Data and the City
by Rob Kitchin,Tracey P. Lauriault,Gavin McArdle · 2 Aug 2017
Geography 31: 1–14. Dodge, M., Kitchin, K. and Zook, M. (2009) ‘How does software make space? Exploring some geographical dimensions of pervasive computing and software studies’, Environment and Planning A 41: 1283–1293. Donaldson, D.R. and Fear, K. (2011) ‘Provenance, end-user trust and reuse: an empirical investigation’, Proceedings of
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) ‘Topologies: Michel Serres and the shapes of thought’, Anglistik 15(1): 105–117. Fuller, M. (2008) ‘Introduction: The stuff of software’, in M. Fuller (ed.), Software Studies: A Lexicon. Cambridge, MA: MIT Press. Gordon, E. and de Souza e Silva, A. (2011) Net Locality: Why Location Matters in a Networked World. Chichester
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, presentations; news reports, clippings, videos, etc.; academic literature, theoretical, critical, pragmatic and methodological related to Object OP, OOD, software and database vendors, other implementations, standard, software studies, etc. Most data collection work took place on site at the OSI between March and April 2015. The OSi arranged private office space and full
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180 T. P. Lauriault Digital socio-technical assemblage Critical Social Science Science Technology Studies New media studies Game studies HCI, Remediation studies Critical code studies Software studies Surveillance studies Critical data studies Platform studies System/process performs a task Context frames the system/task Reception/operation (user/usage) Forms of knowledge Interface
Dreaming in Code: Two Dozen Programmers, Three Years, 4,732 Bugs, and One Quest for Transcendent Software
by Scott Rosenberg · 2 Jan 2006 · 394pp · 118,929 words
stuff more than we hate it. So we dream of new and better things. The expert who in many ways founded the modern field of software studies, Frederick P. Brooks, Jr., wrote an influential essay in 1987 titled “No Silver Bullet,” declaring that, however frustrated we may be with the writing of
What Algorithms Want: Imagination in the Age of Computing
by Ed Finn · 10 Mar 2017 · 285pp · 86,853 words
worshippers or, worse, their pets. Notes 1. For a rich history on the figure of the shaman, see Eliade, Shamanism. 2. Levy, Hackers. 3. Chun, Software Studies, 175. 4. Turner, From Counterculture to Cyberculture. 5. Kay et al., The World Color Survey; Berlin and Kay, Basic Color Terms; Loreto, Mukherjee, and Tria
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apparatus of Facebook itself. In this way algorithmic reading draws from the multiple critical forerunners we have already considered here—cybernetics, cultural studies, platform and software studies, media theory, and digital materiality. We are just beginning to work out how to pull these different perspectives together to ask questions about the ethics
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assemblages can do extraordinary, beautiful things. Notes 1. Wiener, “Men, Machines and the World About.” 2. Lewis, Flash Boys, 114. 3. Williams, Keywords. 4. Chun, Software Studies. 5. Knuth, “Ancient Babylonian Algorithms.” 6. Ensmenger, History of Computing, 131. 7. Ibid., 132. 8. Moschovakis, “What Is an Algorithm?,” n. 1. 9. Sedgewick, “Computer
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the division between organism and environment. Rid, Rise of the Machines, 53-63. 43. Ibid., 68–69. 44. Chun, Software Studies, 2. 45. Ibid. 46. Weizenbaum, Computer Power and Human Reason, 255. 47. Chun, Software Studies, 53. 48. Berlinski, The Advent of the Algorithm, 305. 49. Plato, Symposium. 50. Sparrow, Liu, and Wegner, “Google
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Is Transforming the Economy. New Haven: Yale University Press, 2014. http://www.myilibrary.com/?ID=614046. Chun, Wendy Hui Kyong. Programmed Visions: Software and Memory. Software Studies. Cambridge, Mass.: MIT Press, 2011. http://site.ebrary.com/lib/alltitles/docDetail.action?docID=10496266. Ciancutti, John. “Does Netflix Add Content Based on Your Searches
Coding Freedom: The Ethics and Aesthetics of Hacking
by E. Gabriella Coleman · 25 Nov 2012 · 398pp · 107,788 words
Personal Computer. New York: McGraw-Hill. Friedman, Ted. 2005. Electric Dreams: Computers in American Culture. New York: New York University Press. Fuller, Matthew, ed. 2008. Software Studies: A Lexicon. Cambridge, MA: MIT Press. Fuster Morell, Mayo. 2010. Governance of Online Creation Communities. Provision of Infrastructure for the Building of Digital Commons. PhD
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: Anchor Books. Good, Byron J. 1994. Medicine, Rationality, and Experience: An Anthropological Perspective. Cambridge: Cambridge University Press. Goriunova, Olga and Shulgin, Alexei. 2008. Glitch. In Software Studies: A Lexicon, ed. Matthew Fuller, 110–19. Cambridge, MA: MIT Press. Graeber, David. 1997. Manners, Deference, and Private Property in Early Modern Europe. Comparative Studies
