Improving species biodiversity analyses and citizen science feedback through mining data – SPEEDMIND


  • Dr. Niklaus E. Zimmermann (WSL)


Ten thousands of records for species every month from citizen scientists. No feedback. No possibility of learning from this data yet.


  • Setting up an interface that integrates input from citizen science, earth observations (e.g remote sensing), and species distribution modelling.
  • Integration of deep learning to find hidden patterns between species (e.g. biotic interactions).


  • New possibility to model species distributions.
  • Important assessment of uncertainties possible.
  • Better feedback to citizen scientist.
  • Better coordination of conservation efforts.