The wide availability of accurate sensors currently hosted by smartphones are enabling new participative urban management opportunities. Mobile crowdsensing (MCS) allows people to actively participate in any aspect of urban planning, by collecting and sharing data, reporting issues to public administrations, proposing solutions to urban planners, and delivering information of potential social interest to their community. Although collected data can be very helpful to enhance the quality of life of citizens, mobile users are still reluctant to use their devices to take advantages of the opportunities offered by the digitized society, mainly due to privacy issues. From August to December 2018, the city of Florianópolis, capital of Santa Catarina, in southern Brazil, was used as a living lab environment for an MCS application called ParticipACT Brazil, a socio/technical-aware crowdsensing platform. While the current literature focuses on MCS from a purely technical point of view, this research demonstrated that a multidisciplinary approach that includes both human sciences and ICT is needed in order to better identify critical issues, highlights the untapped potential of MCS paradigm, and suggests research methodologies that could provide benefits for all the actors involved (researchers, public administrators, and citizens).
The recent COVID-19 pandemic in Italy has highlighted several critical issues in the management process of infected people. At the health level, the management of the COVID-19 positive was mainly delegated to the regional authorities and centrally monitored by the State. Despite requested common activities (such as diagnosis of virus positivity, active surveillance of infected people and contact tracing), Regional Health Departments were able to issue specific directives in their territories and establish priority levels for each activity according to the specific needs related to the emergency in their area. The development of novel digital tools for the management of infected people become an urgent necessity to foster more organized and integrated solutions, able to quickly process large amounts of data. Mobile Crowdsensing methodologies could effectively facilitate needed lateral interviewing activities as well as the monitoring of crowds in environments with a high concentration of virus-positive subjects (such are hospital wards but also other locations), facilitating the tracing of possible outbreaks of contagion due to advanced geolocation techniques and big data analysis methods. This paper analyzes the functionality of SWAPS (Supporting Workflows for Healthcare Personnel management), a modular and scalable web platform which facilitate and reduces the management time of COVID positive health personnel within healthcare facilities. It also analyzes the possible integrations between SWAPS and ParticipACT, an advanced MCS platform developed by the University of Bologna that can help set up the alert notification in case of entry into a COVID risk area. This article surveys the current literature on software platforms to address COVID-19 and related tracing issues and presents the practical issues and on-the-field results obtained from the research developed by the University of Bologna by assisting the deployment of the proposed solution for a big Regional Health Department in the city of Bologna.
Adotta un sovversivo is the name of the initiative promoted by the State Archives of Bologna aimed at recovering and digitizing the over 300,000 documents preserved in the collection Dangerous People to State Security, produced by the Bologna Police Headquarters between 1872 and 1983. The initiative is part of the ArtBonus project promoted by the Ministry of Culture that allows institutes and private individuals to make donations to cultural institutions for the enhancement and restoration of their heritage. Adotta un sovversivo was presented on 25 September 2021 during the European Heritage Days.
The wide availability of accurate sensors currently hosted by smartphones are enabling new participative urban management opportunities. Mobile crowdsensing (MCS) allows people to actively participate in any aspect of urban planning, by collecting and sharing data, reporting issues to public administrations, proposing solutions to urban planners, and delivering information of potential social interest to their community. Although collected data can be very helpful to enhance the quality of life of citizens, mobile users are still reluctant to use their devices to take advantages of the opportunities offered by the digitized society, mainly due to privacy issues. From August to December 2018, the city of Florianópolis, capital of Santa Catarina, in southern Brazil, was used as a living lab environment for an MCS application called ParticipACT Brazil, a socio/technical-aware crowdsensing platform. While the current literature focuses on MCS from a purely technical point of view, this research demonstrated that a multidisciplinary approach that includes both human sciences and ICT is needed in order to better identify critical issues, highlights the untapped potential of MCS paradigm, and suggests research methodologies that could provide benefits for all the actors involved (researchers, public administrators, and citizens).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.