Software

Packages

Interactions

The package written in R facilitates estimation and visualization of marginal effects in complex scenarios by directly utilizing the variance-covariance matrix, rather than relying on the model object.

EFToolkit

The package written in R implements analysis of election fraud based on various election forensics methods.

CECscraper

The package written in R helps to scrape electoral data from the website of Central Election Commission of the Russian Federation. The package is no longer supported after 2021.

GPT3-Surveys

This repository contains scripts written in Python and data used for generation of synthetic responses of hard-to-reach elite members of the Russian elites based on 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).

CLEA

The package written in R helps to generate party nationalization datasets for the CLEA project at three levels of aggregation: national, party and constituency levels.

Web Apps

Election Forensics Toolkit

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.

Global Geo-Referenced Election Forensics Database

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.