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

This dataset supports the manuscript “Federated Architectures for Ethical and Interoperable Smart City Governance…” submitted to the Journal of Urban Technology. 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