The Data-Driven Built Environment Research Group is supported by a comprehensive set of digital tools, software platforms, and technical resources that enable advanced analysis, simulation, and visualization of the built environment. These resources support both fundamental research and applied, interdisciplinary investigations, while also contributing to pedagogical innovation and capacity building.

1.       Computational Design and Modeling Tools

These tools support the generation, analysis, and evaluation of architectural and urban form across multiple scales.

• Building Information Modeling (BIM)
  Autodesk Revit for integrated architectural modeling, documentation, and data management.
• Parametric and Algorithmic Design Tools
  Grasshopper and Dynamo for rule-based modeling, generative design exploration, and integration with performance data.
• Computational Geometry and Morphological Analysis
  Rhinoceros 3D and custom scripting environments for spatial logic, formal analysis, and morphological comparison.

2.       Data Analytics and Artificial Intelligence

These resources enable data-driven analysis, pattern recognition, and predictive modeling in architectural, urban, and heritage contexts.

• Statistical and Quantitative Analysis Software
  SPSS, R, and Python-based analytical environments for empirical analysis, hypothesis testing, and multivariate modeling.
• Machine Learning and AI Frameworks
  Python libraries such as TensorFlow, PyTorch, and Scikit-learn for spatial pattern recognition, classification, and predictive analytics.

3.       Spatial Analysis and Urban Systems

These tools support the study of spatial configuration, movement patterns, and urban-scale dynamics.

• Geographic Information Systems (GIS)
  ArcGIS and QGIS for spatial data management, mapping, and urban-scale analysis.
• Space Syntax and Agent-Based Modeling
  DepthmapX and agent-based simulation platforms for analyzing accessibility, visibility, and pedestrian behavior.
• Multi-Criteria Decision Analysis (MCDA)
  Decision-support software for evaluating complex planning, heritage, and tourism scenarios.

4.       Environmental Performance and Simulation

These resources enable the evaluation of building and urban performance under varying environmental and operational conditions.

• Building Performance Simulation Tools
  Autodesk Insights, Autodesk Forma, Ladybug Tools, EnergyPlus, and DesignBuilder for energy, daylighting, thermal comfort, and microclimatic analysis.

5.       Immersive Technologies and Visualization

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These tools enable experiential evaluation, simulation, and communication of spatial data.

• Virtual and Augmented Reality Platforms
  Unity, Unreal Engine, and VR/AR headsets for immersive design evaluation and data visualization.
  

Key software tools employed in our research activities:​

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