SWAY climate

How did Donald Trump win the presidency? He targeted a tiny minority of undecided voters and focused a huge amount of effort on swaying that tiny minority to vote for him. Our tool, Sway, applies this logic in combination with machine learning to shift climate politics at the federal level, before it’s too late.

We gather data on voting records from thousands of bills from Pro-Publica's API, then apply machine learning techniques to identify the most swayable Congressional representatives. Then, we visualize this data so that voters can concentrate their efforts on the representatives who are most likely to evolve from a climate denier into a climate hawk.

Built With

  • html
  • jupyter-notebook
  • python
  • principal-component-analysis
  • machine-learing
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