Beyond Opinion: how data-driven decisions can improve citizen satisfaction

Forget ‘intuition’-based decisions. Evidence-Based Decision Making (EBDM) is the revolutionary approach that uses hard data to guide strategic choices in public administration. In this workshop, you will discover how data analysis can support informed and responsible decision-making, improving public policy impact and citizen satisfaction.

We will look at practical examples such as simulating the impact of political decisions and analysing the efficiency of public services. We will also examine the future prospects of data analysis in the public sector, particularly the use of advanced techniques such as machine learning and the potential offered by big data.

Tommaso Agasisti is Full Professor at the Department of Management Engineering at the Politecnico di Milano, where he teaches Public Management in the Master's in Management Engineering and Business Economics and Organisation. Since 2019, he has been a member of the Board of Directors of the Politecnico di Milano. He conducts research on performance evaluation in public administrations, with particular reference to the school, university and local authority sectors. He is the author of more than 130 publications in international academic journals, as well as multiple national and internationally-renowned articles, books and book chapters.