I am a professor of econometrics. My research is at the intersection of statistics, numerical analysis, operations research, psychology, economics, management and philosophy.
PhD in Science, major in Mathematics, 2005
Université Paris Dauphine, Paris (France)
PhD in Management and Industrial Engineering, 1999
Politecnico di Milano, Milano (Italy)
DEA MASE, 1999
Université Paris Dauphine/ENSAE, Paris (France)
MSc in Management and Industrial Engineering, 1996
Politecnico di Milano, Milano (Italy)
Master Analisi e Valutazione delle Politiche Pubbliche
Central-German Doctoral Program Economics
PhD in Methods and Models for Economic Decision
PhD in Econometrics and Empirical Economics
Dipartimento di Economia e Produzione
Master MEDEA (Management ed Economia dell’Energia e dell’Ambiente)
In Stochastic Programming, Statistics or Econometrics, one often looks for the solution of optimization problems of the following form:
The increasing importance of biological sciences for creating value added in many economic sectors contributed to the rise of the now popular term “bioeconomy,” referring to “the set of economic activities relating to the invention, development, production and use of biological products and processes” (OECD, 2009), which are characterized by the accent on the reduction of environmental pollution and the adoption of sustainable practices.
Still to be written
Measurement theory is “a field of study that examines the attribution of values to traits, characteristics, or constructs. Measurement theory focuses on assessing the true score of an attribute, such that an obtained value has a close correspondence with the actual quantity” (APA Dictionary of Psychology, 2nd ed.
Still to be written
Quantifying uniformity of a configuration of points on a space is a topic that is receiving growing attention in computer science, physics and mathematics. The problem has interesting connections with statistics, where several tests of uniformity have been introduced.
The unsustainable use and disposal of plastics is causing persistent and widespread environmental contamination. In particular, the pervasiveness of microplastics (MPs) in wastewater has become a major environmental issue in aquatic ecosystems and may cause adverse health effects for humans and other living organisms. The present paper presents the socio-economic framework included, in parallel with the technical and technological research path, in the Protein from Plastic (ProPla) project, granted by Fondazione Cariplo. Within the above scenario, ProPla aims at developing an innovative biotechnological application to recover PET microplastics (microPET) from wastewater and exploit the power of protein engineering and system biology approaches to generate a novel bacterial strain able to convert microPET into amino acids, that can be used in many industries (food, cosmetics, etc.) in a circular bioeconomy perspective. The socio-economy framework includes both a patent landscape analysis (PLA) and a socio-economic assessment, aiming to highlight the system of values and the economic opportunities embodied in the process. The PLA had a crucial importance to map the main technological trends related to the ProPla process, highlighting opportunities with significant potential economic return for the isolation of MPs from water, their characterization and the set-up of a novel E.coli strain for the conversion of PET into amino acids. The socio-economic assessment aimed at underlining the multiple direct and indirect values arising from the project outcomes and products. The issue of the economic feasibility of microPET conversion into value-added products has been highlighted, together with the evidence of the potential social and economic benefits coming from the valorisation of microPET by way of a bio-based conversion process. Finally, an analysis has been developed to emphasize the contribute of the overall project results in the achievement of SDGs, at a public level, and of ESG, at a firm level.
Agent-based modeling (ABM) is a simulation technique which has been increasingly integrated into the economic discipline in order to understand complex systems. However, most of everyday research activities rely on the researchers' consensus concerning practical choices about modeling strategies, computational boundaries under scrutiny and the extent of empirical validation. Particularly lacking are reflections on the semantic construction of conceptual models. The paper reviews existing theoretical frameworks leading to understanding ABM as a technique, where the cognitive processing instantiated by the instrument is distributed across different modeling layers, including conceptual, algorithmic and computational ones, which can be interpreted as an interlinked set of analogies. Then, it introduces a framework for assessing ABM conceptual adequacy and tests it on two families of models in the field of economics of innovation, revealing several modeling constraints.
We consider measures of covering and separation that are expressed through maxima and minima of distances between points of an hypersphere. We investigate the behavior of these measures when applied to a sample of independent and uniformly distributed points. In particular, we derive their asymptotic distributions when the number of points diverges. These results can be useful as a benchmark against which deterministic point sets can be evaluated. Whenever possible, we supplement the rigorous derivation of these limiting distributions with some heuristic reasonings based on extreme value theory. As a by-product, we provide a proof for a conjecture on the hole radius associated to a facet of the convex hull of points distributed on the hypersphere.
We consider the estimation of the entropy of a discretely-supported time series through a plug-in estimator. We provide a correction of the bias and we study the asymptotic properties of the estimator. We show that the widely-used correction proposed by Roulston (1999) is incorrect as it does not remove the
Insubria, Economia è un’eccellenza: fondi in arrivo, LaPrealpina.it, 30 December 2022
Insubria, il Ministero seleziona Economia tra le eccellenze, CiaoComo, 30 December 2022
Varese: Università Insubria “eccellente” grazie a Economia, Rete55, 30 December 2022
“Varese pensi in grande. Solo così può crescere”, La Prealpina, 15 April 2023
Varese: PGT, all’Insubria il “polso” della città, Rete55, 6 Ottobre 2023
Varese, l’Insubria studia il Pgt, La Prealpina, 6 Ottobre 2023
ProPla – Proteins from Plastics, The Protein Factory 2.0, 1 March 2023
Così le microplastiche diventano aminoacidi, Il Giorno, 5 May 2023
Come trasformare le micro-plastiche in proteine, Smart City, 15 June 2023
Più PROteine dalla PLAstica, Varese Focus, 20 September 2023