2016

Listagem dos principais referenciais e papers sobre Governança Algorítmica e o Setor Público para o ano 2016.

Principais referenciais e papers acadêmicos

ANANNY, M., & CRAWFORD, K. (2018). Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability. New Media & Society, 20(3), 973–989. https://doi.org/10.1177/1461444816676645

ANANNY, M. (2016). Toward an Ethics of Algorithms: Convening, Observation, Probability, and Timeliness. Science Technology and Human Values, 41(1), 93–117

ARNOLDI, Jakob. Computer algorithms, market manipulation and the institutionalization of high frequency trading. Theory, Culture & Society, v. 33, n. 1, p. 29-52, 2016.

ASH, J., KITCHIN, R., & LESZCZYNSKI, A. (2018). Digital turn, digital geographies? Progress in Human Geography, 42(1), 25–43. https://doi.org/10.1177/0309132516664800

BAROCAS, Solon; SELBST, Andrew D. Big data's disparate impact. Cal. L. Rev., v. 104, p. 671, 2016.

BELLANOVA, Rocco (2016) Digital, politics, and algorithms: Governing digital data through the lens of data protection, European Journal of Social Theory. DOI: 10.1177/1368431016679167: 1–19.

BILIC, Paško, Search algorithms, hidden labour and information control. Big Data & Society, 2016. DOI: https://doi.org/10.1177/2053951716652159.

BURRELL, Jenna. How the machine ‘thinks’: Understanding opacity in machine learning algorithms. Big Data & Society, v. 3, n. 1, p. 2053951715622512, 2016.

CRAWFORD, Kate. Can an algorithm be agonistic? Ten scenes from life in calculated publics. Science, Technology, & Human Values, v. 41, n. 1, p. 77-92, 2016.

DANAHER, John. The threat of algocracy: Reality, resistance and accommodation. Philosophy & Technology, v. 29, n. 3, p. 245-268, 2016. https://link.springer.com/content/pdf/10.1007%2Fs13347-015-0211-1.pdf

DIAKOPOULOS, N. Accountability in Algorithmic Decision Making. Communications of the ACM (CACM). Feb. 2016.

DIAKOPOULOS, N. and KOLISKA, M. Algorithmic Transparency in the News Media. Digital Journalism. 2016.

DONEDA, D.; ALMEIDA, V. A. F. What Is Algorithm Governance? IEEE Internet Computing, v. 20, n. 4, p. 60-63, jul.-ago. 2016.

DÖRR, Konstantin Nicholas. Mapping the field of algorithmic journalism. Digital journalism, 2016.

D. Trielli, S. MUSSENDEN, J. STARK, N. DIAKOPOULOS. Googling Politics: How the Google issue guide on candidates is biased. Slate. June, 2016.

GILLESPIE, Tarleton; SEAVER, Nick. Critical algorithm studies: A reading list. Social Media Collective, 2016.

GOODMAN, Bryce; FLAXMAN, Seth. European Union regulations on algorithmic decision-making and a" right to explanation". arXiv preprint arXiv:1606.08813, 2016.

INTRONA, Lucas D. Algorithms, governance, and governmentality: On governing academic writing. Science, Technology, & Human Values, v. 41, n. 1, p. 17-49, 2016.

INTRONA, Lucas D. (2016), The algorithmic choreography of the impressionable subject. in Seyfert, R.; Roberge j. (eds), Algorithmic Cultures: essays on meaning, performance and new technologies. Oxford: Routledge, pp. 26-51. (Routledge Advances in Sociology)

JANSSEN, Marijn; KUK, George. The challenges and limits of big data algorithms in technocratic governance. 2016.

J. Stark and N. DIAKOPOULOS. Uber seems to offer better service in areas with more white people. That raises some tough questions. Washington Post. March, 2016.

