R package that helps to implement election forensics analysis using various methods and estimators.
R package that helps to scrape electoral data from the website of Central Election Commission of the Russian Federation.
This repository contains the scripts and data for generation of synthetic responses of hard-to-reach elite members of the Russian elites using the GPT-3 language model. For more information, see the paper: Kirill Kalinin(2022).Generation of Synthetic Responses to Survey Questions Using GPT-3: A Case of Hard-to-Reach Members of Russian Elites (based on the Survey of Russian Elites)
R package that builds the party nationalization datasets at three different levels of aggregation: the national level, the party level, and the constituency level.
The Election Forensics Toolkit website, developed by Walter Mebane and Kirill Kalinin, is a prototype that implements several methods that have been proposed as useful accuracy diagnostics. The website was developed as part of a project conducted by a team from the University of Michigan (Walter Mebane, Ken Kollman, Allen Hicken, Kalinin and Jonathan Wall) and the University of Maryland (David Backer), with funding from USAID. The website was technically implementated by Walter Mebane and Kirill Kalinin.
The goal of the Global Geo-Referenced Election Forensics Database project is to build a user-friendly interface convenient for exploration of geographic distribution of election fraud.