S3: Economia politică a datelor mari/Political economy of Big Data

InfoTitularTematicaBibliografieEvaluareObiective

Număr de credite: 6
Cod: AME0153
Predare: curs 2h
Limba de predare: engleză
Tip: curs principal, semestrul 3, Masteratul Analiza Datelor Complexe
Erasmus:

Irina Culic
profesor universitar doctor
Facultatea de Sociologie și Asistență Socială
Universitatea Babeş-Bolyai
E-mail: irina.culic@socasis.ubbcluj.ro

Curs

  1. Conceptul de date mari (Big Data) și istoria lor socială. Preistoria datelor mari.
  2. Materialitatea datelor mari. Puncte de colecție: captură, stocare, curățare, acces, investigare, distribuire, împărțire, securizare, transfer.
  3. Analitica datelor și algoritmi. De la conținut și proces cauzal la forme și configurații. Date mari ca analitică predictivă. De la practica cunoașterii la control operațional, sisteme distribuite și dispozitive de piață.
  4. Relația istorică risc personal – automatică – profit comercial – rețele distribuite – tehnologizare. Incertitudinea vieții transformată în cost economic și capitalismul corporat.
  5. Date mari în economie și finanțe. Politica creditelor de consum și a altor instrumente financiare care folosesc date mari.
  6. Date mari în funcționarea statului, guvernare și securitate. Noțiunea de risc și logica subvertită a utilizării datelor persoanelor. Subvertirea noțiunii de cetățenie.
  7. Știință, cunoaștere și date mari. Exemple din medicină, biologie, genetică, geografie.
  8. Date mari și politica persoanei: comerțul pe internet și modelarea algoritmică a prețurior, preferințelor, nevoilor, informațiilor, contextului, conținutului, dorinței. Sisteme de înregistrare și supraveghere.
  9. Cuantificări, evaluări, clasificări: sistemul educațional contemporan și efectul datelor mari asupra sa.
  10. Sisteme distribuite auto-reglementate, algoritmi și puncte difuze de control. Noi forme de business: crowdsourcing; uber; airbnb, google everything.
  11. Viitorul datelor mari și forme ale noului capitalism.

 

