Climate change is one of the greatest problems society has ever faced, with increasingly severe consequences for humanity as natural disasters multiply, sea levels rise, and ecosystems falter. Since climate change is a complex issue, action takes many forms, from designing smart electric grids to tracking greenhouse gas emissions through satellite imagery. While no silver bullet, machine learning can be an invaluable tool in fighting climate change via a wide array of applications and techniques. These applications require algorithmic innovations in machine learning and close collaboration with diverse fields and practitioners.
- Ensure git is installed
- Ensure ruby is installed
- Ensure bundler is installed for downloading Ruby dependencies (run
gem install bundler
if not) - Clone this repository and
cd
into it (e.g.git clone https://github.com/climatechange-ai/climatechange_ai.git && cd climatechange_ai
) - Run
git submodule update --init --recursive
to get additional files stored in a Git submodule - Run
bundle install
to install Ruby library dependencies - Run
bundle exec jekyll serve
to build and locally serve the site, wait ~20 seconds - Visit
localhost:4000
in your web browser to test out the site locally! - Make any changes to files you want to test, then wait for the site to rebuild (should take ~10 seconds for each change)