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. Ghost in the Wires: My Adventures as the World’s Most Wanted Hacker. New York: Little, Brown and Company. Monfort, Nick. 2008. Obfuscated Code. In Software Studies: A Lexicon, ed. Matthew Fuller, 193–99. Cambridge, MA: MIT Press. Moody, Glyn. 1997 The Greatest OS that (N)ever Was. Wired August. Available at
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, Barbara. 1989. Inventing Law in Local Settings: Rethinking Popular Legal Culture. Yale Law Journal 98 (8): 1689–1709. Yuill, Simon. 2008. Concurrent Versions Systems. In Software Studies: A Lexicon, ed. Matthew Fuller, 64–69. Cambridge, MA: MIT Press. Zandbergen, Dorien. 2010. Silicon Valley New Age: The Co-Constitution of the Digital and
The Stack: On Software and Sovereignty
by Benjamin H. Bratton · 19 Feb 2016 · 903pp · 235,753 words
, Lev Manovich, and Noah Wardrip-Fruin, editors Expressive Processing: Digital Fictions, Computer Games, and Software Studies, Noah Wardrip-Fruin, 2009 Code/Space: Software and Everyday Life, Rob Kitchin and Martin Dodge, 2011 Programmed Visions: Software and Memory, Wendy Hui Kyong Chun,
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implicit culture of software, and they also can take part in the development of an emerging, fundamentally transdisciplinary, computational literacy. These provide the foundation for software studies. Software Studies uses and develops cultural, theoretical, and practice-oriented approaches to make critical, historical, and experimental accounts of (and interventions via) the objects and processes of
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into the processes of contemporary culture and society, reformulating processes, ideas, institutions, and cultural objects around their closeness to algorithmic and formal description and action. Software studies proposes histories of computational cultures and works with the intellectual resources of computing to develop reflexive thinking about its entanglements and possibilities. It does this
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in the scholarly modes of the humanities and social sciences and in the software creation/research modes of computer science, the arts, and design. The Software Studies book series, published by the MIT Press, aims to publish the best new work in a critical and experimental field that is at once culturally
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both technical and theoretical. It is unapologetically interdisciplinary in its perspective and its project; it is a work of political philosophy, and architectural theory, and software studies, and even science fiction. It draws links between technologies, places, processes, and cultures that may exist at different scales but which are also deeply interrelated
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Adrain Vermeule, “Conspiracy Theories,” Coase-Sandor Working Papers in Law and Economics, University of Chicago Law School, 2008. Keller and I discussed how, in some Software Studies circles, people compare Google AdWords to the Stasi with a straight face. We discussed how conspiracy theory politics mirrors the absent User, except that here
Speaking Code: Coding as Aesthetic and Political Expression
by Geoff Cox and Alex McLean · 9 Nov 2012
Fuller, Lev Manovich, and Noah Wardrip-Fruin, editors Expressive Processing: Digital Fictions, Computer Games, and Software Studies, Noah Wardrip-Fruin, 2009 Code/Space: Software and Everyday Life, Rob Kitchin and Martin Dodge, 2011 Programmed Visions: Software and Memory, Wendy Hui Kyong Chun,
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Cox, Geoff. Speaking code : coding as aesthetic and political expression / text [by] Geoff Cox, code [by] Alex McLean, foreword by Franco “Bifo” Berardi. p. cm.—(Software studies) Includes bibliographical references and index. ISBN 978-0-262-01836-4 (hardcover : alk. paper) 1. Source code (Computer science)—Philosophy. 2. Programming languages (Electronic computers
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implicit culture of software, and they also can take part in the development of an emerging, fundamentally transdisciplinary, computational literacy. These provide the foundation for Software Studies. Software Studies uses and develops cultural, theoretical, and practice-oriented approaches to make critical, historical, and experimental accounts of (and interventions via) the objects and processes of
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into the processes of contemporary culture and society, reformulating processes, ideas, institutions, and cultural objects around their closeness to algorithmic and formal description and action. Software Studies proposes histories of computational cultures and works with the intellectual resources of computing to develop reflexive thinking about its entanglements and possibilities. It does this
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in the scholarly modes of the humanities and social sciences and in the software creation/research modes of computer science, the arts, and design. The Software Studies book series, published by the MIT Press, aims to publish the best new work in a critical and experimental field that is at once culturally
