Revolutionising the quality of life: the role of real-time sensing in smart cities

To further evolve urban quality of life, this paper explores the potential of crowdsensing and crowdsourcing in the context of smart cities. To aid urban planners and residents in understanding the nuances of day-to-day urban dynamics, we actively pursue the improvement of data visualisation tools that can adapt to changing conditions. An architecture was created and implemented that ensures secure and easy connectivity between various sources, such as a network of Internet of Things (IoT) devices, to merge with crowdsensing data and use them efficiently. In addition, we expanded the scope of our study to include the development of mobile and online applications, emphasizing the integration of autonomous and geo-surveillance. The main findings highlight the importance of sensor data in urban knowledge. Their incorporation via Tepresentational State Transfer (REST) Application Programming Interface (APIs) improves data access and informed decision-making, and dynamic data visualisation provides better insights. The geofencing of the application encourages community participation in urban planning and resource allocation, supporting sustainable urban innovation.This work was supported by FCT-Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020 and the project “Integrated and Innovative Solutions for the well-being of people in complex urban centers” within the Project Scope NORTE-01-0145-FEDER-000086. Rui Miranda was supported by grant no. UMINHO/BID/2021/137; Carlos Alves was supported by grant nos. 2022.12629.BD and UMINHO/BID/2021/134; Regina Sousa was supported by grant no. UMINHO/BID/2021/136; António Chaves was supported by grant no. UMINHO/BID/2021/135; Larissa Montenegro was supported by grant no. UMINHO/BID/2022/53

Towards a People's Social Epidemiology: Envisioning a More Inclusive and Equitable Future for Social Epi Research and Practice in the 21st Century.

Social epidemiology has made critical contributions to understanding population health. However, translation of social epidemiology science into action remains a challenge, raising concerns about the impacts of the field beyond academia. With so much focus on issues related to social position, discrimination, racism, power, and privilege, there has been surprisingly little deliberation about the extent and value of social inclusion and equity within the field itself. Indeed, the challenge of translation/action might be more readily met through re-envisioning the role of the people within the research/practice enterprise-reimagining what "social" could, or even should, mean for the future of the field. A potential path forward rests at the nexus of social epidemiology, community-based participatory research (CBPR), and information and communication technology (ICT). Here, we draw from social epidemiology, CBPR, and ICT literatures to introduce A People's Social Epi-a multi-tiered framework for guiding social epidemiology in becoming more inclusive, equitable, and actionable for 21st century practice. In presenting this framework, we suggest the value of taking participatory, collaborative approaches anchored in CBPR and ICT principles and technological affordances-especially within the context of place-based and environmental research. We believe that such approaches present opportunities to create a social epidemiology that is of, with, and by the people-not simply about them. In this spirit, we suggest 10 ICT tools to "socialize" social epidemiology and outline 10 ways to move towards A People's Social Epi in practice

Waking Up a Sleeping Giant: Lessons from Two Extended Pilots to Transform Public Organizations by Internal Crowdsourcing

Digital transformation is a main driver for change, evolution, and disruption in organizations. As digital transformation is not solely determined by technological advancements, public environments necessitate changes in organizational practice and culture alike. A mechanism that seeks to realize employee engagement to adopt innovative modes of problem-solving is internal crowdsourcing, which flips the mode of operation from top-down to bottom-up. This concept is thus disrupting public organizations, as it heavily builds on IT-enabled engagement platforms that overcome the barriers of functional expertise and routine processes. Within this paper, we reflect on two design science projects that were piloted for six months within public organizations. We derive insights on the sociotechnical effects of internal crowdsourcing on organizational culture, social control, individual resources, motivation, and empowerment. Furthermore, using social cognitive theory, we propose design propositions for internal crowdsourcing, that guide future research and practice-oriented approaches to enable innovation in public organizations

