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dc.contributor.authorDanaher, John
dc.contributor.authorHogan, Michael J.
dc.contributor.authorNoone, Chris
dc.contributor.authorKennedy, Rónán
dc.contributor.authorBehan, Anthony
dc.contributor.authorDe Paor, Aisling
dc.contributor.authorFelzmann, Heike
dc.contributor.authorHaklay, Muki
dc.contributor.authorKhoo, Su-ming
dc.contributor.authorMorison, John
dc.contributor.authorMurphy, Maria Helen
dc.contributor.authorO'Brolchain, Niall
dc.contributor.authorSchafer, Burkhard
dc.contributor.authorKalpana, Shankar
dc.date.accessioned2017-12-21T15:57:02Z
dc.date.available2017-12-21T15:57:02Z
dc.date.issued2017-09-19
dc.identifier.citationDanaher, J,Hogan, MJ,Noone, C,Kennedy, R,Behan, A,De Paor, A,Felzmann, H,Haklay, M,Khoo, SM,Morison, J,Murphy, MH,O'Brolchain, N,Schafer, B,Shankar, K. (2017) Algorithmic governance: Developing a research agenda through the power of collective intelligence. Big Data & Society, 4(2), doi: 10.1177/2053951717726554en_IE
dc.identifier.issn2053-9517
dc.identifier.urihttp://hdl.handle.net/10379/7071
dc.description.abstractWe are living in an algorithmic age where mathematics and computer science are coming together in powerful new ways to influence, shape and guide our behaviour and the governance of our societies. As these algorithmic governance structures proliferate, it is vital that we ensure their effectiveness and legitimacy. That is, we need to ensure that they are an effective means for achieving a legitimate policy goal that are also procedurally fair, open and unbiased. But how can we ensure that algorithmic governance structures are both? This article shares the results of a collective intelligence workshop that addressed exactly this question. The workshop brought together a multidisciplinary group of scholars to consider (a) barriers to legitimate and effective algorithmic governance and (b) the research methods needed to address the nature and impact of specific barriers. An interactive management workshop technique was used to harness the collective intelligence of this multidisciplinary group. This method enabled participants to produce a framework and research agenda for those who are concerned about algorithmic governance. We outline this research agenda below, providing a detailed map of key research themes, questions and methods that our workshop felt ought to be pursued. This builds upon existing work on research agendas for critical algorithm studies in a unique way through the method of collective intelligence.en_IE
dc.description.sponsorshipThe authors would like to acknowledge the funding of the Irish Research Council (New Horizons Grant) and the Whitaker Institute, NUI Galway, without whose support this paper would not have been possible.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherSAGE Publicationsen_IE
dc.relation.ispartofBig Data and societyen
dc.subjectAlgorithmic governanceen_IE
dc.subjectBig Dataen_IE
dc.subjectAlgocracyen_IE
dc.subjectCollective intelligenceen_IE
dc.subjectInteractive managementen_IE
dc.subjectPublic participationen_IE
dc.titleAlgorithmic governance: Developing a research agenda through the power of collective intelligenceen_IE
dc.typeArticleen_IE
dc.date.updated2017-12-21T09:31:59Z
dc.identifier.doi10.1177/2053951717726554
dc.local.publishedsourcehttp://dx.doi.org/10.1177/2053951717726554en_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funderIrish Research Council
dc.internal.rssid13423667
dc.local.contactRónán Kennedy, Law Faculty, Nui, Galway. 5626 Email: ronan.m.kennedy@nuigalway.ie
dc.local.copyrightcheckedNo
dc.local.versionACCEPTED
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