Recent Award

CI-SUSTAIN: Stan for the Long Run

Stan is a software package that transforms scientific discovery by allowing scientists to quickly and easily explore, evaluate, and refine rich scientific hypotheses tailored to their particular research question and data collection mechanism. For computational reasons, analyses of data (big or otherwise) have tended to be simple and focused more on the difficulties of manipulating the data than on realistic scientific models. The next generation of Bayesian inference can take scientists beyond this impasse, via sophisticated models that can adjust for differences between sample and population, and between treatment and control groups, to join the benefits of large datasets with the rigor and power of statistical adjustment. Stan further helps educate the next generation of data scientists, with a natural, easy-to-learn and portable modeling language, coupled with robust, practical inference tools. The specific goal of this project is to solidify the Stan code base to enable application, maintenance, and development of the Stan software. Stan is being applied in many corners of the physical, biological, and social sciences, hundreds of at scales ranging from the neutrinos to supernovas, from cellular biology to population ecology, and from human reaction times to social network evolution. In this project the PI aims to document and ruggedize the core infrastructure of Stan to enable it to be used by a wider audience of scientists, to be maintained by a wider group of software developers, and to be extensible to allow for the future development of new scientific applications and statistical algorithms.

Principal Investigator: 

Andrew Gelman

Higgins Professor of Statistics and Professor of Political Science

Home Department: 


Tuesday, August 1, 2017 to Friday, July 31, 2020

Research Category: 




Don't want to miss our interesting news and updates! Make sure to join our newsletter list.

* indicates required

Contact us

For general questions about ISERP programs, services, and events.

Working Papers Bulletin Sign-up

Sign up here to receive our Working Papers Bulletin, featuring work from researchers across all of the social science departments. To submit your own working paper for our next bulletin, please upload it here, or send it to
* indicates required