Franklin is past President of the Society for Political Methodology. His methodological work has focused on applications of maximum likelihood estimation to models of political behavior. He is also an expert in the design and analysis of survey data. He is the creator of “Two-Stage Auxiliary Instrumental Variables (2SAIV)”, a technique for estimation of dynamic models in the absence of panel data. He has taught maximum likelihood for over a decade at the ICPSR Summer Program in Ann Arbor. He also teaches Bayesian models at the University of Essex Summer School in Social Science Data Analysis and offers an overview of maximum likelihood at the Oxford Spring School. He is an Associate Editor of the Stata Journal and an active developer of a maximum likelihood package for the R statistical system.