabriele Gramelsberger, Martin Mahony (eds.): Cultures of Prediction in Atmospheric and Climate Science, Routledge Environmental Humanities 2017
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.
2017, March, 288 pages, £95.00
Routledge Environmental Humanities
»Publisher's Page of Cultures of Prediction (external link, english)
Table of Content
1. Introduction by Matthias Heymann, Gabriele Gramelsberger, Martin Mahony
2. Key characteristics of cultures of prediction by Matthias Heymann, Gabriele Gramelsberger, Martin Mahony
Part I Junctions: Science and politics of prediction
3. Calculating the weather. Emerging cultures of meteorological prediction in late ninetieth and early twentieth century Europe by Gabriele Gramelsberger, Berlin
4. Which design for a weather predictor? Speculating on the future of electronic forecasting in post-war America by Christoph Rosol, Berlin
5.A new climate. Hubert H. Lamb and boundary work at the UK Meteorological Office by Janet Martin-Nielsen, Brussels
6. From heuristic to predictive. Making climate models into political instruments by Matthias Heymann, Nils Randlev Hundebøl - both Aarhus
7. How to develop climate models? The "gamble" of improving climate model parameterizations by Hélène Guillemot, Paris
Part II Challenges and debates: Negotiating and using simulation knowledge
8. The (re)emergence of regional climate. Mobile models, regional visions and the government of climate change by Martin Mahony, Nottingham
9. Bellwether, exceptionalism, and other tropes. Political coproduction of arctic climate modelingby Nina Wormbs, Ralf Döscher, Annika E. Nilsson, Sverker Sörlin - all Stockholm
10. From predictive to instructive. Using models for geo engineering by Johann Feichter, Markus Quante - Hamburg, Luneburg
11. Validating models in the face of uncertainty. Geotechnical engineering and dike vulnerability in the Netherlands by Matthijs Kouw, Amsterdam
12. Tracing uncertainty management through four IPCC Assessment Reports and beyond by Catharina Landstrom, Oxford
13. The future face of the Earth. The visual semantics of the future in the climate change imagery of the IPCC by Birgit Schneider, Potsdam
14. About the authors
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.