Aradau, Claudia. “The Roma in Italy Racism as usual?” Radical Philosophy, 153 (March-April 2009)
Aradau, Claudia and Tobias Blanke. 2015. „The (Big) Data-security assemblage: Knowledge and critique”. Big Data and Society. 2015: 1-12. DOI: 10.1177/2053951715609066
Beck, Ulrich. 1992. Risk Society: Towards a New Modernity. London, UK: Sage.
Beckert, Sven. 2014. Empire of Cotton, a Global History. New York: Knopf Doubleday.
Benkler, Yochai. 2006. The Wealth of Networks: How Social Production Transforms Markets and Freedom. New Haven, CT: Yale University Press.
Bijker, Wiebe, Thomas P. Hughes, and Trevor Pinch, eds. 1987. The Social Construction of Technological Systems: New Directions in the Sociology and History of Technology. Cambridge, MA: MIT Press.
Bouk, Dan. 2015. How Our Days Became Numbered: Risk and the Rise of the Statistical Individual. Chicago: University of Chicago Press.
Burrington, Ingrid. 2016. ‘‘Why Amazon’s Data Centers Are Hidden in Spy Country.’’ The Atlantic. Accessed April 19, 2016. http://www.theatlantic.com/technology/archive/2016/01/amazon-web-services-data-center/423147/.
Callon, Michel, and Bruno Latour. 1981. ‘‘Unscrewing the Big Leviathan: How Actors Macro-structure Reality and How Sociologists Help Them to Do so.’’ In Advances in Social Theory and Methodology, edited by Karin D. Knorr-Cetina and Aaron Cicourel, 277-303. Boston, MA: Routledge & Kegan Paul.
Daston, Lorraine. 1988. Classical Probability in the Enlightenment. Princeton, NJ: Princeton University Press.
De Certeau, Michel. 1988. The Practice of Everyday Life. Berkeley: University of California Press.
Dow Schull, Natasha. 2014. Addiction by Design: Machine Gambling in Las Vegas. Princeton, NJ: Princeton University Press.
Edwards, Paul. 1997. The Closed World. Cambridge, MA: MIT Press.
Ensmenger, Nathan. 2015. The Environmental History of Computing. Albuquerque, NM: SIGIS Workshop.
Federal Trade Commission. 2016. Big Data: A Tool for Inclusion or Exclusion? Washington, DC: Federal Trade Commission.
Foucault, Michel. 2010. The Birth of Biopolitics: Lectures at the Colle`ge de France, 1978-1979. New York: Picador.
Gigerenzer, Gerd, Zeno Swijtink, Theodore Porter, Lorraine Daston, John Beatty, and Lorenz Kruger, eds. 1989. The Empire of Chance: How Probability Changed Science and Everyday Life. New York: Cambridge University Press.
Grosman, Jeremy. 2016. ‘‘What Happens to the Data in ‘Big Data’?’’ FNRS Belgium, Winter School: New Practices of Quantification. Accessed April 19, 2016.
http://www.dasts.dk/wp-content/uploads/2015/12/winter_school_call.pdf.
Hoang, Kimberly Kay. 2015. Dealing in Desire: Asian Ascendancy, Western Decline, and the Hidden Currencies of Global Sex Work. Berkeley: University of California Press.
Hounshell, Eric, and Daniel Midena. 2013. Historicizing Big Data. Berlin, Germany: Max Planck Institute for the History of Science. https://www.mpiwg-berlin.mpg.de/Preprints/P462.PDF.
Howard, Philip N. 2015. Pax Technica: How the Internet of Things May Set us Free or Lock us up. New Haven, CT: Yale University Press.
Hughes, Thomas Parke. 1983. Networks of Power: Electrification in Western Society, 1880-1930. Baltimore, MD: The Johns Hopkins University Press.
Hyman, Louis. 2011. Debtor Nation: The History of America in Red Ink. Princeton, NJ: Princeton University Press.
IBM. 2010. ‘‘University of Ontario Institute of Technology: Levaraging Key Data to Provide Proactive Patient Care.’’ Let’s Build a Smarter Planet.
http://www.ibmbigdatahub.com/sites/default/files/document/ODC03157USEN.PDF.
Illouz, Eva. 2007. Cold Intimacies: The Making of Emotional Capitalism. Malden, MA: Polity.
Jones, Matt. 2014. History of Data, Data in History. New York: Hayman Center for the Humanities, Columbia University.
Koponen, Jarno M. 2014. ‘‘Your Algorithmic Self Meets Super-intelligent AI.’’ Techcrunch.com. http://techcrunch.com/2015/12/14/your-algorithmic-self-meets-super-intelligent-ai/.
Latour, Bruno. 1987b. Science in Action: How to Follow Scientists and Engineers through Society. Cambridge, MA: Harvard University Press.
Latour, Bruno. 1999. ‘‘For David Bloor . . . and Beyond: A Reply to David Bloor’s ‘Anti-Latour.’’’ Studies in the History and Philosophy of Science 30 (1): 113-29.
Latour, Bruno, and Steve Woolgar. (1979) 1986. Laboratory Life: The Construction of Scientific Facts. Princeton, NJ: Princeton University Press.
Lecuyer, Christophe, and David C. Brock. 2010. Makers of the Microchip: A Documentary History of Fairchild Semiconductor. Cambridge, MA: The MIT Press.
Levy, Jonathan. 2012. Freaks of Fortune: The Emerging World of Capitalism and Risk in America. Cambridge, MA: Harvard University Press.
Lewis, Michael. 2010. The Big Short: Inside the Doomsday Machine. New York: W. W. Norton.
MacKenzie, D. 2011. ‘‘The Credit Crisis as a Problem in the Sociology of Knowledge.’’ American Journal of Sociology 116 (6): 1778-841.
Mayer-Schonberger, Victor, and Kenneth Cukier. 2013. Big Data, A Revolution That Will Transform How We Live, Work, and Think. Boston, MA: Houghton Mifflin Harcourt.
