Circularity Principles in Crowdsourced Systems

Abstract

High adoption rates of handheld smart devices, such as smartphones, have motivated the rise of crowdsensing methodologies. The corresponding crowdsourced systemssystems whose constituent infrastructure is provided or augmented by the end-users -have been proven very efficient and scalable systems for collecting data from the crowd. However, successfully and sustainably engaging the crowd introduces costs in the form of incentives. Also, the fragmented landscape of crowdsensing applications aggravates the problem of dark data. In this work we address this problem with the introduction of a reference framework for crowdsourced systems that entails circularity principles. Derived from recent developments in Circular Economy, the circularity principles enable the development of crowdsourced systems that are circular by design, by sharing and re-using already existing resources and data. We exemplify the use of the framework via an example use case.

Towards Industry 5.0 and Digital Circular Economy: Current Research and Application Trends

“…Studying the functionalities that accompany Digital CE models, we researched the impact and roles of Digital Technologies in terms of their utility on the corresponding features. We provide Table III with the main technologies supporting CE models, considering the ones seen in [18], [19], and [20]. V. INDICATIVE REQUIREMENTS In this section, we discuss the required sustainable functionalities and components required for Digital CE models, as they are essential for understanding their operational concept and fundamental requirements.…”

“…d) Smart Reuse: Assisting data-driven CE models by reusing data for updating, improving and further developing sustainable processes and tasks, on production and supply chains for costs and resources management, and energy efficiency [18].…”