Created at the IBM Research with Irene Ros. Many Bills was a web based visualization of congressional legislation, that ran from 2010-2012, with the goal of making long complex documents like legislation more digestible by to readers.
Combining machine learning with visualization, Many Bills provided a visualization and user interface to browse and read through collection of US Congressional bills (proposed laws) as well as communicate interesting findings to others.
Special thanks to Martin Wattenberg, Fernanda Viegas, Matt Mckeon & Joan DiMicco.
Detecting outlier sections in us congressional legislation
SIGIR 2011
Many Bills: Visualizing the Anatomy of Congressional Legislation
AAAI-11 Workshop on Scalable Integration of Analytics and Visualization 2011
Many bills: engaging citizens through visualizations of congressional legislation.
CHI 2011