Mirowski, Philip, and Esther-Mirjam Sent. 2002. Science Bought and Sold, Essays in the Economics of Science. Chicago: University of Chicago Press.
Noble, David. 1979. America by Design: Science, Technology, and the Rise of Corporate Capitalism. New York: Oxford University Press.
Ott, Julia C. 2011. When Wall Street Met Main Street, The Quest for an Investors’ Democracy. Cambridge, MA: Harvard University Press.
Pasquale, Frank, Caitlin Petre, and Valerie Belair-Gagnon. 2016. Unlocking the Black Box. New Haven, CT: Yale Law School, Information Society Project.
Pickering, Andrew, ed. 1992. Science as Practice and Culture. Chicago: The University of Chicago Press.
Pinch, Trevor J., and Wiebe E. Bijker. 1984. ‘‘The Social Construction of Facts and Artefacts: Or How the Sociology of Science and the Sociology of Technology Might Benefit Each Other.’’ Social Studies of Science 14 (3): 399-441.
Poon, Martha. 2009. ‘‘From New Deal Institutions to Capital Markets: Commercial Consumer Risk Scores and the Making of Subprime Mortgage Finance.’’ Accounting, Organization and Society 34 (5): 654-74.
Poon, Martha. 2014. ‘‘For Financial Certainty, Try Machine Gambling.’’ Journal of Cultural Economy 7 (4): 516-23.
Poon, Martha, and Robert Wosnitzer. 2012. ‘‘Liquidating Corporate America: How Financial Leverage Has Changed the Fundamental Nature of What Is Valuable.’’ Journal of Cultural Economy 5 (2): 247-55.
Popp Berman, Elizabeth. 2012. Creating the Market University: How Academic Science Became an Economic Engine. Princeton, NJ: Princeton University Press.
Porter, Theodore. 1988. The Rise of Statistical Thinking: 1820-1900. Princeton, NJ: Princeton University Press.
Porter, Theodore. 1995. Trust in Numbers: The Pursuit of Objectivity in Science and Public Life. Princeton, NJ: Princeton University Press.
Reardon, Jenny. 2013. ‘‘On the Emergence of Science and Justice.’’ Science, Technology,
& Human Values 38 (2): 176-200.
Riordan, Michael, and Lillian Hoddeson. 1998. Crystal Fire: The Birth of the Information Age. New York: W. W. Norton.
Russell Hochschild, Arlie. 1985. The Managed Heart: Commercialization of Human Feeling. Berkeley: University of California Press.
Sandage, Scott A. 2005. Born Losers: A History of Failure in America. Cambridge, MA: Harvard University Press.
Schuessler, Jennifer. 2013. ‘‘In History Departments, It’s Up with Capitalism.’’ New York Times, April 7, 2013, p. A1.
Shein, Esther. 2012. ‘‘Data Analytics Driving Medical Breakthroughs, Big Data Saves Lives.’’ Computerworld. http://www.computerworld.com/article/2502520/healthcare-it/data-analytics-driving-medical-breakthroughs.html?page¼4.
Jacob Silverman. 2014. „The Crowdsourcing Scam. Why do you deceive yourself?”. The Baffler 26. http://thebaffler.com/salvos/crowdsourcing-scam
Soderberg, Johan. 2008. Hacking Capitalism: The Free and Open Software Movement. New York: Routledge.
Tett, Gillian. 2009. Fool’s Gold: How the Bold Dream of a Small Tribe at J.P. Morgan Was Corrupted by Wall Street Greed and Unleashed a Catastrophe. New York: Free Press.
Thompson, Morton. 1949. The Cry and the Covenant. Garden City, NY: Doubleday. Valentino-DeVries, Jennifer, Jeremy Singer-Vine, and Ashkan Soltani. 2012.
‘‘Websites Vary Prices, Deals Based on Users’ Information.’’ The Wall Street Journal.. http://www.wsj.com/articles/SB10001424127887323777204578189391813881534.
Yates, JoAnne. 1989. Control through Communication: The Rise of System in American Management. Baltimore, MD: Johns Hopkins University Press.
Yates, JoAnne. 2005. Structuring the Information Age: Life Insurance and Technology in the Twentieth Century. Baltimore, MD: Johns Hopkins University Press.
Zelizer, Viviana A. 1994. The Social Meaning of Money: Pin Money, Paychecks, Poor Relief & Other Currencies. New York: Basic Books.
Zittrain, Jonathan. 2009. The Future of the Internet–And How to Stop It. New Haven, CT: Yale University Press.
Zuboff, Shoshana. 2016. ‘‘Google as a Fortune Teller: The Secrets of Surveillance Capitalism.’’ F.A.Z. Feuilleton. Accessed May 4, 2016. http://www.faz.net/aktuell/feuilleton/debatten/the-digital-debate/shoshana-zuboff-secrets-of-surveillance-capitalism-14103616.html

CURS:

 

Metode de evaluare

  • 50% – 50 %  2 teste bibliografice și critice scrise în clasă

Criterii de evaluare:

  • Însușirea noțiunilor și parcurgerea lecturilor obligatorii, argumentație logică și coerență în exprimare, precizie în redare și interpretarea datelor de toate felurile asociate cu big data.

Obiective generale

  • La finalul cursului studenții vor avea o înțelegere complexă a modului în care datele mari structurează și organizează procesele sociale contemporane.

Obiective specifice

  • Studenții vor fi capabili să identifice modul de colecție, stocare și utilizare a datelor mari în diferite domenii ale vieții contemporane cum sunt educația, statul-securitatea-relațiile internaționale-cetățenia, domeniul economic-finanțe-bănci-credit de consum, spațiul virtual și rețelele auto-generate de cooperare.