Engineering Crowdsourced Stream Processing Systems

A crowdsourced stream processing system (CSP) is a system that incorporates crowdsourced tasks in the processing of a data stream. This can be seen as enabling crowdsourcing work to be applied on a sample of large-scale data at high speed, or equivalently, enabling stream processing to employ human intelligence. It also leads to a substantial expansion of the capabilities of data processing systems. Engineering a CSP system requires the combination of human and machine computation elements. From a general systems theory perspective, this means taking into account inherited as well as emerging properties from both these elements. In this paper, we position CSP systems within a broader taxonomy, outline a series of design principles and evaluation metrics, present an extensible framework for their design, and describe several design patterns. We showcase the capabilities of CSP systems by performing a case study that applies our proposed framework to the design and analysis of a real system (AIDR) that classifies social media messages during time-critical crisis events. Results show that compared to a pure stream processing system, AIDR can achieve a higher data classification accuracy, while compared to a pure crowdsourcing solution, the system makes better use of human workers by requiring much less manual work effort

Crowdsourcing geospatial data for Earth and human observations: a review

The transformation from authoritative to user-generated data landscapes has garnered considerable attention, notably with the proliferation of crowdsourced geospatial data. Facilitated by advancements in digital technology and high-speed communication, this paradigm shift has democratized data collection, obliterating traditional barriers between data producers and users. While previous literature has compartmentalized this subject into distinct platforms and application domains, this review offers a holistic examination of crowdsourced geospatial data. Employing a narrative review approach due to the interdisciplinary nature of the topic, we investigate both human and Earth observations through crowdsourced initiatives. This review categorizes the diverse applications of these data and rigorously examines specific platforms and paradigms pertinent to data collection. Furthermore, it addresses salient challenges, encompassing data quality, inherent biases, and ethical dimensions. We contend that this thorough analysis will serve as an invaluable scholarly resource, encapsulating the current state-of-the-art in crowdsourced geospatial data, and offering strategic directions for future interdisciplinary research and applications across various sectors

Web 2.0 Technologies in the Software Development Process.

Software engineers must communicate with many different people, likely in different locations, in order to create a successful piece of software. Social media can be used to communicate quickly and efficiently to minimize miscommunications and facilitate collaboration in the software development process. Research in this area has been sparse but significant because initial findings show that social media is being used in innovative ways to improve software development. Surveys of what social media some companies are currently using along with information about new social media systems indicate possible uses for these technologies on future software development projects such as documentation maintenance, employee training, and predicting and thus preventing build failures

Computational Sociolinguistics: A Survey

Language is a social phenomenon and variation is inherent to its social nature. Recently, there has been a surge of interest within the computational linguistics (CL) community in the social dimension of language. In this article we present a survey of the emerging field of "Computational Sociolinguistics" that reflects this increased interest. We aim to provide a comprehensive overview of CL research on sociolinguistic themes, featuring topics such as the relation between language and social identity, language use in social interaction and multilingual communication. Moreover, we demonstrate the potential for synergy between the research communities involved, by showing how the large-scale data-driven methods that are widely used in CL can complement existing sociolinguistic studies, and how sociolinguistics can inform and challenge the methods and assumptions employed in CL studies. We hope to convey the possible benefits of a closer collaboration between the two communities and conclude with a discussion of open challenges.Comment: To appear in Computational Linguistics. Accepted for publication: 18th February, 201

Community participatory design in the information systems development process in Africa: a systemic literature review

Participatory design (PO) pertains to the different ways of incorporating ideas and acts of organisational members in designing, developing and evaluating an Information Systems (IS) artefact. The context of this study is community organisations in African settings participating in the designing and developing of an IS artefact. The study traces and synthesises findings from 95 articles on community PO in Information Systems Development in Africa. It argues that community PO consists of vast diverse constructs and implementations. This produced and reproduced concept is formulated in five major themes of: conceptualisations; ethics; standards; checks and balances and approaches; and perspectives and methodologies of PD. The themes constitute the possible ways of classifying PO research and practice in African settings. The results demonstrate that there is a wide belief that participation is one of the vital ingredients necessary for successful designing of IS artefacts for human development. However, the different elements involved in PO involve much discussion on what is known and needs to be known about PO and how to achieve the desired results by PD. The study uses Critical Research philosophy to pay special attention to the behavioural and attitudinal arguments of the different PO practices on community organisations. The researcher found Design Science (OS) principles that centre on devising an artefact as appropriate to frame this work. In sum, through the use of Critical Research and a OS lens, the researcher found that community participation is important in designing a useful IS artefact, but treacherous if misunderstood and inappropriately implemented