With this new book, Paul Edwards once again writes the history of technology on a grand scale. The more data collected, and the more data is exchanged, the more important it becomes to normalize data for comparison.
With this new book, Paul Edwards once again writes the history of technology on a grand scale. Through his investigation of computational science, international governance, and scientific knowledge production, he shows that the very ability to conceptualize a global climate as such is wrapped up in the history of these institutions and their technological infrastructure. In telling this story, Edwards again makes an original contribution to a crowded field. Normalization requires some form of data model, a theory that makes the data meaningful.
In A Vast Machine Paul Edwards has news for these skeptics: without models . With this new book, Paul Edwards once again writes the history of technology on a grand scale.
In A Vast Machine Paul Edwards has news for these skeptics: without models, there are no data. Today, no collection of signals or observations-even from satellites, which can see the whole planet with a single instrument-becomes global in time and space without passing through a series of data models. Everything we know about the world's climate we know through models. Paul N. Edwards is Professor in the School of Information and the Department of History at the University of Michigan.
Download Citation On Dec 1, 2012, Gabriele Gramelsberger and others published Paul N. Edwards, A Vast Machine . The Effect of World War II on Meteorology. Part III. The Beginning of the Computer Era in Meteorology. John von Neumanns Meteorology Project
The Effect of World War II on Meteorology. John von Neumanns Meteorology Project. The Acceptance of Numerical Meteorology.
A Vast Machine book . Was hoping to see a little more discussion about computational infrastructure, but it certainly felt like I had a good overview of the history of climatology, the gist is sort of two things: data friction (collecting from many instruments, different instruments, historical changes) and computational friction (complex multidimensional analysis) make it hard to analyze and model large & complex systems like global weather or.
The problem of weather prediction, considered from the viewpoints of mechanics and physics (Translated and reprinted in: Meteorologische Zeitschrift, 18, 2009, 1–5), p. oogle Scholar.
Edwards approaches this from the perspective of science and technology studies, with treatment of philosophical and sociological issues and only incidental biographical material. His approach is roughly chronological, describing the historical development of climate science and the earlier disciplines that constituted it, with a focus on atmospheric circulation and global temperatures
A Vast Machine Computer Models Climate Data and the Politics of Global Warming Infrastructures PDF.
A Vast Machine Computer Models Climate Data and the Politics of Global Warming Infrastructures PDF. fredie.
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This is far and away the best book I have read on the infrastructure behind our knowledge of climate change, how that infrastructure developed, and how the infrastructure shapes our understanding.