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School of Communication and Culture

Acting with and against Big Data in School and Society: the Big Questions of Big Data

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Acting with and against Big Data in School and Society : the Big Questions of Big Data. / Paulsen, Michael Eric; Tække, Jesper.

2019. 1-30 Paper presented at Fourth International Conference on Communication & Media Studies: , Bonn, Germany.

Research output: Contribution to conference › Paper › Research

Harvard

Paulsen, ME & Tække, J 2019, 'Acting with and against Big Data in School and Society: the Big Questions of Big Data', Paper presented at Fourth International Conference on Communication & Media Studies: , Bonn, Germany, 26/09/2019 - 28/09/2019 pp. 1-30.

APA

Paulsen, M. E., & Tække, J. (2019). Acting with and against Big Data in School and Society: the Big Questions of Big Data. 1-30. Paper presented at Fourth International Conference on Communication & Media Studies: , Bonn, Germany.

CBE

Paulsen ME, Tække J. 2019. Acting with and against Big Data in School and Society: the Big Questions of Big Data. Paper presented at Fourth International Conference on Communication & Media Studies: , Bonn, Germany.

MLA

Paulsen, Michael Eric and Jesper Tække Acting with and against Big Data in School and Society: the Big Questions of Big Data. Fourth International Conference on Communication & Media Studies: , 26 Sept 2019, Bonn, Germany, Paper, 2019. 30 p.

Vancouver

Paulsen ME, Tække J. Acting with and against Big Data in School and Society: the Big Questions of Big Data. 2019. Paper presented at Fourth International Conference on Communication & Media Studies: , Bonn, Germany.

Author

Paulsen, Michael Eric ; Tække, Jesper. / Acting with and against Big Data in School and Society : the Big Questions of Big Data. Paper presented at Fourth International Conference on Communication & Media Studies: , Bonn, Germany.30 p.

Bibtex

@conference{75390e8087c6447fbb58e1c200dabd51,

title = "Acting with and against Big Data in School and Society: the Big Questions of Big Data",

abstract = "In this paper we discuss on a general and mainly theoretical-conceptual level how schools and societies can/should handle and respond to Big Data. We do this by firstly identifying what Big Data is. Based on Levi Bryant{\textquoteright}s onto-cartography (Bryant 2014) we suggest that Big Data ontologically can be characterized as different socio-technical machinic assemblages. These assemblages are different combinations of social systems, the big states and the big companies, and the Big Data technologies on the one hand and the citizens, not least teachers and students, on the other hand. Secondly, we present three different assembling scenarios (i.e. machine-makings): 1) a Chinese model with a Big State in alliance with the new technology (and companies) using it to control citizens and students; 2) an Anglo-American model with Big Companies in alliance with the new technology (and the politicians) using it to nudge citizens and students; 3) an EU model where citizens and students are (at least partially and intentionally) protected by the state from being surveilled, controlled and nudged by new big Cyborgs and also (based on the continental European Bildung tradition) educated to be critical and impowered to cope with Big Data in a democratic, humanistic and emancipatory ways. ",

keywords = "Big Data, Ontology, Democracy, Education, Bildung, Big Data, Ontology, Democracy, Education",

author = "Paulsen, {Michael Eric} and Jesper T{\ae}kke",

note = "write and ask if you want a copy - it is now under review on a journal ; null ; Conference date: 26-09-2019 Through 28-09-2019",

year = "2019",

month = sep,

language = "English",

pages = "1--30",

url = "https://oncommunicationmedia.com/2019-conference",

}

RIS

TY - CONF

T1 - Acting with and against Big Data in School and Society

AU - Paulsen, Michael Eric

AU - Tække, Jesper

N1 - Conference code: 4

PY - 2019/9

Y1 - 2019/9

N2 - In this paper we discuss on a general and mainly theoretical-conceptual level how schools and societies can/should handle and respond to Big Data. We do this by firstly identifying what Big Data is. Based on Levi Bryant’s onto-cartography (Bryant 2014) we suggest that Big Data ontologically can be characterized as different socio-technical machinic assemblages. These assemblages are different combinations of social systems, the big states and the big companies, and the Big Data technologies on the one hand and the citizens, not least teachers and students, on the other hand. Secondly, we present three different assembling scenarios (i.e. machine-makings): 1) a Chinese model with a Big State in alliance with the new technology (and companies) using it to control citizens and students; 2) an Anglo-American model with Big Companies in alliance with the new technology (and the politicians) using it to nudge citizens and students; 3) an EU model where citizens and students are (at least partially and intentionally) protected by the state from being surveilled, controlled and nudged by new big Cyborgs and also (based on the continental European Bildung tradition) educated to be critical and impowered to cope with Big Data in a democratic, humanistic and emancipatory ways.

AB - In this paper we discuss on a general and mainly theoretical-conceptual level how schools and societies can/should handle and respond to Big Data. We do this by firstly identifying what Big Data is. Based on Levi Bryant’s onto-cartography (Bryant 2014) we suggest that Big Data ontologically can be characterized as different socio-technical machinic assemblages. These assemblages are different combinations of social systems, the big states and the big companies, and the Big Data technologies on the one hand and the citizens, not least teachers and students, on the other hand. Secondly, we present three different assembling scenarios (i.e. machine-makings): 1) a Chinese model with a Big State in alliance with the new technology (and companies) using it to control citizens and students; 2) an Anglo-American model with Big Companies in alliance with the new technology (and the politicians) using it to nudge citizens and students; 3) an EU model where citizens and students are (at least partially and intentionally) protected by the state from being surveilled, controlled and nudged by new big Cyborgs and also (based on the continental European Bildung tradition) educated to be critical and impowered to cope with Big Data in a democratic, humanistic and emancipatory ways.

KW - Big Data

KW - Ontology

KW - Democracy

KW - Education

KW - Bildung

KW - Big Data

KW - Ontology

KW - Democracy

KW - Education

M3 - Paper

SP - 1

EP - 30

Y2 - 26 September 2019 through 28 September 2019

ER -