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Erschienen in:
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2014 | OriginalPaper | Buchkapitel

Who Were Where When? On the Use of Social Collective Intelligence in Computational Epidemiology

verfasst von : Magnus Boman

Erschienen in: Social Collective Intelligence

Verlag: Springer International Publishing

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Abstract

A triangular (case, theoretical, and literature) study approach is used to investigate if and how social collective intelligence is useful to computational epidemiology. The hypothesis is that the former can be employed for assisting in converting data into useful information through intelligent analyses by deploying new methods from data analytics that render previously unintelligible data intelligible. A conceptual bridge is built between the two concepts of crowd signals and syndromic surveillance. A concise list of empirical observations supporting the hypothesis is presented. The key observation is that new social collective intelligence methods and algorithms allow for massive data analytics to stay with the individual, in micro. It is thus possible to provide the analyst with advice tailored to the individual and with relevant policies, without resorting to macro (statistical) analyses of homogeneous populations.

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Vorheriges Kapitel Surfacing Collective Intelligence with Implications for Interface Design in Massive Open Online Courses
Nächstes Kapitel Social Collective Awareness in Socio-Technical Urban Superorganisms
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Metadaten
Titel
Who Were Where When? On the Use of Social Collective Intelligence in Computational Epidemiology
verfasst von
Magnus Boman
Copyright-Jahr
2014
Buch
Social Collective Intelligence

Print ISBN: 978-3-319-08680-4

Electronic ISBN: 978-3-319-08681-1

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-3-319-08681-1_10

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