4 papers
Redistricting from the Bottom Up: Sampling Communities of Interest with Differential Privacy
Atticus McWhorter, Caroline Hammond, Nianqiao Phyllis Ju +1
Independent Redistricting Commissions (IRCs) are a promising tool for bottom-up redistricting, but their public testimony processes are vulnerable to adversarial manipulation. We p…
Reinforcement Learning Dynamics of Network Vaccination and Hysteresis: A Double-Edged Sword for Addressing Vaccine Hesitancy
Atticus McWhorter, Feng Fu
Mass vaccination remains a long-lasting challenge for disease control and prevention with upticks in vaccine hesitancy worldwide. Here, we introduce an experience-based learning (Q…
The Marked Edge Walk: A Novel MCMC Algorithm for Sampling of Graph Partitions
Atticus McWhorter, Daryl DeFord
Novel Markov Chain Monte Carlo (MCMC) methods have enabled the generation of large ensembles of redistricting plans through graph partitioning. However, existing algorithms such as…
Free Elections in the Free State: Ensemble Analysis of Redistricting in New Hampshire
Atticus McWhorter, Daryl DeFord
The process of legislative redistricting in New Hampshire, along with many other states across the country, was particularly contentious during the 2020 census cycle. In this paper…