📡 EEL: Events in Context Library

An event represents any occurrence of interest at a specific point in space and time. 📡 Events in Context Library is a community-driven knowledge base designed to explore event data within their historical, societal, and environmental contexts. Complemented by the literature review Neural Spatio-Temporal Point Processes, this project takes a practical, hands-on approach to analyzing and understanding spatio-temporal event patterns.

Content

  1. 🔴 Tutorials: Introductory material on spatio-temporal event modeling, covering neural point processes, intensity estimation, and simulation. Suitable for building practical foundations.
  2. 🟠 Websites: Links to external resources with datasets, code, and academic projects on event prediction and spatio-temporal modeling.
  3. 🟡 Tools: Software libraries, notebooks, and platforms for data preprocessing, model fitting, and visualization in spatio-temporal analysis.
  4. 🟢 Datasets: Curated datasets on crime, conflict, protests, and humanitarian events, with rich temporal and geographic detail for event prediction and public safety research.
  5. 🔵 Conferences and Journals: Key venues for publishing and tracking research in spatial statistics, GIS, and spatio-temporal modeling.
  6. 🟣 Notable Papers and Methods: Influential works on neural temporal point processes and spatio-temporal statistics, highlighting key models and empirical studies.

Mission and Scope

Our mission is to lower entrance barriers and improve the quality of benchmarks in event data analysis. We aim to create a comprehensive resource for researchers and practitioners to access tutorials, datasets, tools, and literature in the field.

📚 Join the Conversation

Visit the Space‑Time Causality Reading Group for regular paper discussions and community meet‑ups.

🤝 Contribute

We welcome contributions!

  • Add a YAML file under data/Yaml_files/ (one item per file).
  • Follow the schema in Contribute (required fields, subsections, examples).
  • (If adding an image) place a thumbnail in assets/images/thumb/ and reference it in Image.
  • Open a Pull Request; the site auto-builds from YAML after merge.
  • Prefer PRs; if needed, open an Issue and paste your YAML in a fenced code block.

If you want to report a problem, please open an Issue on GitHub.

Funding

This work was funded by the Bundesministerium für Bildung und Forschung (BMBF) under Grant 01IW23005 and is part of the eventful project.