For the 2019-20 Academic Year, the IMT School for Advanced Studies Lucca offers two PhD Programs: Cognitive and Cultural Systems and Systems Science. The Programs, and their affiliated specialized Tracks, are described in the following paragraphs.
The Cognitive and Cultural Systems PhD Program is comprised of two Tracks that both examine the methodologies applicable to the study of the brain, the mind, behaviors, human activities and productions as well as their material and symbolic functions and representations. The two Tracks
- Analysis and Management of Cultural Heritage (AMCH)
- Cognitive, Computational and Social Neurosciences (CCSN)
look at this shared field through diverse but complementary methodological, analytical and technical lenses. The principal educational goal of the Cognitive and Cultural Systems Program is that of providing students with a mastery of methodological tools and advanced techniques for neurosciences and for the analysis and the management of cultural heritage, of cultural phenomena and their multiple impacts. This Program is characterized by its interdisciplinary nature and its innovative approach that, beyond training students in the specific areas of neuroscience and cultural heritage, deals with the study of the relation between historical-contextual analyses and neuroscientific analyses and the study of the complex system made up by behaviors, activities and human productions from perspectives and with instruments that are both complementary and integrated.
The PhD Program in Systems Science relies on proficiencies in the development of predictive quantitative models for the analysis of economic, technological and social systems. It deals with increasingly relevant problems that regard, for example, smart grids, social networks, smart communities, smart cities, the management of immigration flows and international exchanges, risk analysis in global financial systems, intelligent and sustainable industrial production systems, health systems, logistics systems and cyber-physical systems, namely systems consisting of the interaction between digital systems and physical units, prominent in automotive, aerospace, chemical, infrastructure, energy, biomedicine and manufacturing industries. The principal educational objective of the Systems Science PhD Program is to help students master and effectively employ basic methodological tools and potentially develop new ones, within the specific domains of its two Tracks: