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  • Kerasidou, Buscher, Petersen- Intersecting Intelligence-post-print

    Rights statement: This is an Accepted Manuscript of a book chapter published by Routledge in Big Data, Surveillance and Crisis Management on 18/08/2017, available online: http://www.routledge.com/9781138195431

    Accepted author manuscript, 266 KB, PDF document

    Available under license: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

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Intersecting Intelligence: An Exploration of Big Data Disruptions

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)peer-review

Published

Standard

Intersecting Intelligence: An Exploration of Big Data Disruptions. / Kerasidou, Charalampia Xaroula; Buscher, Monika; Petersen, Katrina Gooding.
Big Data, Surveillance and Crisis Management: The Dark Side of Big Data. ed. / Kees Boersma; Chiara Fonio. London: Routledge, 2017.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)peer-review

Harvard

Kerasidou, CX, Buscher, M & Petersen, KG 2017, Intersecting Intelligence: An Exploration of Big Data Disruptions. in K Boersma & C Fonio (eds), Big Data, Surveillance and Crisis Management: The Dark Side of Big Data. Routledge, London.

APA

Kerasidou, C. X., Buscher, M., & Petersen, K. G. (2017). Intersecting Intelligence: An Exploration of Big Data Disruptions. In K. Boersma, & C. Fonio (Eds.), Big Data, Surveillance and Crisis Management: The Dark Side of Big Data Routledge.

Vancouver

Kerasidou CX, Buscher M, Petersen KG. Intersecting Intelligence: An Exploration of Big Data Disruptions. In Boersma K, Fonio C, editors, Big Data, Surveillance and Crisis Management: The Dark Side of Big Data. London: Routledge. 2017

Author

Kerasidou, Charalampia Xaroula ; Buscher, Monika ; Petersen, Katrina Gooding. / Intersecting Intelligence : An Exploration of Big Data Disruptions. Big Data, Surveillance and Crisis Management: The Dark Side of Big Data. editor / Kees Boersma ; Chiara Fonio. London : Routledge, 2017.

Bibtex

@inbook{567f696dc0a44d36825c91235448de92,
title = "Intersecting Intelligence: An Exploration of Big Data Disruptions",
abstract = "This chapter explores ambiguous forms of emergent practices around big data use for crises in order to produce a set of questions and uncover a range of issues that might enable “better” ways of working with big data. Combining big data with crisis situations frames complex socio-political problems such as the refugee crisis that is current at the time of writing as problems of intelligence and information/data. By focusing on crisis it becomes possible to see how questions around data use need to shift from asking what is in the data to include discussion of how the data is structured and how this structure codifies value systems and social practices, subject positions and forms of visibility and invisibility – and thus forms of surveillance, and the very ideas of crisis, risk governance and preparedness. At the same time, Big data could be a technology for collaboration in relation to the complex causes and consequences of disasters, heightening awareness of vulnerabilities and capacities for response, and fostering consideration of the distribution of risks. Moreover, by highlighting fault lines of injustice before disaster strikes, risk governance augmented by big data could raise hopes for the development of communities of risk (Beck, 1999) and a more relational ethics of risk (B{\"u}scher et al. 2017), where {\textquoteleft}it would not take a hurricane to make visible the plight of the poor{\textquoteright} (Jasanoff 2007, 33) or a refugee crisis to highlight a need for integrated European and global responses to displacement.",
author = "Kerasidou, {Charalampia Xaroula} and Monika Buscher and Petersen, {Katrina Gooding}",
note = "This is an Accepted Manuscript of a book chapter published by Routledge in Big Data, Surveillance and Crisis Management on 18/08/2017, available online: http://www.routledge.com/9781138195431",
year = "2017",
month = aug,
day = "21",
language = "English",
isbn = "9781138195431",
editor = "Kees Boersma and Chiara Fonio",
booktitle = "Big Data, Surveillance and Crisis Management",
publisher = "Routledge",

}

RIS

TY - CHAP

T1 - Intersecting Intelligence

T2 - An Exploration of Big Data Disruptions

AU - Kerasidou, Charalampia Xaroula

AU - Buscher, Monika

AU - Petersen, Katrina Gooding

N1 - This is an Accepted Manuscript of a book chapter published by Routledge in Big Data, Surveillance and Crisis Management on 18/08/2017, available online: http://www.routledge.com/9781138195431

PY - 2017/8/21

Y1 - 2017/8/21

N2 - This chapter explores ambiguous forms of emergent practices around big data use for crises in order to produce a set of questions and uncover a range of issues that might enable “better” ways of working with big data. Combining big data with crisis situations frames complex socio-political problems such as the refugee crisis that is current at the time of writing as problems of intelligence and information/data. By focusing on crisis it becomes possible to see how questions around data use need to shift from asking what is in the data to include discussion of how the data is structured and how this structure codifies value systems and social practices, subject positions and forms of visibility and invisibility – and thus forms of surveillance, and the very ideas of crisis, risk governance and preparedness. At the same time, Big data could be a technology for collaboration in relation to the complex causes and consequences of disasters, heightening awareness of vulnerabilities and capacities for response, and fostering consideration of the distribution of risks. Moreover, by highlighting fault lines of injustice before disaster strikes, risk governance augmented by big data could raise hopes for the development of communities of risk (Beck, 1999) and a more relational ethics of risk (Büscher et al. 2017), where ‘it would not take a hurricane to make visible the plight of the poor’ (Jasanoff 2007, 33) or a refugee crisis to highlight a need for integrated European and global responses to displacement.

AB - This chapter explores ambiguous forms of emergent practices around big data use for crises in order to produce a set of questions and uncover a range of issues that might enable “better” ways of working with big data. Combining big data with crisis situations frames complex socio-political problems such as the refugee crisis that is current at the time of writing as problems of intelligence and information/data. By focusing on crisis it becomes possible to see how questions around data use need to shift from asking what is in the data to include discussion of how the data is structured and how this structure codifies value systems and social practices, subject positions and forms of visibility and invisibility – and thus forms of surveillance, and the very ideas of crisis, risk governance and preparedness. At the same time, Big data could be a technology for collaboration in relation to the complex causes and consequences of disasters, heightening awareness of vulnerabilities and capacities for response, and fostering consideration of the distribution of risks. Moreover, by highlighting fault lines of injustice before disaster strikes, risk governance augmented by big data could raise hopes for the development of communities of risk (Beck, 1999) and a more relational ethics of risk (Büscher et al. 2017), where ‘it would not take a hurricane to make visible the plight of the poor’ (Jasanoff 2007, 33) or a refugee crisis to highlight a need for integrated European and global responses to displacement.

M3 - Chapter (peer-reviewed)

SN - 9781138195431

BT - Big Data, Surveillance and Crisis Management

A2 - Boersma, Kees

A2 - Fonio, Chiara

PB - Routledge

CY - London

ER -