WP-J-L01-001 — Future Research Frontiers concludes the first foundational Working Paper series of the IDHUS Institute’s Institutional Cognition Research Programme by identifying the principal scientific horizons that emerge following the establishment of Institutional Cognition as a coherent scientific discipline. Rather than extending the theoretical foundations developed throughout Research Line L01, this Working Paper examines the new research questions that become possible once institutions are understood as cognitive systems capable of distributed learning, adaptive reasoning and recursive evolution.
In the paper we argue that the completion of the first research cycle represents not the conclusion of a theoretical project but the constitutional beginning of a long-term scientific enterprise. Building upon the conceptual architecture established throughout the previous Working Papers, we explore future directions including second-generation cognitive institutions, autonomous institutional cognition, Artificial Scientific Intelligence for governance, Human–AI civilisational intelligence, planetary cognitive infrastructures, Constitutional Artificial Intelligence, recursive scientific ecosystems, governance beyond the nation state, institutional cognition across multiple civilisations, experimental civilisation design, cognitive democracy, governance under existential uncertainty and the ethics of institutional intelligence.
Throughout the paper, these emerging domains are presented not as speculative technological forecasts but as logically necessary research frontiers arising from the General Theory of Institutional Cognition. Particular emphasis is placed upon the recursive nature of scientific development, recognising that every mature discipline ultimately generates increasingly sophisticated questions rather than definitive conclusions. Consequently, the Working Paper positions Institutional Cognition as an evolving scientific framework capable of integrating governance studies, systems science, constitutional theory, artificial intelligence, complexity science and public administration within a common architecture of institutional intelligence.
The document concludes by proposing that future Research Lines should progressively expand towards a broader General Science of Institutional Intelligence dedicated to understanding how institutions generate, coordinate and continuously develop collective intelligence across organisational, societal and planetary scales. In doing so, the Working Paper functions simultaneously as the conclusion of Research Line L01 and as the intellectual bridge towards the next generation of the Institutional Cognition Research Programme.