# Tackling Climate Change with Machine Learning

## TL;DR

This paper discusses how machine learning can significantly aid in combating climate change by addressing key problems like emissions reduction and disaster management, highlighting opportunities for research and societal impact.

## Contribution

It identifies high-impact climate challenges where machine learning can be applied and provides recommendations for future research and collaboration.

## Key findings

- Machine learning can help reduce greenhouse gases.
- ML applications can improve disaster response.
- Opportunities for cross-disciplinary collaboration exist.

## Abstract

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. From smart grids to disaster management, we identify high impact problems where existing gaps can be filled by machine learning, in collaboration with other fields. Our recommendations encompass exciting research questions as well as promising business opportunities. We call on the machine learning community to join the global effort against climate change.