JUST, N., & Latzer, M. (2017). Governance by algorithms: reality construction by algorithmic selection on the Internet. Media, Culture & Society, 39(2), 238–258. https://doi.org/10.1177/0163443716643157

KAUFMANN, M., & JEANDESBOZ, J. (2017). Politics and ‘the digital’: From singularity to specificity. European Journal of Social Theory, 20(3), 309–328. https://doi.org/10.1177/1368431016677976

KITCHIN, R.; McARDLE G. What makes Big Data, Big Data? Exploring the ontological characteristics of 26 datasets. Big Data and Society. Epub ahead of print 2016. DOI: 10.1177/2053951716631130.

LESZCZYNSKI, A. (2016). Speculative futures: Cities, data, and governance beyond smart urbanism. Environment and Planning A: Economy and Space, 48(9), 1691–1708. https://doi.org/10.1177/0308518X16651445

LI, Shaoyong ; XIAO, Xingda; CAI, Ying; MA, Bingshan; HOU, Caiqin; HAN, Xilian. (2016). An algorithm to evaluate implementation cost for liveness-enforcing supervisors designed by deadlock prevention policy. Advances in Mechanical Engineering. 8. 10.1177/1687814016658388.

MANTELLO, P. (2016). The machine that ate bad people: The ontopolitics of the precrime assemblage. Big Data & Society. https://doi.org/10.1177/2053951716682538

MCQUILLAN, D. (2016). Algorithmic paranoia and the convivial alternative. Big Data & Society. https://doi.org/10.1177/2053951716671340

MERGEL, Ines; RETHEMEYER, R. Karl; ISETT, Kimberley. Big data in public affairs. Public Administration Review, v. 76, n. 6, p. 928-937, 2016.

MITTELSTADT, B.; FLORIDI, L. The ethics of Big Data: Current and foreseeable issues in biomedical contexts. Science and Engineering Ethics 22(2): 303–341, 2016.

MITTELSTADT, B. D., ALLO, P., TADDEO, M., WACHTER, S., & FLORIDI, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society. https://doi.org/10.1177/2053951716679679

NEYLAND D., MÖLLERS N.. Algorithmic IF … THEN rules and the conditions and consequences of power. Information, Communication & Society, 2016.

O'NEIL, Cathy. Weapons of math destruction: How big data increases inequality and threatens democracy. Broadway Books, 2016.

REED, Laura; BOYD, Danah. Who Controls the Public Sphere in an Era of Algorithms?. 2016. New York: Data & Society, 2016.

REZAEI, Zadeh M., Hogan M., O’Reilly J., MURPHY, E. (2016). Core entrepreneurial competencies and their interdependencies: Insights from a study of Irish and Iranian entrepreneurs, university students and academics. International Entrepreneurship and Management Journal 13(1): 1–39.

ROUVROY, Antoinette; STIEGLER, Bernard. The digital regime of truth: From the algorithmic governmentality to a new rule of law. La Deleuziana: Online Journal of Philosophy, v. 3, p. 6-29, 2016. http://www.ladeleuziana.org/wp-content/uploads/2016/12/Rouvroy-Stiegler_eng.pdf

SCHROCK, A. R. (2016). Civic hacking as data activism and advocacy: A history from publicity to open government data. New Media & Society, 18(4), 581–599. https://doi.org/10.1177/1461444816629469

VELKOVA, J. (2016). Data that warms: Waste heat, infrastructural convergence and the computation traffic commodity. Big Data & Society. https://doi.org/10.1177/2053951716684144

WAGNER, Ben. Algorithmic regulation and the global default: Shifting norms in Internet technology. Etikk i praksis-Nordic Journal of Applied Ethics, v. 10, n. 1, p. 5-13, 2016.

ZARSKY, T. The trouble with algorithmic decisions: An analytic road map to examine efficiency and fairness in automated and opaque decision making. Science, Technology, & Human Values, v. 41, n. 1, p. 118–132, 2016.

ZIEWITZ, Malte. Governing algorithms: Myth, mess, and methods. Science, Technology, & Human Values, v. 41, n. 1, p. 3-16, 2016.