UNIVAQ has a multitude of heterogeneous skills ranging from computer science and information engineering to private law. It organizes national and international Courses (from bachelor to PhD) in ICT and Data Science topics, showing particular attention to gender and inclusiveness issues. It belongs to three national CINI laboratories: “Artificial Intelligence and Intelligence Systems”, “HPC: Key Technologies and Tools” and “Big Data”. UNIVAQ played a decisive role during the reconstruction phase following the 2009 earthquake, through the creation and promotion of research and strategic development projects (e.g., INCIPICT and Territori Aperti). It also promotes collaborations with major industrial players (Leonardo, Telespazio, Ansaldo-STS, FCA, Dompè) to experiment new solutions to industrial project or to envisage new innovative services. UNIVAQ gained important skills in building and manage resilient and reliable IT infrastructure in seismic territory and under emergency. It has gained expertise in building and management computational clusters as in the case of Caliban (an HPC & Big Data cluster), a distributed and parallel computing infrastructure oriented towards HPC (High-Performance Computing) and Big Data. The cluster currently consists of about 20 nodes, 2000 cores and a shared data space of about 100 Tb. The activities in the field of software engineering include QoS analysis of autonomic services aspects, and those in the Artificial Intelligence area, with a special interest in the ethical aspects and disaster recovery and management, in adjunction with those in in the fields of human-computer interaction, algorithms and complexity also in the Big-Data domain, linked to the algorithmic game theory, multi-agent systems. Specific expertise was developed by exploring new approaches in biomedical science, systems biology and network science to both understand the causes of human diseases and find and develop new personalized treatments. On the other hand, by assessing and mitigating the drawbacks of the black-boxes AI systems based on machine learning which are trained with big data, focusing on studying their properties, (e.g., accuracy, efficiency, fairness, stability) that have a practical impact. The experience gained in “Territori Aperti” brings well-established know-how in methods and tools to analyze, monitor, and improve post-disaster reconstruction processes in socio-economic areas, spatial planning, environmental health in cooperation with national and international institutions. The provided ICT-enhanced solutions will improve the efficacy of “search & rescue” activities, emergency relief, reconstruction, and rehabilitation. UNIVAQ also includes relevant expertise in the Juridical domain with a special focus on the gender balance, AI related ethical issues and automatic tools to support Legal Decision Making. Emphasis was posed by the participant past experiences to the social impact of AI and explainable machine learning focusing on bias and fairness, explainability, and ethical and privacy-related issues. UNIVAQ has great tradition in the management of projects at both national and transnational levels and constantly works on training activities aimed, but not limited to, at attracting girls to STEM disciplines.