InsIDE Lab

The InsIDE Lab (Insubria Information & Data for Economics) is a research and scientific support laboratory dedicated to the study and application of statistical and econometric models. Its main goal is to provide qualified assistance at every stage of quantitative analysis: from the theoretical construction of models to their estimation, interpretation, and the communication of results. The lab places strong emphasis on the mathematical foundations underlying the models to be estimated, recognizing that a solid theoretical base is essential to ensure reliability and coherence in empirical applications. Among the tools employed are: probability theory, approximation theory, advanced simulation algorithms, numerical optimization techniques, and machine learning methods. A distinctive feature of the InSIDE Lab is its critical reflection on the foundations of statistical and econometric inference, addressing the epistemological implications of the techniques used and promoting a deeper understanding of the limitations and potential of modeling. Another key aspect is attention to the understanding of the assumptions and premises behind models and their potential non-neutrality—thus linking model selection and interpretation to critical hermeneutics. The lab does not merely apply existing methods but is actively involved in the development of new methodologies, both computational and inferential. Methodological innovation is considered a key component in tackling the challenges posed by modern data and complex economic phenomena. Applications of the methodologies developed include empirical analysis of micro- and macroeconomic, social, psychological, demographic, and environmental data; evaluation of public policies; and the management, integration, and analysis of big data—including complex climate data—with the aim of supporting evidence-based decision-making. Finally, lab members adhere to best practices in data analysis: using open-source software whenever possible, responsibly sharing data, promoting the replicability of studies, and preregistering research projects. These principles ensure transparency, reliability, and scientific rigor. To this end, the InsIDE Lab works in close collaboration with research centers and similar laboratories around the world.