Call For Papers – ‘Thinking with Algorithms’, Durham, 26-27 Feb 2015

There are some important links between work on emergencies and how algorithms shape, govern and control everyday practices and processes, from traffic management to financial trading. For me, there are interesting questions around the normative and procedural understandings of algorithms, specifically in settings that do the work of governing urban circulations and dealing with disruptive events. Definitely looking forward to this conference.

Progressive Geographies

SAFE_Securing_Against_Future_Events_LogoCall For Papers for Workshop

‘Thinking with Algorithms: Cognition and Computation in the Work of N. Katherine Hayles’

Gala Theatre, Durham, 26-27 February 2015

Confirmed keynote speakers:
Katherine Hayles (Duke University)
Donald Mackenzie (Edinburgh University)
Luciana Parisi (Goldsmiths, University of London)
Celia Lury (Warwick University)
David Berry (Sussex University)

Organisers: Prof. Louise Amoore and Dr Volha Piotukh, Geography Department, Durham University

The event is funded within Prof. Louise Amoore’s ESRC ‘Securing against Future Events’ project ( and is free to attend. Research postgraduates and early career researchers whose abstracts are accepted will have their travel and accommodation costs reimbursed to a maximum of £200. Please submit abstracts of up to 400 words to: by 20 December 2014, using ‘Thinking with Algorithms’ as your subject line.

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Dalton and Thatcher commentary – “What does a critical data studies look like, and why do we care?”

Interesting commentary on critical big data studies from Craig Dalton and Jim Thatcher. There are some commonalties with questions the network has around identifying, planning for and responding to the emergency/crisis/disaster, through a ‘big data’ perspective. How is data about urban processes, social circulations and organisations captured and processed? What is included and omitted? How, and at what point, are risks identified, threats detected or emergencies declared? How is data visualised and made actionable via alarms, alerts, reports, checklists, maps, automated responses and so on in control rooms or state offices? How do people make sense of it and use it in situated ways? What are the consequences of this for our understanding of the emergency and how it is governed?