11 research outputs found

    The world wide web of carbon: Toward a relational footprinting of information and communications technology's climate impacts

    Get PDF
    The climate impacts of the information and communications technology sector—and Big Data especially—is a topic of growing public and industry concern, though attempts to quantify its carbon footprint have produced contradictory results. Some studies argue that information and communications technology's global carbon footprint is set to rise dramatically in the coming years, requiring urgent regulation and sectoral degrowth. Others argue that information and communications technology's growth is largely decoupled from its carbon emissions, and so provides valuable climate solutions and a model for other industries. This article assesses these debates, arguing that, due to data frictions and incommensurate study designs, the question is likely to remain irresolvable at the global scale. We present six methodological factors that drive this impasse: fraught access to industry data, bottom-up vs. top-down assessments, system boundaries, geographic averaging, functional units, and energy efficiencies. In response, we propose an alternative approach that reframes the question in spatial and situated terms: A relational footprinting that demarcates particular relationships between elements—geographic, technical, and social—within broader information and communications technology infrastructures. Illustrating this model with one of the global Internet's most overlooked components—subsea telecommunication cables—we propose that information and communications technology futures would be best charted not only in terms of quantified total energy use, but in specifying the geographical and technical parts of the network that are the least carbon-intensive, and which can therefore provide opportunities for both carbon reductions and a renewed infrastructural politics. In parallel to the politics of (de)growth, we must also consider different network forms

    Infrastructural Speculations: Tactics for Designing and Interrogating Lifeworlds

    Get PDF
    This paper introduces “infrastructural speculations,” an orientation toward speculative design that considers the complex and long-lived relationships of technologies with broader systems, beyond moments of immediate invention and design. As modes of speculation are increasingly used to interrogate questions of broad societal concern, it is pertinent to develop an orientation that foregrounds the “lifeworld” of artifacts—the social, perceptual, and political environment in which they exist. While speculative designs often imply a lifeworld, infrastructural speculations place lifeworlds at the center of design concern, calling attention to the cultural, regulatory, environmental, and repair conditions that enable and surround particular future visions. By articulating connections and affinities between speculative design and infrastructure studies research, we contribute a set of design tactics for producing infrastructural speculations. These tactics help design researchers interrogate the complex and ongoing entanglements among technologies, institutions, practices, and systems of power when gauging the stakes of alternate lifeworlds

    The Network Map Under Water

    No full text
    Digital Humanities Forum 2016: Places, Spaces, Sites, University of Kansas, September 30th, 2016: https://idrh.ku.edu/dhforum2016 Nicole Starosielski is at NYU

    Generating Educational Tourism Narratives from Wikipedia

    No full text
    We present a narrative theory-based approach to data mining that generates cohesive stories from a Wikipedia corpus. This approach is based on a data mining-friendly view of narrative derived from narratology, and uses a prototype mining algorithm that implements this view. Our initial test case and focus is that of field-based educational tour narrative generation, for which we have successfully implemented a proof-of-concept system called Minotour. This system operates on a client-server model, in which the server mines a Wikipedia database dump to generate narratives between any two spatial features that have associated Wikipedia articles. The server then delivers those narratives to mobile device clients. 1

    WikEar – Automatically Generated Location-Based Audio Stories between Public City Maps

    No full text
    Abstract. Many mobile applications that lead tourists to landmarks and businesses ignore the educational component of tourism. The systems that do satiate the tourist’s desire for learning about visited places require so much costly custom content development that they can only be implemented at very local scales. Moreover, these systems quickly fall out-of-date and continually have to be manually updated. In our approach, called WikEar, data mined from Wikipedia is automatically organized according to principles derived from narrative theory to woven into an educational audio tours starting and ending at stationary city maps. The system generates custom, location-based “guided tours ” that are never out-of-date and ubiquitous – even at an international scale. WikEar uses a magic lens-based interaction scheme for paper maps, which have been shown to be particularly important in the tourist experience. By leveraging on the wide availability of large public city maps, WikEar avoids the costs of GPS and the interaction problems of small screen map programs
    corecore