ABSTRACT
In March 2020, due to the pandemic linked to the COVID-19 virus spreading, all in-person teaching activities planned at the University of Salerno were suspended. This sudden suspension has forced the academic world to rethink in a short time the didactics and to modify teaching styles and approaches, especially in those courses in which laboratory activities were planned. This article will be presented the experiences made in the Computer Networks and Protocols for the Internet of Things (IoT) course. The course includes a significant laboratory component where students must put into practice what they learned during the theoretical lessons. In particular, the laboratory exercises involve using specific equipment and devices that can build digital ecosystems for the control and management of well-defined operational contexts difficult to reproduce virtually. Therefore, to give continuity to the didactic activity, it was necessary to redesign the entire exercise system preserving the original educational objectives.
ABSTRACT
The global health system has been strongly impacted by the events caused by the Covid-19 pandemic, highlighting and amplifying several critical issues. To contrast a global pandemic, it is necessary to have tools that can offer an integral vision of the situation to act in a timely manner on any possible case. In this regard, technologies based on decentralized systems, such as Blockchain, can be helpful, as they are global, real-time, and can be implemented to respect people's privacy. This work aims to investigate the use of decentralized networks to develop a system that can solve the problem of management and collaborative analysis of sensitive data. A general framework has been proposed that is mainly dedicated to healthcare organizations, such as hospitals and research centres, which first had to face the difficult situation caused by the Covid-19 pandemic. It has been highlighted how decentralized systems can effectively improve communications between these entities, promoting the fair exchange of knowledge in real-time without compromising citizens’ privacy. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
The pandemic due to Covid-19 has highlighted and sometimes amplified some critical issues affecting the global health system. From the beginning, it was clear that having an overview of the pandemic situation was one of the main objectives to be achieved to fight the Virus. In this sense, technologies based on decentralized systems, such as Blockchain, can be effective in collecting data since they can store information in a secure and scalable way while respecting people's privacy. This work aims to propose a framework based entirely on decentralized systems that can solve management and collaborative analysis of sensitive data, such as those related to the Coronavirus pandemic. In particular, the model is proposed as a tool to improve the efficiency of all those organizations that have found themselves on the front line to deal with the spread of the Virus in the world, such as hospitals and research institutes. In addition, it aims to improve communications between organizations at the global level to facilitate a fair and profitable exchange of knowledge to fight the pandemic. Copyright © 2021 for this paper by its authors.