Engineering Cyber Physical Human Systems Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT.The journal will place a high priority on timely publication, and provide a home for high quality:Full Research papersSurvey PapersOpen Software and DataTutorials and best practicesCase studiesWhitepapersFurthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT. Please submit your SI proposal for IOT through the Elsevier CSSI Portal. Detailed instructions could be found at: https://www.elsevier.com/physical-sciences-and-engineering/computer-science/journals/how-to-prepare-a-special-issue-proposalThe scope of IoT comprises four main blocks to cover the entire spectrum of the field. From Research to Technology, from Applications to their Consequences for life and society.Theory and fundamental research Research that addresses the core underlying scientific principles dealing with the analysis and algorithmics of "IoT ecosystem" as a multicomponent system with complex and dynamic dependences at large-scale, such as:New formal methods research to create abstractions, formalisms and semantics at IoT layer.Artificial Intelligence of Things (AIoT), Explainable Machine Learning for IoT, Intelligent Edge.Research on the unique IoT challenges in security, reliability and privacy.High-level policy languages for specifying permissible communication patterns.Software development, technology and engineering Key enabling IoT technologies related to sensors, actuators and machine intelligence. Development and deployment IoT tools and platforms to ensure security, reliability and efficiency, such as:Device software development, such as minimal operating systems.IoT in Cloud-to-thing-Continuum. Secure communication of IoT with other software layers from edge computing to the Cloud.IoT software designs, including addressing security at design phase.Best practices for IoT (software) development, test beds and quality assurance. Sensors and actuators; Remote Operations and Control; IoT and Digital Twins.Applications of IoT New Applications of connected products and/or connected business processes to create new business value and business models. We are looking for contributions, and lessons learned, from researchers applying IoT in various domains including but not limited to:Energy (smart grids, meters & appliances, renewable energy).Transportation and Critical Infrastructures (infrastructures, logistics, road and rail, shipping, aerospace, autonomous vehicles).Manufacturing & industry (smart design & smart manufacturing, advanced robotics; Robotic Process Automation).Business, marketing & finance (e-commerce, finance, advertising & media).Urban life (smart/cyber-cities, home automation, smart buildings).Behavioral Sciences, Well-being Society, Sustainable Digital Transformation.eLearning, Technology-Enhanced Learning, CSCL, Virtual Campuses, Education and Technology.Ecology (precision agriculture, dairy, fishing, wildlife management, water, climate & ecology).Medicine & healthcare (delivery & care systems, decision support, wearables).Nano IoT (personalized precision medicine, Biological IoT, Chemical IoT).Societal aspects of IoT Keeping humans in the loop is vital. Research in cyber-human systems that reflect human understanding and interaction with the physical world and (semi) autonomous systems.Societal, political and social impacts of the IoT.Ethics & (proposed) laws & regulations.IoT Governance.IoT Solutions for Pandemics, Disaster Management and Public Safety.Human Technology Interaction - at scale.Emerging standards and technology in human life.And, of course, hot issues, such as auditing, liability and social vulnerabilities.
Online Social Networks and Media (OSNEM) are one of the most disruptive communication platforms of the last 15 years with high socio-economic value. Nowadays, OSNEM are regularly used by billions of users to interact, and they are key platforms for (among others) content and opinion dissemination, social and professional networking, recommendations, scouting, alerting, and political campaigns. The use of social technologies has become a sweeping cultural, social and economic phenomenon. Social platforms can exploit the "cognitive surplus" of our society for creating content and support collaboration.Moreover, the widespread diffusion of mobile personal devices (smartphones and tablets) is boosting the pervasive use of OSNEM services, as well as fostering the design of novel social networking services where users' mobility is one of the key features. OSNEM, thus, represent a challenging environment for computer scientists working in academia and industry, to develop innovative ideas, fostering the design of the new generation of communication platforms and their services. The pervasive penetration of OSNEM in our lives is having very significant impacts also on the type of OSNEM services and, more in general, on societal services. The digital footprints that people leaves in OSNEM provide a unique source to investigate and understand (by exploiting data mining and machine learning techniques) people's behavior (e.g., mobility patterns, opinions and interests spreading), and human relationships in the society. OSNEM can thus become a (social) microscope for understanding the human behavior both in the cyber and in the physical world and hence can be a powerful tool for investigating societal phenomena (the epidemics spreading, the terrorist networks, the diffusion of opinions, the pulse of a city, etc.) and develop innovative services.OSNEM is a peer-reviewed international journal that publishes high-quality scientific articles (both theoretical and experimental) and survey papers covering all aspects of OSNEM: from OSNEM protocols and applications to the use of data mined from OSNEM for modeling and understanding the human behavior in the cyber-physical world. It is a multidisciplinary journal for the wide community of computer and network scientists working on developing OSNEM platforms and services and using OSNEM as a big data source to mine, learn and model the (online) human behavior. The journal also welcomes contributions applying a wide range of (computer- and network-science) techniques and tools to OSNEM for investigating how social relationships affect other scientific fields, e.g., social and political sciences, economic and financial sciences, medical sciences.Topics include, but are not limited to:OSNEM platforms, protocols and applications;Decentralized, mobile and location-based OSNEM;Trust, reputation, privacy and security in OSNEM;Dynamics of trends, information and opinion diffusion in OSNEM;Recommendations and advertising in OSNEM;Measurement, analysis and modeling of popular online social networks (Facebook, Twitter, Instagram, Flickr, etc.);Data mining, and machine learning in OSNEM systems;Social media analysis and social analytics;Information extraction and search in OSNEM;Complex-network analysis of OSNEM;Measurement, analysis and modeling of social behavior through OSNEM data;Analysis of the use of OSNEM in the urban context;Crowdsourcing and online social networks;Multidisciplinary applications of OSNEM (economics, medicine, society, politics, homeland security, etc.).
