5,952 research outputs found

    Multidimensional Participation in Hybrid Wireless Communities

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    Wireless communities have been long considered an interesting approach to provide mobile Internet, but the key issue is whether they are able to attract and retain a critical mass of active members. It is therefore crucial to understand what motivates and dissuades people from joining and participating in them, especially with the development of mainstream 3G technologies, in order to evaluate their potential development. This paper analyzes motivations and barriers influencing participation in a large wireless community – Fon – based on a survey of 268 members. Two distinct forms of participation driven by different motivations emerge: a ‘participation by sharing’ driven by idealistic motivation and a ‘social participation’ driven by social motives and technical interest. Utilitarian motivations do not play a major role for active participation despite being crucial in attracting members to the community. Accordingly, the way hybrid wireless communities are currently designed (hardly offering occasions for a social usage experience, experimentation and with decreasing utilitarian benefits due the development of 3G technologies) is casting serious doubts about a possible potential development above the status of a niche complement to the dominant cellular technologies

    Bottom-up Infrastructures: Aligning Politics and Technology in building a Wireless Community Network

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    Contemporary innovation in infrastructures is increasingly characterized by a close relationship between experts and lay people. This phenomenon has attracted the attention from a wide range of disciplines, including computer-supported cooperative work (CSCW), science and technology studies (S&TS), organization studies and participatory design (PD). Connecting to this broad area of research, the article presents a qualitative case study concerning the building and maintenance of a grassroots, bottom-up information infrastructure in Italy, defined as wireless community network (WCN). Methodologically, the research is based on qualitative interviews with participants to the WCN, ethnographic observations and document analysis. The aim of the article is to understand the alignment between the technical work implied in building this bottom-up infrastructure and the political and cultural frameworks that move people to participate to this project. Relying on the field of science & technology studies, and in particular on the notions of ‘inverse infrastructure’ and ‘research in the wild’, we disclose the WCN’s peculiar innovation trajectory, localized outside conventional spaces of research and development. Overall, the presentation of the qualitative and ethnographic data allows to point out a more general reflection on bottom-up infrastructures and to enrich the academic debate concerning bottom-up infrastructuring work and other similar typologies of collaborative design projects in the domain of infrastructures

    Images of the city in the making : participatory mapping, dynamic data processing and collective knowledge

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    The article focuses on the practices relevant for digital mapping based on dynamic data processing and GIS. I argue that participatory mapping can be seen as a form of data driven activism and as such it is first and foremost the example of the collective knowledge. Hence, the primary function of the images (e.g. maps) produced in the process is not so much the representation of the city as rather it is the role they play in the dynamic operations of knowledge production on a grassroots level. Given that the computing technology and data processing saturate the social relations of the contemporary urban environments to the considerable extent, certain shift in the scope of analysis is required: the focus on how the images emerge and how they act in the world seems to be more relevant than the traditional analysis of the city’s visual representation

    The Critical Role of Public Charging Infrastructure

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    Editors: Peter Fox-Penner, PhD, Z. Justin Ren, PhD, David O. JermainA decade after the launch of the contemporary global electric vehicle (EV) market, most cities face a major challenge preparing for rising EV demand. Some cities, and the leaders who shape them, are meeting and even leading demand for EV infrastructure. This book aggregates deep, groundbreaking research in the areas of urban EV deployment for city managers, private developers, urban planners, and utilities who want to understand and lead change

    Understanding IT Innovations Through Computational Analysis of Discourse

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    How do Information Technology (IT) innovation concepts emerge, coexist, evolve, and relate to each other? To address this question, we theorize that innovation concepts are interrelated in an idea network, where they can be likened to species in a competitive and symbiotic resource space. Communities of organizations and people interested in the innovations produce discourse that both reflects and enables the flows of attention among innovations. From this ecological perspective, we apply discourse analysis to innovation research and propose computational approach to scale up the analysis. Specifically, we employed Kullback-Leibler divergence to compare the linguistic patterns of 48 IT innovations reported in InformationWeek and Computerworld over a decade. Using multidimensional scaling, we found that similar innovations demonstrated similar discourses. The results demonstrate the validity, scalability, and utility of computational discourse analysis for practitioners and scholars to understand the socio-technical dynamics in the IT innovation ecosystem

    Personalization in cultural heritage: the road travelled and the one ahead

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    Over the last 20 years, cultural heritage has been a favored domain for personalization research. For years, researchers have experimented with the cutting edge technology of the day; now, with the convergence of internet and wireless technology, and the increasing adoption of the Web as a platform for the publication of information, the visitor is able to exploit cultural heritage material before, during and after the visit, having different goals and requirements in each phase. However, cultural heritage sites have a huge amount of information to present, which must be filtered and personalized in order to enable the individual user to easily access it. Personalization of cultural heritage information requires a system that is able to model the user (e.g., interest, knowledge and other personal characteristics), as well as contextual aspects, select the most appropriate content, and deliver it in the most suitable way. It should be noted that achieving this result is extremely challenging in the case of first-time users, such as tourists who visit a cultural heritage site for the first time (and maybe the only time in their life). In addition, as tourism is a social activity, adapting to the individual is not enough because groups and communities have to be modeled and supported as well, taking into account their mutual interests, previous mutual experience, and requirements. How to model and represent the user(s) and the context of the visit and how to reason with regard to the information that is available are the challenges faced by researchers in personalization of cultural heritage. Notwithstanding the effort invested so far, a definite solution is far from being reached, mainly because new technology and new aspects of personalization are constantly being introduced. This article surveys the research in this area. Starting from the earlier systems, which presented cultural heritage information in kiosks, it summarizes the evolution of personalization techniques in museum web sites, virtual collections and mobile guides, until recent extension of cultural heritage toward the semantic and social web. The paper concludes with current challenges and points out areas where future research is needed
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