Organisational structure and research activities
The School's research is organizationally divided into Multidisciplinary Scientific Areas, which are devoted to the study and exploration of broad themes. The Multidisciplinary Scientific Areas are also the centres of reference for the recruitment of researchers and faculty, and for the integration of research and teaching. Each includes within it one or more Research Units.
The Multidisciplinary Scientific Areas identified in the School's four areas of scientific and teaching expertise, with their respective Research Units, are:
- economics, management and statistics area, with the AXES Research Unit
- neuroscience, psychology and philosophy area, with the MOMILAB and PHIBOR Research Units
- systems science area, with the Research Units DYSCO, MUSAM, NETWORKS and SYSMA
- cultural systems area, with the LYNX Research Unit
Research Units
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AXES promotes excellence in scientific research in economics by harnessing a variety of theoretical and empirical tools to study policy-relevant issues
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Dysco research modern control and optimization technologies to help industry and society control and optimize their processes.
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Lynx promotes research on mechanisms of production, enjoyment and regulation of culture and cultural heritage, regardless of context, period or discipline.
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Momilab integrates basic neuroscientific methods with experimental psychophysiology, cognitive neuroscience, and structural/functional brain imaging.
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Musam integrates computational and experimental mechanics, numerical analysis and materials science to address frontier research related to modelling, simulation and testing of natural and artificial physical systems.
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Networks studies the structure, dynamics and physics of complex networks that emerge from the intricate interconnection of components of large systems.
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The history of medieval philosophy from a "global," interdisciplinary, and multicultural perspective: objects (manuscripts) and forms of knowledge organization (encyclopedias) in Greek, Arabic, and Latin.
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Develop languages and techniques for analysis, evaluation and verification of possibly distributed systems.