High level overview of how different areas of machine learning can solve problem in different scientific areas/industries to help the fight against climate change

  • Main way to look at is to reduce Green house gas (GHG) emissions
  • Broken down into mitigation, adaptation, and tools for action
  • Mitigation organized by industries where different ML fields can contribute
  • Solutions categorized into
    • high leverage: bottlenecks in climate change mitigation that are well-suited to ML
    • long term: solutions with impact after 2040
    • high risk: risky in terms of uncertain tech, impact on GHG emissions unclear, potential for negative externalities

Mitigation

Electricity systems

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