- Smart spaces, Smart Cities, Citizen Science, Social Media, Microblogging, Mobile and Locative Art, and 10 moreMobile and Locative Media, Mobile social networking, Mobility/Mobilities, STS (Anthropology), Crisis communication and management, Situation awareness, LBS, Media Studies, New Media, and Digital Mediaedit
Emergencies are characterised by uncertainty. This motivates the design of information systems that model and predict complex natural, material or human processes to support understanding and reduce uncertainty through prediction. The... more
Emergencies are characterised by uncertainty. This motivates the design of information systems that model and predict complex natural, material or human processes to support understanding and reduce uncertainty through prediction. The correspondence between system models and reality, however, is also governed by uncertainties, and designers have developed methods to render 'the world' transparent in ways that can inform, fine-tune and validate models. Additionally, people experience uncertainties in their use of simulation and prediction systems. This is a major obstacle to effective utilisation. We discuss ethically and socially motivated demands for transparency.
Research Interests: Strategies and Solutions
Over the past two decades urban social life has undergone a rapid and pervasive geocoding, becoming mediated, augmented and anticipated by location-sensitive technologies and services that generate and utilise big, personal, locative... more
Over the past two decades urban social life has undergone a rapid and pervasive geocoding, becoming mediated, augmented and anticipated by location-sensitive technologies and services that generate and utilise big, personal, locative data. The production of these data has prompted the development of exploratory data-driven computing experiments that seek to find ways to extract value and insight from them. These projects often start from the data, rather than from a question or theory, and try to imagine and identify their potential utility. In this paper, we explore the desires and mechanics of data-driven computing experiments. We demonstrate how both locative media data and computing experiments are 'staged' to create new values and computing techniques, which in turn are used to try and derive possible futures that are ridden with unintended consequences. We argue that using computing experiments to imagine potential urban futures produces effects that often have little to do with creating new urban practices. Instead, these experiments promote Big Data science and the prospect that data produced for one purpose can be recast for another and act as alternative mechanisms of envisioning urban futures.
Research Interests:
This article examines the process of constructing, repairing, and improvising “human–signal assemblages” by drawing on in-depth interviews and virtual ethnography regarding the engineering of Wi-Fi connectivity in Taipei, Taiwan. It is... more
This article examines the process of constructing, repairing, and improvising “human–signal assemblages” by drawing on in-depth interviews and virtual ethnography regarding the engineering of Wi-Fi connectivity in Taipei, Taiwan. It is demonstrated that spatial, temporal, infrastructural, and embodied orchestrations of Wi-Fi signals both reinforce and challenge prescribed ways of conducting daily tasks. Continuity and change, enacted by attempts to incorporate Wi-Fi signals into daily urban life, are explored by discussing a wide range of practices performed by government entities, local companies and initiatives, and users themselves. Particular attention is paid to the ways in which machines, the city landscape, discourses, maps, and signs grow and multiply, as well as intersect and intervene with each other at various levels, locales, and stages of establishing Wi-Fi connections. The article thus argues for the importance of “machine juggling” as a skillful performance that mends, maintains, and improvises Wi-Fi-enabled urban everyday rhythms.
Research Interests:
Research Interests:
Hackathons – quick prototyping events for commercial purposes – have become an important means to foster innovation, entrepreneurship and the start-up economy in smart cities. Smart and entrepreneurial cities have been critiqued with... more
Hackathons – quick prototyping events for commercial purposes – have become an important means to foster innovation, entrepreneurship and the start-up economy in smart cities. Smart and entrepreneurial cities have been critiqued with respect to the neoliberalization of governance and statecraft. We consider the passions, inventions and imitations in the assemblage of practices – alongside neoliberalizing and capitalist operations – that shape the economy and governance of smart cities. The paper examines hackathons as tech events that extend the passions for digital innovation and entrepreneurship and act as sites of social learning for the development of smart urbanism. We argue that passionate and imitative practices energize the desire and belief in entrepreneurial life and technocratic governance, and also engender precarious, ambiguous and uncertain future for participants and prototypes.
Research Interests:
Over the past two decades urban social life has undergone a rapid and pervasive geocoding, becoming mediated, augmented and anticipated by location-sensitive technologies and services that generate and utilise big, personal, locative... more
Over the past two decades urban social life has undergone a rapid and pervasive geocoding, becoming mediated, augmented and anticipated by location-sensitive technologies and services that generate and utilise big, personal, locative data. The production of these data has prompted the development of exploratory data-driven computing experiments that seek to find ways to extract value and insight from them. These projects often start from the data, rather than from a question or theory, and try to imagine and identify their potential utility. In this paper, we explore the desires and mechanics of data-driven computing experiments. We demonstrate how both locative media data and computing experiments are 'staged' to create new values and computing techniques, which in turn are used to try and derive possible futures that are ridden with unintended consequences. We argue that using computing experiments to imagine potential urban futures produces effects that often have little to do with creating new urban practices. Instead, these experiments promote Big Data science and the prospect that data produced for one purpose can be recast for another and act as alternative mechanisms of envisioning urban futures.