Modern science is heavily data and compute-intensive, AI-assisted, participatory, and multidisciplinary. Similarly, sharing and publishing of scientific results are going to be revolutionized to support openness, transparency and reproducibility, and to enable rewards for scientists who publish results of their work beyond the scientific articles. These approaches are expressions of a profound evolution of science practices that on the one hand is enacted by and on the other demand for continuous innovation in IT instruments and approaches.
The InfraScience Laboratory mission is to contribute to this evolution by pursuing basic and translational research and investigating, experimenting, and closely connecting research and development of innovative digital infrastructures, information systems, and smart solutions for fostering and empowering data-centered research.
The InfraScience Laboratory has a long-lasting experience in pursuing research activity by closely connecting research and development in the following interwoven areas.
Research Areas
Data Infrastructures
Data Infrastructures able to support new-generation scientific approaches
- Systems of Systems architectures
- Distributed and fault-tolerant computing platforms
- Distributed and efficient multi-platform storage solutions
- Elastic, scalable and cross-platform data analytics
- FAIR data management
eScience and Open Science
Innovative IT instruments for empowering scientific activities
- Collaborative and social computing systems
- Virtual Research Environments and Science Gateways
- Science of Science and Scientometrics
- Scholarly Knowledge Graphs
- Computational reproducibility and provenance in scientific workflows
- Scholarly communication
Intelligent Systems
Solutions for increasing the intelligence of the supporting solutions
- Knowledge Representation and Reasoning
- Statistical Relational Learning
- Intelligent Integration and Access to Data
- Recommender systems