FISC-AF: Federated Interoperable Smart-City Architecture Framework – Simulation Data, Traceability Matrices and Evaluation Results for Loja, Ecuador

It contains the complete simulation data, traceability matrices, and evaluation results for the Federated Interoperable Smart-City Architecture Framework (FISC-AF). Contents: -High-fidelity hybrid discrete-event and agent-based simulation models (AnyLogic v.8.8) for mobility, energy, and public safety domains in Loja, Ecuador 10,000 Monte Carlo runs per scenario with 95% confidence intervals -Full KPI results (baseline vs. FISC-AF) including equity-weighted metrics for peripheral neighbourhoods - Complete traceability matrices mapping FISC-AF to TOGAF 10th Edition ADM, ISO/IEC/IEEE 42010:2022 viewpoints, and ISO/IEC 42001:2023 AI management system controls - Expert validation scores (16 TOGAF-certified architects + municipal leads) - Simulation assumptions, cross-validation statistics (MAPE, RMSE, R²), and sensitivity analysis Purpose: Enable full reproducibility of the Design Science Research evaluation and support adoption of FISC-AF by other mid-sized municipalities in the Global South.

Software required: AnyLogic 8.8 (or higher), Microsoft Excel / LibreOffice Calc, and a standard PDF reader. The dataset is linked to the associated research article on federated enterprise architecture, ethical AI governance, and digital-divide mitigation in resource-constrained urban contexts. Keywords: federated enterprise architecture, smart city interoperability, ISO/IEC 42001 AI governance, TOGAF 10th Edition, digital divide mitigation, design science research, AnyLogic simulation, Monte Carlo methods, Loja Ecuador, ethical AI governance, urban equity, NIST IES-City PPIs