The modern research university is a complex enterprise. To make better policy and administrative decisions, we need to study scientometrics: the quantitative features and characteristics of scientific research. We also require to better understand university economics and consequences of any disruptions that occur in the research and business enterprise. By using large-data scientometrics and economic modeling, we are building models to enhance our understanding of how research universities work. Our goal is to investigate how to use limited resources available to research universities and their scientists to maximize their research output and economical impact in society.

We are interested in investigating the ongoing cost-benefits decisions made by academic institutions as they compete for resources and reputation. Also we are investigating how scientists respond to incentives and cost in research money, scientific quality and reputation.