AIOTI WG Research and Partnerships has published its Strategic Research and Innovation Agenda (SRIA). The full document can be found here.
AIOTI SRIA aims both at identifying key Internet of Things (IoT) and edge computing technologies and applications research priorities and at providing a vision on how the future of the IoT domain will look like, up until the 2030 timeframe.
The AIOTI SRIA is a roadmap (2023-2030) for future IoT and edge computing research and innovation actions in Europe, proposing specific themes, sub-themes, and priorities, which help identifying gaps and areas where research and innovation advancements are most needed.
The identified research priorities form the reference for concrete actions to be implemented in different research programmes by various stakeholders, such as industry, researchers, small-and-medium enterprises, academia, entrepreneurs, the public sector, and the overall society.
The SRIA delivers a direct contribution in aligning with the United Nations Sustainable Development Goals (SDG) needs and the European Green Deal objectives, while developing international cooperation to solve global challenges using IoT and cloud computing technologies.
The research and innovation efforts in IoT and edge computing require to be based on a long-term programming approach that provides continuity across technology and applications efforts over several years. The AIOTI SRIA introduces a mission-oriented research and innovation approach that answers societal and market needs, maintains, and extends industrial leadership, protects the environment, ensures security, privacy, safety, and energy efficiency solutions, while prioritising research and innovation capabilities and education.
The AIOTI SRIA addresses research and innovation priorities for future IoT and edge computing technologies and applications that will drive changes across industrial sectors, the European economy, and society. The priorities include convergence with next-generation Tactile IoT, decentralised and distributed architectures, IoT knowledge-driven edge processing, artificial intelligence (AI) and trustworthiness.
The IoT and edge computing technologies have evolved rapidly in addressing the grand challenge of developing human centred IoT technologies and applications, which require increased communication and coordination amongst policy makers, end-users, and experts in the IoT and edge computing fields.
The extensive use of IoT and edge computing in different industrial sectors and the move from cloud to edge processing must be accompanied by new distributed architectures and end-to-end (E2E) IoT security. The convergence of connectivity, IoT, edge computing, AI, and Distributed Ledger Technologies (DLT) will be essential to next-generation Internet applications and advancements.
The topics presented in the AIOTI SRIA are aligned with the issues addressed by other European partnerships to improve the European IoT ecosystem’s sustainability and manage human well-being, particularly for developing safe, secure, and trustworthy IoT and edge computing technologies.