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interweave through the chapters, formulating arguments that aim to undermine the distinctions between criticism and practice, and that emphasize the aesthetic and political implications of software studies. A collaborative process lies at the heart of this, one that oscillates between expressive and formal conventions of writing. All the same, one can broadly
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roots through “codicilla” (tablets used for inscribing letter forms) and “codex” (the bound book of the law), as Kittler explains in his entry to the Software Studies lexicon.10 For Kittler, the references establish how code can be understood through the twin operations of command and control.11 But in addition, Double
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by repression or violence, function through ideology and do so more covertly, such that people respond willingly. 10. Friedrich Kittler, “Code,” in Matthew Fuller, ed., Software Studies: A Lexicon (Cambridge, MA: MIT Press, 2008). 11. Ibid., 41. More specifically, this is what Kittler refers to as the US Pentagon’s imperial motto
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, 2001); available at http://docstore.mik.ua/orelly/perl/prog3/ch27_02.htm. Also see Geoff Cox and Adrian Ward, “Perl,” in Matthew Fuller, ed., Software Studies: A Lexicon (Cambridge, MA: MIT Press, 2008). 29. Hayles, Writing Machines, 107. 30. N. Katherine Hayles, My Mother Was a Computer (Chicago: University of Chicago
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/Volume22/Issue6/sondheim.pdf. 3. Félix Guattari, Chaosophy, ed. Sylvère Lotringer (New York: Semiotext(e), 1995). 4. Graham Harwood, “Class Library,” in Matthew Fuller, ed., Software Studies: A Lexicon (Cambridge, MA: MIT Press, 2008), 37–39. 5. The concept of “general intellect,” drawn from Marx’s early writing, is a key one
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Culture of Software. New York: Autonomedia, 2003. Fuller, Matthew. Media Ecologies: Materialist Energies in Art and Technoculture. Cambridge, MA: MIT Press, 2005. Fuller, Matthew, ed. Software Studies: A Lexicon. Cambridge, MA: MIT Press, 2008. Galloway, Alexander R. Protocol: How Control Exists after Decentralization. Cambridge, MA: MIT Press, 2004. Galloway, Alexander R., and
The End of Ownership: Personal Property in the Digital Economy
by Aaron Perzanowski and Jason Schultz · 4 Nov 2016 · 374pp · 97,288 words
. The free software movement is one notable exception. Developers of free software are committed to the idea that all users should be free to run software, study it, modify it, and redistribute it. Those core beliefs are reflected in free software licenses like the GNU General Public License, or GPL. Examples of
Overcomplicated: Technology at the Limits of Comprehension
by Samuel Arbesman · 18 Jul 2016 · 222pp · 53,317 words
, 124. The bug is a window: A glitch is “a possibility to glance at software’s inner structure.” Olga Goriunova and Alexei Shulgin, “Glitch,” in Software Studies: A Lexicon, ed. Matthew Fuller, 110–19 (Cambridge, MA: The MIT Press, 2008), 114. Errors and bugs as a window into improving a system is
Racing the Beam: The Atari Video Computer System
by Nick Montfort and Ian Bogost · 9 Jan 2009
sense to think about a psychoanalysis/ludology debate or a remediation/narratology debate. Code is a level where explorations are still only beginning. Code studies, software studies, and code aesthetics are not yet widespread, but they are becoming known concepts. With both the Ars Electronica festival and, more recently, the Society for
The Costs of Connection: How Data Is Colonizing Human Life and Appropriating It for Capitalism
by Nick Couldry and Ulises A. Mejias · 19 Aug 2019 · 458pp · 116,832 words
Rasa, Bogotá-Colombia, 24L (2016): 123–43. Grosser, Benjamin. “What Do Metrics Want? How Quantification Prescribes Social Interaction on Facebook.” Computational Culture: A Journal of Software Studies 4 (2014). http://computationalculture.net/what-do-metrics-want/. Gurumurthy, Anita. “Big Brother Getting Bigger? The Privacy Issues Surrounding Aadhaar Are Worrying.” First Post, April
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& Society 2, no. 2 (2016): 39–54. . “What Is in PageRank? A Historical and Conceptual Investigation of Recursive Status Index.” Computational Culture: A Journal of Software Studies, no. 6 (2012): 1–28. http://computationalculture.net/article/what_is_in_pagerank. Rieder, Bernhard, and Theo Röhle. “Digital Methods: From Challenges to Bildung.” In
Raw Data Is an Oxymoron
by Lisa Gitelman · 25 Jan 2013
We Are Data: Algorithms and the Making of Our Digital Selves
by John Cheney-Lippold · 1 May 2017 · 420pp · 100,811 words
The Digital Party: Political Organisation and Online Democracy
by Paolo Gerbaudo · 19 Jul 2018 · 302pp · 84,881 words
Intertwingled: The Work and Influence of Ted Nelson (History of Computing)
by Douglas R. Dechow · 2 Jul 2015 · 223pp · 52,808 words
Power Button: A History of Pleasure, Panic, and the Politics of Pushing
by Rachel Plotnick · 24 Sep 2018 · 359pp · 105,248 words