Election forensics adds distinctive value to current efforts to promote the integrity of elections around the world by developing special forensic tools and techniques designed to detect the presence of election fraud and to estimate its magnitude based on the reported results of elections. By utilizing electoral data, election forensics provides statistical evidence, which could refute or support various sorts of accusations related to the presence of election fraud. What methods and techniques are currently used by election forensics? Can election forensics measures be validated by the auxiliary data, such as election observation? What election forensics tells us about election fraud at the Russian elections? To address these questions I’ll discuss election forensics methodology, and present key findings from the analysis of the Russian presidential and parliamentary elections 2000-2016.
Kirill Kalinin is a W. Glenn Campbell and Rita Ricardo-Campbell National Fellow at the Hoover Institution. His research focuses on election studies, election forensics, survey methodology, and Russian politics. Kirill is one of the creators of the Election Forensics Toolkit website with funding from USAID, a prototype that implements election forensics methods that have been proposed as useful accuracy diagnostics for detecting election fraud. Currently Kirill is also engaged in data management and analysis of the Survey of Russian Elites: 1993–2016. Kirill received a PhD in Political Science from the University of Michigan (2017).