Research theme

AI, Nature and Environmental Risk

The environmental footprint of AI infrastructure, and the measurement of nature-related financial risk that supervisors are beginning to ask about.

Key research areas

  • Where to site data centres: greenfield land against brownfield
  • Brownfield sites that themselves carry biodiversity value
  • Remote sensing and digital monitoring of ecological change
  • Making biodiversity risk measurable and environmental outcomes verifiable
  • Regional governance and the implementation of biodiversity policy

Submit on this theme

Extended abstracts on AI, Nature and Environmental Risk are welcome until 1 October 2026. Two to four pages excluding references, PDF, by email to joerg.osterrieder@utwente.nl.

Read the full call for papers