I will use this fellowship to study the Global environmental changes And recovery of primary producers over Mesozoic mass extinctions EventS: a molecular fossil approach (GAMES). The Mesozoic Era (~250 to 66 million years ago), englobe the two recent mass extinctions events in Earth history. The End-Triassic mass Extinction (ETE, dated ~203 million years ago) and the Cretaceous-Paleogene mass extinction (K-Pg, dated ~66 million years ago). These are unique events in the history of live in our planet, with different preconditions, drivers, and outcomes, and the ecological responses to each one has been unique as well. In fact, determining the nature of associated environmental changes and biotic recovery, is critical to understand the cause and effect of these both events. But in addition, studying and comparing different ‘key’ ancient events, will be relevant to understand on future biological disruptions and recoveries result of the current climatic change. The cause of mass extinctions has been a long-standing problem in geology. At present, is broadly accepted that the primary driver on the ETE mass extinction event, was a large magmatic activity (CAMP: Central Atlantic Magmatic Province) associated with the breakup of Pangea. While in the case of the K-Pg mass extinction event, it was a consequence of a meteorite impact in the Gulf of Mexico (Chicxulub structure). These both catastrophic events caused short and long-term paleoenvironmental changes worldwide, including the input of CO2 into the atmosphere-ocean system analogous to current anthropogenic CO2 input. After decades of research, one of the most critical lines of inquiry is to understand the short- to long-term effects of these extinctions events on the global environmental system, including the re-establishment of pre- environmental conditions and marine biological productivity

The idea is to Build a Knowledge Base, that can be used to trace all activities related to the overall life-cycle of buildings. Since various directives of the EU are related to sustainability, resilience and energy efficiency of building stock, it is necessary to provide a marketplace where various actors can share their offers, including their quality certificates and credentials, and where it would be possible to log and trace every information, activity and change, and use the knowledge to improve sustainability. The project will extend a Digital Building LogBook (DBL), used by a municipality for the management and the administration of its huge set of buildings, with several available and novel data, tools and functionalities, by the help of a Decentralized Knowledge Graph (DKG), an open source blockchain-based solution. DKG software will include specific building-related ontologies, so that the whole knowledge base about the life-cycle of the building can be logged and by that continuously updated, providing mechanisms and interfaces for the relevant stakeholders, to publish, trace, share, tokenize, end even trade models in a market economy. Such information integration can support decisions on optimal adaptation and intervention planning strategies for large populations of buildings. The DBL will be integrated with several new functionalities demonstrated on a dozen of use cases via easily accessible and publicly available APIs. These functionalities will assure a high interoperability between legacy systems and existing tools (e.g. BIM, HBIM), compliance with standards, providing automated warning and alerting system with the help of machine learning tools, digital twinning, and decision-making support. The new DBL based applications will be tested on pilot projects focusing on historical and critical buildings, and on building stocks. The project targets a smarter and more sustainable built environment of the EU providing new market and new value creation.

AERIS aims to build an international, cross-sectoral network to advance atmospheric sciences by improving vertically-resolved atmospheric characterization techniques, including near-surface regions. The project unites European academic and commercial institutions with North and South American partners (LALINET). AERIS enhances measurement techniques, connects international observation programs, and creates opportunities for early warning systems, business innovation, and job creation. The main objective is to advance retrieval capabilities for biogenic and non-biogenic aerosols over South America, enabling data with applications in health, hydrology, air quality, and climate. This will support a regional early warning system with global implications, benefiting aviation, biodiversity, and space mission validation. Specific goals include: (1) Implementing quality assurance and calibration for vertically resolved and near-surface measurements; (2) Optimizing inversion algorithms for aerosol property retrievals; (3) Enhancing synergies between instruments to improve spatial and temporal data; (4) Developing predictive models linking aerosols to health impacts; and (5) Investigating aerosol-induced cloud nucleation and its effects on the hydrological cycle. South America faces critical atmospheric challenges with global consequences. Limited infrastructure and monitoring networks hinder accurate data collection and climate modeling, weakening public policies and international cooperation. AERIS addresses these challenges by integrating high-quality, vertically resolved atmospheric data with near-surface imagery, advancing aerosol characterization in South America. This unique database will strengthen regional and global atmospheric science. To achieve these goals, AERIS includes an ambitious consortium and proposes secondments, workshops, and training activities to foster a shared culture of research and innovation.

PACTUM project aims at providing a high-quality, multidisciplinary and stimulating one-year master programme in social, political and behavioural sciences. The goal here is to develop an innovative approach that might create positive effects both for the Tunisian teaching staff and the students. With regard to the former, the opportunity to establish and cultivate contacts with important European universities and professors could be relevant to learn new methodological techniques and develop a broader and more comparativist approach to the study of social, and more specifically political, sciences. In a similar way, also European instructors might benefit much from Tunisian academic staff, due to their skills and knowledge of the cultural and political environment. Coming to Tunisian students, instead, the establishment of a new master, prevalently (although not entirely) taught in English and with a specific focus on political science, sociology, science of the administration, and international relations provides opportunity to find a job both in the public and private sector, considering the particularly challenging environment for young graduate students. A closely connected goal here is to train tomorrow’s public employees in order to enhance the professionalization of the bureaucratic body and its capacity to formulate, implement, and evaluate public policies. However, more short-terms goal are presented as well in the project. In fact, from the third year on, through summer schools dedicated (although not specifically) to public employees, there is an attempt to improve immediately the skills and capacity of the bureaucracy in Tunisia.

The neuromorphic computing paradigm, inspired by the brain's non von-Neumman architecture, constitutes the most auspicious alternative for the More than Moore era. The electronic implementation of the neuron must reproduce the nonvolatile, multilevel, and scalable properties found in the human cortex. Memristors based on two-dimensional (2D) materials are an ideal candidate to emulate the biological synapse. The investigation of the mechanical, thermal and electrical properties that lead to the memristive behaviour in 2D materials and, in particular, the rationalization of the underlying mechanisms causing the memristive effect, are subject of intense scientific debate. The gap between the experimental 2D memristors realizations and the theoretical understanding of their operating principles demand an hollistic modeling approach that is still lacking. In this project, we aim to develop a bottom-up modeling framework for studying memristive systems and its integration in neuromorphic computing networks. To this purpose, we will employ the multi-scale modeling approximation, a powerful and versatile simulation approach that has become an standard increasingly used in the physical and electronic communities and presents clear advantages regarding the level of accuracy and computational burden. The proposed model will be developed in three stages, 1) 2D Material - Ab initio level 2) Memristor - Device level and 3) Neuromorphic networks - Circuit level. The model will be validated using the experimental characterization data form the 2D memristor fabricated during the secondment phase. This project aims to implement a complete design chain able to boost the state-of-the-art technology. The relevance of this Project is based on the premise of developing a novel and disruptive technology with a great future projection, intending to explore the still insufficiently exploited and enormously promising More Than Moore type of solution.