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Research Software & Open Resources

This page highlights research software, datasets, tools, and educational resources developed by researchers, students, and collaborators associated with our institution.

The projects remain hosted and maintained in their original repositories. Please refer to each repository for documentation, licensing, citation information, and contribution guidelines.


Computer Vision, Remote Sensing & Advanced Manufacturing


Urban Computing, Mobility & Location-Based Data

  • SLKit — R package for extracting and analyzing properties from multiple urban sensing layers. Maintained by @FdeFabricio

  • REAL-UP — Urban perception analysis from location-based social networks for real-estate applications. Maintained by @francessantos

  • Google Places Enricher — Tool for collecting and enriching Google Places data across geographic areas. Maintained by @FerGubert

  • Google Places Enricher 2.0 — Web-based version of Google Places Enricher with a user interface. Maintained by @diegookawa

  • CityBehavEx — LLM-assisted platform for city-scale urban behavior and mobility simulation. Maintained by @gefgu

Public Transportation Data


Natural Language Processing, Multimodal AI & LLMs


Social Computing, Networks & Online Polarization


About These Projects

These resources represent research and development conducted by members and collaborators of our institution across areas including:

  • Artificial Intelligence and Machine Learning
  • Computer Vision
  • Remote Sensing
  • Urban Computing and Human Mobility
  • Natural Language Processing
  • Multimodal and Large Language Models
  • Social Network Analysis
  • Online Social Behavior
  • Advanced Manufacturing
  • Data Science and Data Engineering

Repository ownership, licensing, maintenance status, and citation requirements may differ across projects. Please consult each project's repository for the corresponding information.

We encourage the publication of research code, datasets, documentation, and reproducible computational resources whenever possible.

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