Programming subjects in the regime of anticipation: Software studies and subjectivity
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It has been argued that we increasingly live in a regime of anticipation in which likelihoods and probabilistic outcomes prevail. Many settings, ranging across finance, social media, biomedical science and military planning, rely on a semi-automated form of statistics – sometimes called ‘machine learning’ – to generate the predictions on which anticipation relies. Anticipation takes hold as these settings incorporate predictivity focused on the attributes of populations and individuals. What kinds of subjects live in the regime of anticipation? Shifts in predictive practice directly index the re-shaping of subjectivity in anticipation. Exploring the use of machine learning in social media, this article examines predictive practice of anticipation. It shows how software developers and programmers not only become agents of anticipation, but also internalise regimes of anticipation through technical practices. Shifts in programming practice hint at what it is like to be an agent of anticipation.
Keywordsanticipation optimism prediction programming machine learning
- Adams, V., Murphy, M. and Clarke, A.E. (2009) Anticipation: Technoscience, life, affect, temporality. Subjectivity, 28, 246–265, http://www.palgrave-journals.com/doifinder/10.1057/sub.2009.18, accessed 16 September 2009.
- Bacon (2012) Hilary Mason – Machine learning for hackers. http://vimeo.com/43547079, accessed 6 July 2012.
- Barrett, V. (2012) 30 Under 30 – Technology – Forbes. http://www.forbes.com/special-report/2011/30-under30-12/30-under-30-12_technology.html, accessed 22 January 2013.
- Berlant, L. (2007) Nearly Utopian, nearly normal: Post-Fordist affect in La Promesse and Rosetta. Public Culture, 19, 273, http://lucian.uchicago.edu/blogs/politicalfeeling/files/2007/10/berlant-la-promesse.pdf, accessed 9 July 2012.
- CNN (2011) 40 Under 40: Ones to watch. http://money.cnn.com/galleries/2011/news/companies/1110/gallery.40_under_40_ones_to_watch.fortune/, accessed 22 January 2013.
- CRAN (2010) The comprehensive R Archive Network. http://www.stats.bris.ac.uk/R/, accessed 5 May 2010.
- Desrosieres, A. (1998) The Politics of Large Numbers: A History of Statistical Reasoning. Cambridge, MA: Harvard University Press.Google Scholar
- Efron, B., Hastie, T. and Johnstone, I. (2004) Least angle regression. The Annals of Statistics, 32, 407–451, http://www.jstor.org/stable/3448465, accessed 18 November 2010.
- Fuller, M. (2007) Software Studies: A Lexicon. Cambridge, MA: MIT Press.Google Scholar
- Galloway, A.R. (2004) Protocol: How Control Exists after Decentralization. Cambridge, MA: MIT Press.Google Scholar
- Google (2012) Google code jam. http://code.google.com/codejam/, accessed 26 July 2012.
- Impact, P. (2009) Predictive analytics world conference: Agenda. http://www.predictiveanalyticsworld.com/sanfrancisco/2009/agenda.php#usergroup, accessed 24 May 2011.
- Kaggle (2011a) Dave Slate on Winning the R Challenge\textbar No Free Hunch. http://blog.kaggle.com/2011/02/15/dave-slate-on-winning-the-r-challenge/, accessed 5 July 2012.
- Kaggle (2011b) Description – R Package Recommendation Engine – Kaggle, http://www.kaggle.com/c/R, accessed 24 May 2011.
- Kaggle (2011c) How I did it: Ming-Hen Tsai on finishing third in the R competition\textbar No Free Hunch. http://blog.kaggle.com/2011/02/11/how-i-did-it-ming-hen-tsai-on-finishing-third-in-the-r-competition/, accessed 5 July 2012.
- Kaggle Inc. (2012) Description – Facebook Recruiting Competition – Kaggle, http://www.kaggle.com/c/FacebookRecruiting, accessed 5 July 2012.
- Mackenzie, A. (2006) Cutting Code: Software and Sociality. Digital Formations. New York: Peter Lang.Google Scholar
- Mackenzie, A. and Vurdubakis, T. (2011) Codes and codings in crisis. Theory, culture & society, 28, 3–23, http://tcs.sagepub.com/content/28/6/3.abstract, accessed 9 December 2011.
- Mason, H. (2011) I’m in Glamour Magazine! http://www.hilarymason.com/media_and_press/im-in-glamour-magazine/, accessed 22 January 2013.
- Muenchen, R. (2011) Popularity – r4stats.com. http://sites.google.com/site/r4statistics/popularity, accessed 24 May 2011.
- Peirce, C.S. (1998) The Essential Peirce – Volume 2: Selected Philosophical Writings: (1893−1913). Vol. 2. Bloomington: Indiana University Press.Google Scholar
- Stigler, S.M. (1986) The History of Statistics: The Measurement of Uncertainty Before 1900. Cambridge, MA: Harvard University Press.Google Scholar
- Team, R.D.C. (2010) The R Project for Statistical Computing. http://www.r-project.org/, accessed 11 June 2010.
- Thrift, N.J. (2005) Knowing Capitalism. London: SAGE Publications.Google Scholar
- TopCoder Inc. (2012) TopCoder, Inc. Home of the world’s largest development community, http://www.topcoder.com/, accessed 5 July 2012.