Privacy in crowdsourcing:a systematic review

The advent of crowdsourcing has brought with it multiple privacy challenges. For example, essential monitoring activities, while necessary and unavoidable, also potentially compromise contributor privacy. We conducted an extensive literature review of the research related to the privacy aspects of crowdsourcing. Our investigation revealed interesting gender differences and also differences in terms of individual perceptions. We conclude by suggesting a number of future research directions.</p

Interoperability and Information Brokers in Public Safety: An Approach toward Seamless Emergency Communications

When a disaster occurs, the rapid gathering and sharing of crucial information among public safety agencies, emergency response units, and the public can save lives and reduce the scope of the problem; yet, this is seldom achieved. The lack of interoperability hinders effective collaboration across organizational and jurisdictional boundaries. In this article, we propose a general architecture for emergency communications that incorporates (1) an information broker, (2) events and event-driven processes, and (3) interoperability. This general architecture addresses the question of how an information broker can overcome obstacles, breach boundaries for seamless communication, and empower the public to become active participants in emergency communications. Our research is based on qualitative case studies on emergency communications, workshops with public safety agencies, and a comparative analysis of interoperability issues in the European public sector. This article features a conceptual approach toward proposing a way in which public safety agencies can achieve optimal interoperability and thereby enable seamless communication and crowdsourcing in emergency prevention and response

Sociotechnical co-production of planning information : opportunities and limits of crowdsourcing for the geography and planning of bicycle transportation

Urban planners deploy civic technologies to engage publics with digital tools in a relative vacuum of theory, understanding of challenges, or benefits. The issue, Lewis Mumford might have framed, could be of authoritarian and democratic technics—whether the technology contributes more to top-down control or bottom-up understanding. Building from collaborative planning theory, co-production suggests ways people can leverage technologies to build urban solutions with or without professional planners. Empirical research shows that crowdsourcing to address planning questions with digital civic platforms can help fill or mitigate information gaps, including support for bicycling as a safe and comfortable travel mode. However, no research has addressed how crowdsourced information for bicycle planning offers new insights for safety, the geography of participation, or how its social construction impacts its representation of bicycling in a community. A new framework for evaluating co-productive planning is proposed, considering legitimacy, accessibility, social learning, transparency, and representation (LASTR). This dissertation addresses these concerns of safety, geography, and social construction through the LASTR framework using mixed-methods case studies in Portland, Oregon, and Austin, Texas. Bicycle volumes and street ratings through the crowdsourcing platform, along with geographic information system environmental data, and interviews with thirty-three informants form the basis for evaluating these issues. Viewed from pragmatism and social construction of technology, the social processes of planning and technological developments are intertwined and traced in tandem. The first three chapters frame the problems, build a background in theory, and describe the research questions, planning contexts, and data for analysis. The next three chapters are empirical, evaluating the use of crowdsourced information for bicycle safety, comparing the geography of crowdsourced participation with in-person meetings from both cities’ most recent bicycle planning process, and tracing the sociotechnical representation of crowdsourcing bicyclist information through interviews and case materials. The final chapter summarizes the findings and implications for practice and research. This dissertation shows that the biased representation of bicycling in these two crowdsourcing cases pose opportunities to identify safer bicycling routes and expand public participation geographies, but could exacerbate problems with aligning public improvements with the users of a specific technological approach. Further, the construct of crowdsourcing for urban planning remains flexible and therefore merits further study and knowledge transfer for practitioners and students.Community and Regional Plannin

Crisis Analytics: Big Data Driven Crisis Response

Disasters have long been a scourge for humanity. With the advances in technology (in terms of computing, communications, and the ability to process and analyze big data), our ability to respond to disasters is at an inflection point. There is great optimism that big data tools can be leveraged to process the large amounts of crisis-related data (in the form of user generated data in addition to the traditional humanitarian data) to provide an insight into the fast-changing situation and help drive an effective disaster response. This article introduces the history and the future of big crisis data analytics, along with a discussion on its promise, challenges, and pitfalls

