Infrastructures for Science (InfraScience)

Head: Donatella Castelli


Web Site:

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, a continuous innovation in IT instruments and approaches.

The InfraScience Laboratory mission is to contribute to this evolution by 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 research topics are organised into three interwoven areas:

  • Data Infrastructures including 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 including Collaborative and social computing systems; Virtual Research Environments and Science Gateways; Scientometrics; Scholarly Knowledge Graphs; Computational reproducibility and provenance in scientific workflows; Scientific publishing;
  • Intelligent Systems including Knowledge Representation and Reasoning; Statistical Relational Learning; Intelligent Integration and Access to Data; Recommender systems.