Toward a manifesto for the ‘public understanding of big data’

In this article, we sketch a ‘manifesto’ for the ‘public understanding of big data’. On the one hand, this entails such public understanding of science and public engagement with science and technology–tinged questions as follows: How, when and where are people exposed to, or do they engage with, big data? Who are regarded as big data’s trustworthy sources, or credible commentators and critics? What are the mechanisms by which big data systems are opened to public scrutiny? On the other hand, big data generate many challenges for public understanding of science and public engagement with science and technology: How do we address publics that are simultaneously the informant, the informed and the information of big data? What counts as understanding of, or engagement with, big data, when big data themselves are multiplying, fluid and recursive? As part of our manifesto, we propose a range of empirical, conceptual and methodological exhortations. We also provide Appendix 1 that outlines three novel methods for addressing some of the issues raised in the article.

[1]  Tom Boellstorff,et al.  Making big data, in theory , 2013, First Monday.

[2]  Daniel Barrios-O'Neill.  Social media: a critical introduction , 2015 .

[3]  Mark R. Johnson.  Material Participation: Technology, the Environment and Everyday Publics , 2013 .

[4]  Tobie Kerridge,et al.  Energy Babble: Mixing Environmentally-Oriented Internet Content to Engage Community Groups , 2015, CHI.

[5]  David Wright.  Popular culture and new media: The politics of circulation , 2015 .

[6]  David Beer,et al.  Popular Culture, Digital Archives and the New Social Life of Data , 2013 .

[7]  Jennifer Gabrys.  Programming Environments: Environmentality and Citizen Sensing in the Smart City , 2014 .

[8]  Sue Oreszczyn,et al.  Engaging Cooperative Research , 2014 .

[9]  Rob Kitchin,et al.  The data revolution : big data, open data, data infrastructures & their consequences , 2014 .

[10]  Heong Hong Por,et al.  Clinical Labor: Tissue Donors and Research Subjects in the Global Bioeconomy , 2016 .

[11]  David Lyon,et al.  Everyday Surveillance: Personal data and social classifications , 2002 .

[12]  Jo Bates,et al.  "This is what modern deregulation looks like" : co-optation and contestation in the shaping of the UK's Open Government Data Initiative , 2012, J. Community Informatics.

[13]  M. Gibbons,et al.  Re-Thinking Science: Knowledge and the Public in an Age of Uncertainty , 2003 .

[14]  J. Durant,et al.  The public understanding of science , 1989, Nature.

[15]  J. Law.  After Method: Mess in Social Science Research , 2004 .

[16]  David Lyon,et al.  Liquid Surveillance: A Conversation , 2012 .

[17]  James Mussell.  Raw Data is an Oxymoron , 2014 .

[18]  D. Boyd,et al.  CRITICAL QUESTIONS FOR BIG DATA , 2012 .

[19]  M. Albornoz.  Re-Thinking Science: Knowledge and the Public in an Age of Uncertainty , 2003 .

[20]  Philip Barker,et al.  Blogs, Wikipedia, Second Life, and beyond: From Production to Produsage , 2009 .

[21]  Michaela Mueller.  Acting in An Uncertain World: An Essay on Technical Democracy , 2011 .

[22]  David Mason,et al.  Digital Methods , 2014, Online Inf. Rev..

[23]  David Stuart,et al.  The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences , 2015, Online Inf. Rev..

[24]  H. Horst,et al.  The Cell Phone: An Anthropology of Communication , 2006 .

[25]  Minna Räsänen,et al.  The Raw is Cooked , 2013 .

[26]  Tim G. Davies,et al.  The Promises and Perils of Open Government Data (OGD) , 2012, J. Community Informatics.

[27]  Jason Chilvers,et al.  Deliberating Competence , 2008 .

[28]  Nancy K. Baym,et al.  Data not seen: The uses and shortcomings of social media metrics , 2013, First Monday.

[29]  Gerald Holton,et al.  How to think about the `anti-science' phenomenon , 1992 .

[30]  M. Michael.  “What Are We Busy Doing?” , 2012 .

[31]  Alan Irwin,et al.  Public Deliberation and Governance: Engaging with Science and Technology in Contemporary Europe , 2006 .

[32]  B. Wynne,et al.  Science, Scientism and Imaginaries of Publics in the UK: Passive Objects, Incipient Threats , 2013 .

[33]  M. Dean,et al.  Governmentality: Power and Rule in Modern Society , 1999 .

[34]  Mike Michael,et al.  Accumulation : the material politics of plastic , 2013 .

[35]  Nigel Thrift,et al.  The ‘sentient’ city and what it may portend , 2014, Big Data Soc..

[36]  H J Morowitz,et al.  SCIENTIFIC LITERACY , 1986, The Lancet.

[37]  Paolo Totaro,et al.  The Concept of Algorithm as an Interpretative Key of Modern Rationality , 2014 .

[38]  Scott Lash,et al.  Life (Vitalism) , 2006 .

[39]  Rebecca Pero,et al.  Liquid surveillance: A conversation , 2015, New Media Soc..

[40]  Mark Andrejevic,et al.  Infoglut: How Too Much Information Is Changing the Way We Think and Know , 2013 .

[41]  Deborah Lupton.  The Quantified Self: A Sociology of Self-Tracking , 2016 .

[42]  Rob Kitchin,et al.  Towards Critical Data Studies: Charting and Unpacking Data Assemblages and Their Work , 2014 .

[43]  C. Fuchs.  What Is Social Media , 2014 .

[44]  Evelyn Ruppert,et al.  Population Objects: Interpassive Subjects , 2011 .

[45]  Sheila Jasanoff.  Acting in an Uncertain World: An Essay on Technical Democracy (review) , 2012 .

[46]  Mark Andrejevic,et al.  The big data divide , 2014 .

[47]  Mike Michael,et al.  Publics performing publics: of PiGs, PiPs and politics , 2009 .

[48]  Kirsty Best.  Living in the control society , 2010 .

[49]  B. Massumi,et al.  The postmodern condition : a report on knowledge , 1979 .

[50]  Georgina Born,et al.  Logics of interdisciplinarity , 2008 .

[51]  David Beer,et al.  Popular Culture and New Media , 2013 .

[52]  George Ritzer,et al.  Prosumption: Evolution, revolution, or eternal return of the same? , 2014 .