Philosophical and Methodological Foundations of Policy Labs; from Critical Realism and Retroduction to Complexity-Oriented Policy-Making

Document Type : Original Article

Authors

1 Assistant Professor, Social Development Research Department, ACECR, Tehran, Iran

2 Assistant Professor, Institute For Humanities and Social Studies (IHSS), Department of Social Psychology, Tehran, Iran.

10.22034/jstp.2026.12170.1979

Abstract

Over the past three decades, the policy lab has emerged as a novel approach in public policy, signaling paradigm-like shift in the ontological, epistemological, and methodological foundations of policymaking. The core question of this article is to explicate the epistemic and methodological logic of policy labs and to examine their theoretical contribution to the transition from linear policymaking toward adaptive and learning-oriented governance under conditions of social complexity. Ontologically, policy labs draw on critical realism and a layered understanding of social reality in which hidden, multi-level causal mechanisms shape actors’ behavior and policy outcomes. Epistemologically, they rely on Retroduction and innovation, treating data as indicators of underlying generative mechanisms rather than endpoints of knowledge. Methodologically, policy labs integrate system dynamics modelling, agent-based simulation, network analysis, and causal evaluation to test and refine policy options prior to wider implementation. The analytical findings suggest that policy labs can overcome the limitations of the three dominant traditions—positivism, interpretivism, and pragmatism—and enable the establishment of adaptive and learning governance. The article concludes that institutionalizing such a paradigm requires a robust theoretical foundation, data-driven infrastructures, and trust-building institutional arrangements—an imperative that becomes even more critical for countries like Iran with high levels of social complexity.

Keywords

Main Subjects

Files

Share

How to cite

Statistics