CISP Online

Blog of the Centre for Invention & Social Process, Goldsmiths

March 12, 2012
by David Moats
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From Digital Methods to Digital Ontologies: Bruno Latour and Richard Rogers at CSISP

It was a completely full house last week (7 March) in the Ian Gulland Lecture Theatre for Richard Rogers’ and Bruno Latour’s joint presentation as part of The New in Social Research – with students and lecturers lining the steps and craning their necks from the upper deck.

Both speakers were gracious co-hosts: Rogers referring to himself as “the appetiser for the main course”, while Latour framed his talk as “a footnote” to Rogers’. But the two lectures, which addressed “digital methods” and “digital ontology” respectively, were more closely entwined: Rogers’ cutting edge mapping and internet research techniques provided “an occasion” for Latour to vindicate the theories of Gabriel Tarde, while Latour’s Tardian ontology provided validation and grounding for Roger’s methodologies.… Continue reading

Where does my money go

March 1, 2012
by Joe Deville
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The New in Social Research: Ruppert recording

We are pleased to put online the next in our ‘The New in Social Research’ series, a recording of Evelyn Ruppert’s lecture titled ‘Doing the Transparent State: Methods and their Subjectifying Effects/Affects’ (Feb 28th).

Building on themes explored in the previous talk by Fuller and Harwood, Ruppert looked at the effects (and affects) of the UK government’s data ‘Transparency Agenda’, insisting on the generative capacities of this device. This includes the release of detailed data, via publically accessible, comparatively easy-to-use online platforms (e.g. government produced data apps), ranging from details of MPs expenses to itemised lists of departmental spending. This data, in turn, can be – and increasingly is – downloaded, manipulated and mediated by organisations and institutions, whether by journalists looking to produce eye catching visualisations , or companies hoping to unearth market value hidden in the relations between and amongst different data sets.… Continue reading