Four Logics Data

This dataset provides the underlying data, calculations, and visual components necessary to replicate and extend the findings presented in the article "Four Logics of Governance: A Framework for Collective Decision-Making in Complex Systems" (Do Vale & Costa, 2025).

The article proposes an integrated analytical framework for studying collective decision-making in governance, combining four adaptive macro-level belief systems (Political, Economic, Scientific, and Moral-Ethical) with network topology analysis. The framework identifies four emergent governance dynamics: Systemic Rigidity, Systemic Fragility, Negotiated Stability, and Elasticity.

This dataset has five files: Supplementary_Table_S1; Supplementary_Table_S2; Supplementary_Table_S3; Supplementary_Figure_S1; Supplementary_Figures_S2_IV_Appendix.

These files are organized in three folders:

- Multi-Criteria Decision Analysis (MCDA) Folder: This folder contains the quantitative backbone of the framework, specifically the raw data, calculations, and sensitivity analyses used to determine the relative influence (weights) of the four governance logics (Political, Economic, Scientific, and Moral-Ethical) across the studied cases. Researchers can use these files to reproduce the weighting process detailed in Appendix I of the paper and to recreate the visual representations of the system dynamics, including the attractor landscapes presented in Figure 3 and the Logics weightings summarized in Table 2. FILES IN THE FOLDER: "Supplementary_Table_S2" and "Supplementary_Figure_S1"

- Network Diagrams Folder: This folder provides data on the structural analysis of the governance system topology. It includes the quantitative output for the network analysis. The data is relevant for replicating the network properties listed in Table 1 and the information provided in Appendix IV. These files allow for the verification of how institutional topology and network structure mediate the Four Logics. FILES IN THE FOLDER: "Supplementary_Table_S1" and "Supplementary_Figures_S2_IV_Appendix"

- Case Studies Folder: This folder contains the synthesized data derived from the literature review on the five historical crises examined in the article (Chernobyl Nuclear Accident, the Partition of India, the Ethiopian Famine, the War on Terror, and COVID-19). This data serves as the foundation for detailing the initial variables, actor preferences, and observed institutional configurations that informed the MCDA and network modeling for each case. FILE IN THE FOLDER: "Supplementary_Table_S3"

The files in the MCDA folder allow users to reproduce the Logic weighting process. The data in the Network Diagrams folder can be used in conjunction with standard network analysis software (e.g., Gephi, R with igraph) to verify the network properties and centrality measures reported in the paper. The Case Studies files provide the structured qualitative input for those seeking to apply the framework to new cases.