Introduction

Resources

Summary

Ideas

Agile approach to research, with many small projects (POC), check up every 3-6 months, which can be integrated into larger projects. All with a general topic, one of the following:

  • Ensamble of models which output the certainty of their prediction, instead of the prediction
  • Tool for long range prediction (years) with CMIP data
  • Tool for socio-economic decision making with climate data (IPCC report)
    • Multi-modal forecaster using both climate and socio-economic data (ex. average income...)
  • Graph compression with GNNs, which can be used for data elaboration
  • Wildfire prediction/forecasting (with geo)
    • Drought prediction/forecasting (with geo)
    • add wind data and see expansion
    • add temperature data and see expansion
    • terrain type (forest, grassland, desert, crops, etc.)
      • could help type of crop decisions
    • US: (https://www.usgs.gov/news/data-release-combined-wildfire-datasets-united-states-and-certain-territories-1878-2019)
  • Flood prediction/forecasting (with geo)
    • Landslide prediction/forecasting (with geo)
    • type of terrain (rock, sand, etc.)
    • faglie
  • Earthquake prediction/forecasting (with geo)
    • Tsunami prediction/forecasting (with geo)
    • Volcano prediction/forecasting (with geo)

Useful Datasets

  • World Input-Output Database (WIOD)
  • Shared Socioeconomic Pathways (SSP)
  • World Bank Open Data
  • United Nations Development Programme (UNDP)
  • Global Burden of Disease (GBD)
  • Internal monetary fund (IMF)

https://www.climatechange.ai/events/iclr2024

https://deepmind.google/discover/blog/using-ai-to-fight-climate-change/