Michael Herron

David Cottrell, Michael Herron and Sean Westwood report their findings concerning the assertions of large-scale voter fraud that have been forthcoming from the Trump administration

02/28/2017

David Cottrell is a postdoctoral fellow in the Program in Quantitative Science (QSS) and teaches the QSS course "By the Numbers: Race, Incarceration and Politics." Michael Herron is a visiting scholar at the Hertie School of Governance and professor of government at Dartmouth College. Sean Westwood is an assistant professor of government at Dartmouth College and teaches the QSS course "Computational Text Analysis."  As with their first analysis of voter fraud in the 2016 election, Cottrell, Herron, and Westwood find no evidence to support the assertions of large-scale voter fraud in New Hampshire that have been forthcoming from the Trump administration. Read the full Washington Post story on their collaborative research here.  Coverage in The Concord Monitor is here. Coverage in The Chronicle of Higher Education is here.  

"We Checked Trump's Allegations of Voter Fraud. We Found No Evidence At All." (The Washington Post)

12/02/2016

David Cottrell, a postdoctoral fellow in the Program in Quantitative Social Science at Dartmouth College, Michael Herron, a visiting scholar at the Hertie School of Governance and professor of government at Dartmouth College, and Sean Westwood, an assistant professor of government at Dartmouth College, completed an extensive study of voter fraud in the 2016 election.  The details of their methodology and findings can be read here.

Additional news coverage of this research can be seen here: Valley News.

 

President Philip Hanlon and Professor Michael Herron Teach a Sports Analytics Course

09/16/2015

QSS 30.01, Sports Analytics, is being co-taught by President Philip Hanlon and Professor Michael Herron in 15F.

Sports organizations are becoming increasingly aware that analytics are an important component of team success. This course introduces students to various statistical techniques used in modern sports analysis and in particular teaches participants how statistical methods can be used to analyze game outcomes and evaluate players and strategies.  The course includes lectures, in-class exercises using the R statistical computing environment, and guest speakers from the sports industry.