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Environmental AI

Machine learning and AI methods applied to environmental questions.

Connected Projects

  • AI for Natural Methane: Harmonizing natural methane datasets and discovery workflows with AI.
  • AI in a Day: Cohort 3 working group exploring AI-enabled environmental synthesis and practical AI workflows for science.
  • EdgeSS: Sensor Synthesis at the Edge: Integrating real-time environmental sensor data, edge computing, and AI for scalable environmental insight.
  • HDR-ML Hackathon 2026: Hands-on machine learning collaboration around environmental datasets.
  • Hermes Container: An AI-enabled scientific workspace providing integrated development environments, assistants, and reproducible research tools for environmental synthesis.
  • Innovation Summit 2026: AI for sustainability and environmental data-to-decision exchange.
  • OpenClaw Container: A multi-agent scientific workspace combining repositories, files, AI assistants, and environmental data science workflows within a shared synthesis environment.
  • Spectral Diversity and Ecosystem Functioning: Exploring how spectral diversity can inform ecosystem function and environmental synthesis.

Repositories

Websites

People

  • ESIIL Staff
  • Working Group Community

Datasets

  • ESIIL Shared Datasets
  • Natural Methane Datasets

Outputs

  • AI-enabled workspace
  • container documentation
  • event programming
  • event repository
  • harmonized workflows
  • project website
  • summit website
  • training materials
  • working group repository