Assessment of Knowledge Synthesis with Methodological Pluralism in Technology Assessment Exercises

Abstract

The rapid development of complex emerging technologies demands robust evaluation frameworks capable of integrating diverse streams of evidence. This paper investigates the efficacy of methodological pluralism in technology assessment exercises, focusing specifically on how decision-makers and policy analysts synthesize knowledge when presented with multi-methodological evaluation reports. Through a large-scale survey experiment involving professionals in technology policy and assessment, this study manipulates the methodological composition of hypothetical technology assessment briefings to observe variations in knowledge synthesis, perceived credibility, and actionable insights. The findings reveal that pluralistic approaches, which deliberately combine qualitative foresight exercises with quantitative risk analyses, significantly enhance the cognitive integration of complex technical information compared to monistic methodological designs. Participants exposed to pluralistic treatments demonstrated a higher capacity to identify systemic risks and articulate nuanced policy trade-offs. Furthermore, the synthesis of disparate knowledge domains was found to be mediated by the structural coherence of the assessment exercise. This research contributes empirical evidence to the theoretical discourse on methodological diversity, demonstrating that structured pluralism not only broadens the evidentiary base but fundamentally improves the quality of knowledge synthesis in technological governance.