Difference between revisions of "Adrian Mackenzie"
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| − | Adrian Mackenzie ( | + | '''Adrian Mackenzie''' (Professor in Technological Cultures, Sociology Department, Lancaster University) researches in the area of technology, science and culture. He is currently working on the circulation of data intensive methods across science, government, and business in network media, exploring how number, quality, space and feeling are re-configured through predictions and anticipations of change (''Into the Data: An Archaeology of Machine Learning'', MIT Press, 2017). He co-directs the Centre for Science Studies, Lancaster University. |
| − | * http:// | + | ; Monographs |
| + | * ''[http://monoskop.org/log/?p=9613 Transductions: Bodies and Machines at Speed, Technologies, Studies in Culture & Theory]'', London: Continuum, 2002, [http://aaaaarg.fail/thing/5ac785fd9ff37c7bdc622bcb ARG]. | ||
| + | * ''[http://monoskop.org/log/?p=382 Cutting Code: Software and Sociality]'', New York: Peter Lang, 2006. | ||
| + | * ''[http://monoskop.org/log/?p=3119 Wirelessness: Radical Empiricism in Network Cultures]'', MIT Press, 2010. | ||
| + | * ''Machine Learners: Archaeology of a Data Practice'', MIT Press, 2017, 272 pp. [https://github.com/datapractice/machinelearners Draft]. [https://mitpress.mit.edu/books/machine-learners] | ||
| − | [[ | + | ; Links |
| − | [[Category: | + | * [http://www.lancaster.ac.uk/fass/sociology/profiles/adrian-mackenzie Profile at U Lancaster] |
| − | [[Category:Software studies | + | * [https://twitter.com/rian2011ad Twitter] |
| + | * [http://aaaaarg.fail/maker/5310647b334fe071e0b90835 ARG] | ||
| + | |||
| + | [[Category:Writers]] [[Category:Software studies]] {{DEFAULTSORT:Mackenzie, Adrian}} | ||
Revision as of 11:22, 24 April 2018
Adrian Mackenzie (Professor in Technological Cultures, Sociology Department, Lancaster University) researches in the area of technology, science and culture. He is currently working on the circulation of data intensive methods across science, government, and business in network media, exploring how number, quality, space and feeling are re-configured through predictions and anticipations of change (Into the Data: An Archaeology of Machine Learning, MIT Press, 2017). He co-directs the Centre for Science Studies, Lancaster University.
- Monographs
- Transductions: Bodies and Machines at Speed, Technologies, Studies in Culture & Theory, London: Continuum, 2002, ARG.
- Cutting Code: Software and Sociality, New York: Peter Lang, 2006.
- Wirelessness: Radical Empiricism in Network Cultures, MIT Press, 2010.
- Machine Learners: Archaeology of a Data Practice, MIT Press, 2017, 272 pp. Draft. [1]
- Links
