Governance theories offer a useful approach to policy by highlighting the need for multi-actor, multi-sectoral, and multi-level cooperation to deal with complex problems. Digitalisation, on the other hand, can be a means for managing networks, for helping to maintain the dynamics of...

This chapter explores the ethical, legal, and psychosocial challenges arising from the integration of artificial intelligence into emotionally responsive virtual environments such as the Metaverse. It addresses algorithmic bias, emotional manipulation, and biometric surveillance, especially in...

Artificial intelligence (AI) is transforming agriculture by enabling precision farming, predictive analytics, and automated decision-making, thereby enhancing productivity and sustainability. However, this rapid technological advancement raises complex policy and ethical challenges, particularly...

The circular economy (CE) is increasingly recognized as a transformative framework for fostering sustainable production and consumption. In this context, Artificial Intelligence (AI) is emerging as a key enabler for advancing both material systems and policy processes. This article investigates...

Governments worldwide face a complex landscape marked by short-term crises, long-term priorities, declining public trust, and the pressing need for environmental and digital transformation. Addressing these cross-cutting challenges requires governance systems that are capable of strategic...