Using sustainability insights to help strengthen IT security

This White Paper—intended for policymakers, regulators, and other key stakeholders, such as employers, trade unions—outlines key regulatory, governance, and ethics considerations surrounding smart rob...

Wind farms are critical cyberphysical infrastructures that require robust security measures to withstand cyber threats. This paper simulates real-world cyber-attack scenarios that target wind turbine ...

Contemporary smart homes fail to address the built environment’s climate crisis contribution, being trapped in a mechanistic paradigm that decouples intelligence from the body, marginalises its human occupants, and elevates passive consumption over regeneration. We explore a novel conceptual framework—the Cyberphysical Living System (CPLS) that rethinks smart home ontologies by synthesising metabolic theory, cybernetics, and semantic architectures into a hybrid human–intelligent system, asking: what would it mean to design a home that metabolises rather than consumes? Grounded in validated bioelectrochemical and AI technologies, this model envisions the home as an ecosystem of actors in tripartite symbiosis: a metabolic 'gut' (integrated bioreactors), an explainable cognitive ‘brain’ (a cognitive digital twin), and human occupants. Central to this vision is a proposed hybrid ontology—a semantic framework that bridges architecture and computer science that translates architectural metabolic design patterns (codified biological design principles) into a machine-readable format, which could enable AI to adapt to dynamic biological processes and human activities beyond data monitoring. We outline a metabolic-based methodology centred on hybrid human–AI systems. Exploring its societal implications, we also consider redefining comfort as metabolic security, transforming occupants into literate stewards, and repositioning the home as a regenerative and productive asset. We conclude the future of sustainable dwelling may lie in cultivating living architectural metabolisms—which could re-embed human life within the living world's regenerative logic. The paper’s original contribution lies in synthesising metabolic architecture with hybrid AI systems through a proposed hybrid ontology, offering a new conceptual foundation for human-centred, regenerative design.