PANDAVA: Semantic and Reflexive Protocol for Interdisciplinary and Cognitive Knowledge Synthesis

TL;DR

PANDAVA is a novel interdisciplinary protocol that uses semantic and cognitive mapping to analyze scientific knowledge, helping researchers structure theories and generate new hypotheses across complex fields.

Contribution

It introduces the first interdisciplinary protocol combining semantic mapping, concept assessment, and hypothesis generation for knowledge synthesis.

Findings

Applied to abiogenesis hypotheses analysis

Structured theories of life's origin through integrated data

Enabled identification of strong and weak concepts

Abstract

Modern science faces the need to move from linear systematic review protocols to deeper cognitive navigation across fields of knowledge. In this context, the PANDAVA protocol (Protocol for Analysis and Navigation of Deep Argumentative and Valued Knowledge) is designed for analysing the semantic structures of scientific knowledge. It combines semantic mapping, assessment of concept maturity, clustering, and generation of new hypotheses. PANDAVA is interpreted as the first interdisciplinary protocol for knowledge systematization focused on semantic and cognitive mapping. The PANDAVA protocol integrates quantitative analysis methods with reflective procedures for comprehending the structure of knowledge and is applied in interdisciplinary, theoretically saturated fields where traditional models such as PRISMA prove insufficient. As an example, the protocol was applied to analyse the abiogenesis hypotheses. Modelling demonstrated how to structure theories of the origin of life through the integration of data on microlight, turbulent processes, and geochemical sources. PANDAVA enables researchers to identify strong and weak concepts, construct knowledge maps, and develop new hypotheses. Overall, PANDAVA represents a cognitively enriched tool for meaningful knowledge management, fostering the transition from the representation of facts to the design of new scientific paradigms.