bibliography.bib

@article{LocalView,
	title = {{LocalView}, a database of public meetings for the study of local politics and policy-making in the {United} {States}},
	volume = {10},
	issn = {2052-4463},
	url = {https://doi.org/10.1038/s41597-023-02044-y},
	doi = {10.1038/s41597-023-02044-y},
	abstract = {Despite the fundamental importance of American local governments for service provision in areas like education and public health, local policy-making remains difficult and expensive to study at scale due to a lack of centralized data. This article introduces LocalView, the largest existing dataset of real-time local government public meetings–the central policy-making process in local government. In sum, the dataset currently covers 139,616 videos and their corresponding textual and audio transcripts of local government meetings publicly uploaded to YouTube–the world’s largest public video-sharing website–from 1,012 places and 2,861 distinct governments across the United States between 2006–2022. The data are processed, downloaded, cleaned, and publicly disseminated (at localview.net) for analysis across places and over time. We validate this dataset using a variety of methods and demonstrate how it can be used to map local governments’ attention to policy areas of interest. Finally, we discuss how LocalView may be used by journalists, academics, and other users for understanding how local communities deliberate crucial policy questions on topics including climate change, public health, and immigration.},
	number = {1},
	journal = {Scientific Data},
	author = {Barari, Soubhik and Simko, Tyler},
	month = mar,
	year = {2023},
	pages = {135},
}

@article{50statesSimulations,
	title = {Simulated redistricting plans for the analysis and evaluation of redistricting in the {United} {States}},
	volume = {9},
	issn = {2052-4463},
	url = {https://doi.org/10.1038/s41597-022-01808-2},
	doi = {10.1038/s41597-022-01808-2},
	abstract = {This article introduces the 50stateSimulations, a collection of simulated congressional districting plans and underlying code developed by the Algorithm-Assisted Redistricting Methodology (ALARM) Project. The 50stateSimulations allow for the evaluation of enacted and other congressional redistricting plans in the United States. While the use of redistricting simulation algorithms has become standard in academic research and court cases, any simulation analysis requires non-trivial efforts to combine multiple data sets, identify state-specific redistricting criteria, implement complex simulation algorithms, and summarize and visualize simulation outputs. We have developed a complete workflow that facilitates this entire process of simulation-based redistricting analysis for the congressional districts of all 50 states. The resulting 50stateSimulations include ensembles of simulated 2020 congressional redistricting plans and necessary replication data. We also provide the underlying code, which serves as a template for customized analyses. All data and code are free and publicly available. This article details the design, creation, and validation of the data.},
	number = {1},
	journal = {Scientific Data},
	author = {McCartan, Cory and Kenny, Christopher T. and Simko, Tyler and Garcia, George and Wang, Kevin and Wu, Melissa and Kuriwaki, Shiro and Imai, Kosuke},
	month = nov,
	year = {2022},
	pages = {689},
}