Tag Archives: Internet of Things

Video: Data Politics and Internet of Things

In November 2016, CONNECT, The Programmable City and Maynooth University Social Science Institute (MUSSI) invited a panel of international and local experts from different disciplines to explore the broader political, economic and social implications of Internet of Things.

The panel included Linda Doyle (Trinity College Dublin), Anne Helmond (University of Amsterdam), Aphra Kerr (Maynooth University), Rob Kitchin (Maynooth University), Liz McFall (Open University) and Alison Powell (LSE). The video of the presentations by the panel members and also the discussion afterwards are available to view now.

For more details of the event, please see Science Gallery Dublin’s event page here, or here for a workshop organised for earlier in the day.

New paper: Algorhythmic governance: Regulating the ‘heartbeat’ of a city using the Internet of Things

Claudio Coletta and Rob Kitchin have published a new Programmable City working paper (No. 22) – Algorhythmic governance: Regulating the ‘heartbeat’ of a city using the Internet of Things – which is due to be delivered at the Algorithms in Culture workshop at the University of California Berkeley, 1-2 December 2016.

It can be downloaded from: OSF, ResearchGate, Academia

Abstract

To date, research examining the socio-spatial effects of smart city technologies have charted how they are reconfiguring the production of space, spatiality and mobility, and how urban space is governed, but have paid little attention to how the temporality of cities is being reshaped by systems and infrastructure that capture, process and act on real-time data. In this paper, we map out the ways in which city-scale Internet of Things infrastructures, and their associated networks of sensors, meters, transponders, actuators and algorithms, are used to measure, monitor and regulate the polymorphic temporal rhythms of urban life. Drawing on Lefebvre (1992[2004]), and subsequent research, we employ rhythmanalysis in conjunction with Miyazaki’s (2012, 2013a/b) notion of ‘algorhythm’ and nascent work on algorithmic governance, to develop a concept of ‘algorhythmic governance’. We then use this framing to make sense of two empirical case studies: a traffic management system and sound monitoring and modelling. Our analysis reveals: (1) how smart city technologies computationally perform rhythmanalysis and undertake rhythm-work that intervenes in space-time processes; (2) three distinct forms of algorhythmic governance, varying on the basis of adaptiveness, immediacy of action, and whether humans are in, on-, of-, off-the-loop; (3) and a number of factors that shape how algorhythmic governance works in practice.

Key words: algorhythm, algorithmic governance, rhythmanalysis, Internet of Things, smart cities, time geography