Tommaso Agasisti is an associate professor at Politecnico di Milano School of Management (Department of Management, Economics and Industrial Engineering), and the Co-director of the School of Educational Management at MIP-Politecnico di Milano Business School. Since 2003, he teaches “Business Economics” at Politecnico di Milano (undergraduatecourse), and since 2010 “Theory and Organization of Public Administrations” (Master level). Since 2003, he is a member of the faculty of the MIP – Business School of the Politecnico di Milano, especially in the School of Educational Management (SUM). He teaches the module “Economics of Education” and “Accounting for Public Universities” at the Master in University Management. He is co-director of the Executive Master in University Management (M.SUM) and Executive Master in School Management (M.MES); since 2014, he is also teaching coordinator of the Executive Master in Public Management for Federalism (M.EMMPF).
His research activity is focused on Public Economics, Finance and Management, and the mainstream is in the field of economics and management of educational services. In 2013, he obtained one of the INVALSI grant “Research ideas” with a project (developed in collaboration with Sergio Longobardi) about the use of stochastic frontier and multilevel models for efficiency analyses of INVALSI data (indicative period of research: January – December 2014). In 2014, he obtained one of the TJ Alexander Fellowships promoted and funded by OECD (Fall 2013 edition), with a proposal about the use of OECD-PISA data for conducting efficiency analyses (indicative period of research: June 2014 – June 2015). In 2014, he obtained one of the Politecnico di Milano Grant for Basic Research (FARB) with a project (developed in collaboration with Emanuele Lettieri, Anna Paganoni and Francesca Ieva) about the use of statistical modelling for developing performance evaluations of schools and hospitals (project’s title: “Public Management Research: Health and Education Systems Assessment”; indicative period of research: April 2014 – March 2017).