• Participatory sensing, crowdsourcing, and citizen science
• Architectures, protocols, and enabling technologies for collaborative computing networks and systems
• Autonomic computing and quality of services in collaborative networks, systems, and applications
• Collaboration in pervasive and cloud computing environments
• Collaboration in data-intensive scientific discovery
• Collaboration in social media
• Big data and spatio-temporal data in collaborative environments/systems
• Collaboration techniques in data-intensive computing and cloud computing
• Collaborative e-education, e-learning, and collaborative computing in large scale digital libraries
• Collaboration in health-care environments
• Collaborative information seeking
• Collaborative mobile networks and infrastructures
• Collaborative technologies for fast creation and deployment of new mobile services
• Collaborative sensor networks, unmanned air and ground vehicle networks and applications
• Collaborative, context-aware infrastructure
• Collaborative, location-aware mobile systems/applications
• Computer supported collaborative work with distributed systems
• Cyber-physical systems
• Distributed collaborative workflows
• Data management and middleware support for collaborative information systems
• Energy management for collaborative networks
• Group-driven composition of systems from components
• Human-centric ubiquitous collaboration
• Human-robot collaboration
• Internet of Things (IoT) and collaboration
• Methodologies and tools for design and analysis of collaborative user applications
• Models and mechanisms for real-time collaboration
• Multi-agent technology and software technologies for collaborative networking and applications
• Peer-to-peer and overlay networks, systems, and applications
• Security, privacy and trust management in collaborative networks, systems, and applications
• Simulation, performance evaluation, experiments, and case studies of collaborative networks and applications
• Software design, testing, and experimentation technology for collaborative networking and applications
• Theoretical foundations and algorithms for collaborative networks, applications, and worksharing
• Tools for collaborative decision making processes
• Trustworthy collaborative business processing in virtual organizations
• Visualization techniques, interaction devices and visual languages for collaborative networks and applications
• Web services technologies and service-oriented architectures for collaborative networking and applications
• Workflow management for collaborative networks/systems

Over the last two decades, many organizations and individuals have relied on electronic collaboration between distributed teams of humans, computer applications, and/or autonomous robots to achieve higher productivity and produce joint products that would have been impossible to develop without the contributions of multiple collaborators. Technology has evolved from standalone tools, to open systems supporting collaboration in multi-organizational settings, and from general-purpose tools to specialized collaboration grids. Future collaboration solutions that fully realize the promises of electronic collaboration require advancements in networking, technology and systems, user interfaces and interaction paradigms, and interoperation with application-specific components and tools.

The 14th International Conference on Collaborative Computing (CollaborateCom 2018) will be held in Shanghai, People’s Republic of China, and will continue to serve as a premier international forum for discussion among academic and industrial researchers, practitioners, and students interested in collaborative networking, technology and systems, and applications.

This event is organized by EAI.

EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower the global research and innovation, and to promote cooperation between European and International ICT communities.

EAI’s vision is to foster excellence in research and innovation on the principles of transparency, objectivity, equality, and openness. Our guiding principle is community cooperation to create better research, provide fair recognition of excellence and transform best ideas into commercial value proposition.

EAI‘s mission is to create an environment that rewards excellence transparently, and builds recognition objectively regardless of age, economic status or country of origin, where no membership fees or closed door committees stand in the way of your research career.

Through these shared values, EAI leads the way toward advancing the world of research and innovation, empowering individuals and institutions for the good of society to fully benefit from the digital revolution.