We are pleased to publish ‘A Social Framework for Big Data’ along with a background document. Both follow from our collaboratories and working paper. The Social Framework proposes an agenda that understands how social composition and social effects are related and proposes that giving Big Data a ‘social intelligence’ requires acting with an ethic of care. The background […]
We are pleased to announce that we have published our final working paper, ‘Socialising Big Data: From concept to practice’. The document is available on the CRESC website: http://www.cresc.ac.uk/medialibrary/workingpapers/wp138.pdf. We will be advising of further outputs in the near future.
On Monday 8th and Tuesday 09th September, 2014, we will be holding our Final Collaboratory in Manchester, UK. This will be the fourth collaboratory that we have held, having previously trialled the approach with three different practitioner groups: genomic scientists, national statisticians and practitioners working within the context of waste management. We have invited several […]
Following from our three collaboratories, which formed the initial part of our multi-method approach, we conducted two postgraduate workshops in June 2014: one at the ITU in Copenhagen and another at the Doctoral Training Centre at Goldsmiths, University of London. These advanced interdisciplinary workshops involved ‘socialising’ Big Data in two ways. First, they comprised of […]
This second collaboratory, to be held on 3 – 4 February 2014 in London, will bring together social scientists and national statisticians to explore the range of meanings and implications of Big Data for national statistics by attending to the question, ‘what counts?’ While Big Data sources have the potential to introduce efficiency gains in […]
Drawing on discussions about instruments, sequencing costs and projects at the ESRC Collaboratory on Next Generation Sequencing for Genomics, this posting questions the likely impact of the 100,000 Genome Project. The discussion about instruments was stimulated by the image below, produced by Professor Adrian Mackenzie from Lancaster University. This graph shows that most of the datasets […]
This post is a general reflection on the concerns of working with big data that follows from our first collaboratory on genomics held at the Wellcome Trust Sanger Institute in Cambridge this week (see Evelyn’s previous blog for further details). In discussing the opportunities, risks and challenges of working with big data, like Evelyn, I […]