The Algorithm-Assisted Redistricting Methodology (ALARM) Project

Developing methodology and tools to analyze legislative redistricting.

The Project

ALARM logo The ALARM Project is a research team at Harvard University led by Kosuke Imai. It conducts research into redistricting sampling algorithms, best practices and workflows for redistricting analysis, and tools to visualize, explore, and understand redistricting plans. ALARM Project researchers develop redist, an open-source R package for redistricting simulation and analysis which implements state-of-the-art MCMC and SMC redistricting sampling algorithms. The package allows for the implementation of various constraints in the redistricting process such as geographic compactness and population parity requirements, and includes tools to compute various summary statistics and create useful plots.


Current Membership

Project Alumni


Related R Packages