Invisible Asterisks uses machine learning to explore public datasets that reveal unexpected connections.

For the last few months we have been analyzing the Standford University DIme campaign finance dataset to uncover networks and possible overlooked leverage points for change in campaign finance to create a more equitable political system. The analysis combined machine learning, network analysis, and rhetorical analysis in concert to create several points of entry for people to understand the analysis.