Decision Science Research Center

An interdipartimental research center of

The interdisciplinary Center DESIRE fosters scientific collaboration among professors and researchers from different departments who share a common interest in decision science and in decision-support methods based on descriptive, predictive, and prescriptive mathematical models, as well as optimization and simulation algorithms. These methods are applied across a wide range of domains, including—but not limited to—logistics, healthcare, energy production and distribution, natural resource management, and computational sciences.

In recent years, there has been significant growth in methods based on machine learning and artificial intelligence. Building on this trend, the Center aims to address broader challenges in explainable and responsible decision-making. It intends to strengthen its expertise in these areas and become more actively engaged in related research.

In addition to these core themes, the Center focuses on the modeling of biological phenomena, image analysis (particularly in support of medical decision-making), optimization techniques, and data quality issues related to data-driven solutions in environmental and healthcare applications.

The Center is an evolution of the previously founded ADAMSS Centre. It aspires to become a visible and recognized point of reference for public institutions and private companies interested in applying decision-support methods to their decision-making processes.

This ambition includes the development of scientific and applied collaborations, knowledge transfer initiatives, outreach activities, and academic and professional guidance.