Abstract
The evolution in knowledge management and crowdsourcing research provides new data-processing capabilities. The availability of both structured and unstructured open data formats offers unforeseen opportunities for analytics processing and advanced decision-making. However, social sciences research is facing advanced, complicated social challenges and problems. The focus of this study is to analyze the contribution of crowdsourcing techniques to the promotion of advanced social sciences research, exploiting open data available from the geographical positioning system (GPS) to analyze human behavior. In our study, we present the conceptual design of a device that, with the help of a global positioning system-data collection device (GPS-DCD), associates behavioral aspects of human life with place. The main contribution of this study is to integrate research in computer science and information systems with that in social science. The prototype system summarized in this work, proves the capacity of crowdsourcing and big data research to facilitate aggregation of microcontent related to human behavior toward improved quality of life and well-being in modern smart cities. Various ethical issues are also discussed to promote the scientific debate on this matter. Our study shows the capacity of emerging technologies to deal with social challenges. This kind of research will gain increased momentum in the future due to the availability of big data and new business models for social platforms.
Highlights
The advent of the internet, social media and web-based applications provide a challenging environment for the design of applications and services that support human activity in modern rural and urban areas
Our research study has a threefold objective: (i) to understand the feasibility and modern information and communication technologies to support the implementation of smart cities services that allow citizens to provide information about the behavior of other people towards better quality of life, increased security and safety; (ii) to set up a prototype for the further discussion of computing, social and ethical issues of crowdsourcing applications in the context of smart cities applications; and (iii) to elaborate on the recent development on big data, knowledge management and crowdsourcing technologies and their capacity and limitations for the provision of social impact
We must emphasize from the Introduction that our study presents empirical data and analysis related to a crowdsourcing prototype while the research phenomenon under study is extremely complicated and sophisticated
Summary
The advent of the internet, social media and web-based applications provide a challenging environment for the design of applications and services that support human activity in modern rural and urban areas. The aggregation and mining of data for meaningful value-adding services is a key trend. Within the bioresearch area of knowledge management in recent years, crowdsourcing refers to the generation of data from individuals and its exploitation for user-centric servicers. In the context of smart cities research this is a new area of interest. The exploitation of structured and unstructured data to understand human profiles and offer personalization services has been well documented. Social sciences research on human behavior has started to exploit these techniques
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