Assessment of error and uncertainty is a vital component of both natural and social science. This edited volume presents case studies of research practices across a wide spectrum of scientific fields. It compares methodologies and presents the ingredients needed for an overarching framework applicable to all.
Assessment of error and uncertainty is a vital component of both natural and social science. This edited volume presents case studies of research practices across a wide spectrum of scientific fields. It compares methodologies and presents the ingredients needed for an overarching framework applicable to all.
>Giora Hon, Professor of History and Philosophy of Science at the University of Haifa, Israel, published widely on the concept of error in science and philosophy. His edited book with Jutta Schickore and Friedrich Steinle, Going Amiss in Experimental Research, appeared in 2009 (Springer). For his recent work (with Bernard R. Goldstein) on modelling, see 'Maxwell's Contrived Analogy: An Early Version of the Methodology of Modeling', Studies in History and Philosophy of Modern Physics, 43 (2012), pp. 236-57., >Arthur C. Petersen is Chief Scientist at the PBL Netherlands Environmental Assessment Agency, Professor of Science and Environmental Public Policy at the VU University Amsterdam, Visiting Professor at the London School of Economics and University College London, and Research Affiliate at MIT. He studied physics and philosophy, obtained PhD degrees in atmospheric sciences and philosophy of science, and now also finds disciplinary homes in sociology and political science. Most of his research is about managing uncertainty.
Inhaltsangabe
Introduction Marcel Boumans Giora Hon; Chapter 1 The Lack of a Satisfactory Conceptualization of the Notion of Error in the Historiography of Science: Two Main Approaches and Their Shortcomings Bart Karstens; Chapter 2 Experimental Knowledge in the Face of Theoretical Error Kent W. Staley; Chapter 3 Learning from Error: How Experiment Gets a Life (Of Its Own) Deborah G. Mayo; Chapter 4 Modelling Measurement: Error and Uncertainty Luca Mari Alessandro Giordani; Chapter 5 Handling Uncertainty in Environmental Models at the Science-Policy-Society Interfaces M. Bruce Beck; Chapter 6 Variations on Reliability: Connecting Climate Predictions to Climate Policy Leonard A. Smith Arthur C. Petersen; Chapter 7 Order and Indeterminism: An Info-Gap Perspective Yakov Ben-Haim; Chapter 8 Learning from Data: The Role of Error in Statistical Modelling and Inference Aris Spanos;
Introduction Marcel Boumans Giora Hon; Chapter 1 The Lack of a Satisfactory Conceptualization of the Notion of Error in the Historiography of Science: Two Main Approaches and Their Shortcomings Bart Karstens; Chapter 2 Experimental Knowledge in the Face of Theoretical Error Kent W. Staley; Chapter 3 Learning from Error: How Experiment Gets a Life (Of Its Own) Deborah G. Mayo; Chapter 4 Modelling Measurement: Error and Uncertainty Luca Mari Alessandro Giordani; Chapter 5 Handling Uncertainty in Environmental Models at the Science-Policy-Society Interfaces M. Bruce Beck; Chapter 6 Variations on Reliability: Connecting Climate Predictions to Climate Policy Leonard A. Smith Arthur C. Petersen; Chapter 7 Order and Indeterminism: An Info-Gap Perspective Yakov Ben-Haim; Chapter 8 Learning from Data: The Role of Error in Statistical Modelling and Inference Aris Spanos;
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