Connected Everything II: Accelerating Digital Manufacturing Research Collaboration and Innovation

The Connected Everything II (CEII) Network Plus will deliver a network of networks which will accelerate multi-disciplinary collaboration, foster new collaborations between industry and academia and tackle emerging challenges which will underpin the UK academic community's research in support of people, technologies, products and systems for digital manufacturing. Through a range of activities, including feasibility studies, networking, and thematic research, CEII will bring together new teams within a multidisciplinary community to explore new ideas, demonstrate novel technologies in the context of digital manufacturing, and accelerate impact of research into industry.

The Network is inspired by the context of the four tenets of Industry 4.0: Interoperability; Information Transparency; Cognitive and Physical Assistance; and Decentralised Decisions and Actions. It will enable the multidisciplinary community to consider cross-cutting themes, some of which will emerge during the lifetime of the Network, but others - Creativity; Data-rich sociotechnical systems; and Regulation - which have been co-created by the industrial and academic members of the Network management team.

The CEII Network Plus aligns with a National and International priority of Digital Manufacturing, as highlighted in the Made Smarter report. It will contribute to the delivery of a Connected Nation, through consideration of how advances in digital technologies which connect objects and data in future, distributed manufacturing systems. It will contribute to a Productive Nation, through development of demonstrator projects that take concepts from other domains and apply them to Digital Manufacturing, as well as a range of activities which will support the development of future leaders.

Publications and outputs

Sensors | Free Full-Text | AI-Assisted Cotton Grading: Active and Semi-Supervised Learning to Reduce the Image-Labelling Burden (

An image processing and machine learning solution to automate Egyptian cotton lint grading - Oliver J Fisher, Ahmed Rady, Aly AA El-Banna, Nicholas J Watson, Haitham H Emaish, 2023 (

Frontiers | Intelligent Sensors for Sustainable Food and Drink Manufacturing (

The Equality, Diversity and Inclusion Cards – Introduction and Work in Progress | Proceedings of the First International Symposium on Trustworthy Autonomous Systems (

Reflections on an EDI Survey of UK-Government-Funded Research Net...: Ingenta Connect

Digital transformation and the circular economy: Creating a competitive advantage from the transition towards Net Zero Manufacturing - ScienceDirect

Project website