The Use of Social Media by UK Local Resilience Forums

The potential uses of social media in the field of emergency preparedness, resilience and response (EPRR) are varied and interesting. The UK government have produced guidance documents for its use in the UK EPRR field but evidence of use is poorly documented and appears sporadic. This paper presents the results of a survey of Local Resilience Forums (LRF) in the UK on their use and engagement with social media. The findings suggest that the level of application of social media strategies as emergency planning or response tools varied significantly between the LRFs. While over 90percent of respondents claimed that their LRF used social media as part of their strategy, most of this use was reactive or passive, rather than proactive and systematic. The various strategies employed seem to be linked most strongly to local expertise and the existence of social media ‘champions’ rather than to the directives and guidance emerging from government

A public safety, participatory crowdsourcing smart city model for a developing country

Worldwide the population in cities is increasing. It is the responsibility of local government to provide public safety services in order to ensure the safety of their citizens and, yet, the local government often have inadequate resources to do this. ‘Smart Cities’ is a new and innovative concept that has emerged during the past few years and which involves using current infrastructure and resources more effectively and efficiently. One of the methods used to collect data in a smart city is participatory crowdsourcing but, in order to ensure effectiveness and efficiency, it is essential that a large amount of data be collected from the participants in such a project, who are generally citizens residing in the city. This study was conducted in the city of East London, which is part of the Buffalo City Metropolitan Municipality (BCMM). The study made use of a Design Science approach with a mixed method data collection method. The quantitative data collection comprised a questionnaire that was completed by 394 participants, while the qualitative data collection included a detailed literature review, conversational analysis and observations arising from the building of the crowdsourcing system prototype. The design artefact produced by this research is a model based on the literature, conversational analysis and the principles and concepts learnt from the prototype. Thus, this model represents what must be incorporated in the prototype to assist with the implementation of a public safety, participatory crowdsourcing smart city in a developing country. The model includes three areas ‒ the crowdsourcing system, the city (Buffalo City Metropolitan Municipality) and the citizens of East London. The crowdsourcing system incorporates factors of information security, specifically the CIA triad, and the usability of the crowdsourcing system. Usability includes characteristics such as the quality of the system and interface, as well as the usefulness of the public safety, participatory crowdsourcing system which was used to measure the confidence of the East London citizens in the system. Three steps were identified in the literature as being necessary for the implementation of a smart city project by a city. These steps include the planning, development and delivery of the smart city project. Finally, the trustworthiness of the public safety participatory crowdsourcing system is determined by the ability, reliability and benevolence of the system. These three characteristics were included in the citizen factor of the model

A public safety, participatory crowdsourcing smart city model for a developing country

Worldwide the population in cities is increasing. It is the responsibility of local government to provide public safety services in order to ensure the safety of their citizens and, yet, the local government often have inadequate resources to do this. ‘Smart Cities’ is a new and innovative concept that has emerged during the past few years and which involves using current infrastructure and resources more effectively and efficiently. One of the methods used to collect data in a smart city is participatory crowdsourcing but, in order to ensure effectiveness and efficiency, it is essential that a large amount of data be collected from the participants in such a project, who are generally citizens residing in the city. This study was conducted in the city of East London, which is part of the Buffalo City Metropolitan Municipality (BCMM). The study made use of a Design Science approach with a mixed method data collection method. The quantitative data collection comprised a questionnaire that was completed by 394 participants, while the qualitative data collection included a detailed literature review, conversational analysis and observations arising from the building of the crowdsourcing system prototype. The design artefact produced by this research is a model based on the literature, conversational analysis and the principles and concepts learnt from the prototype. Thus, this model represents what must be incorporated in the prototype to assist with the implementation of a public safety, participatory crowdsourcing smart city in a developing country. The model includes three areas ‒ the crowdsourcing system, the city (Buffalo City Metropolitan Municipality) and the citizens of East London. The crowdsourcing system incorporates factors of information security, specifically the CIA triad, and the usability of the crowdsourcing system. Usability includes characteristics such as the quality of the system and interface, as well as the usefulness of the public safety, participatory crowdsourcing system which was used to measure the confidence of the East London citizens in the system. Three steps were identified in the literature as being necessary for the implementation of a smart city project by a city. These steps include the planning, development and delivery of the smart city project. Finally, the trustworthiness of the public safety participatory crowdsourcing system is determined by the ability, reliability and benevolence of the system. These three characteristics were included in the citizen factor of the model