Machine learning and big data analytics
4 European H2020 organizations list this as part of their work — 4 as their primary capability.
Most active in this area
- UNIVERSITA DI PISA
Major Italian research university spanning advanced materials, machine learning, sustainable agriculture, and biomedical informatics across 200+ EU projects.
“SoBigData research infrastructure, plus numerous projects featuring big data, machine learning, graph algorithms, and computational genomics as core keywords.”
PrimaryIT201 projects - CHAROKOPEIO PANEPISTIMIO
Greek university combining edge computing and data science with applied research in digital health, nutrition, and community-based disease prevention.
“Recurring capability across MASTER (trajectory data, social media), HarmonicSS (big data mining), COLLABS (ML for security), REBECCA (causal modelling), and NUTRISHIELD.”
PrimaryEL26 projects - THE OHIO STATE UNIVERSITY
Major US research university contributing machine learning, materials science, and wireless communications expertise to European consortia via MSCA mobility programmes.
“LAMBDA focused on learning and analysing massive complex data including clustering, retrieval, and shape analysis; ASTROSTAT applied statistical tools to astronomical data.”
PrimaryUS6 projects - GIE AXA
AXA Group's R&D unit applying machine learning and big data analytics to insurance-relevant domains: healthcare, risk, and population modeling.
“Core contributor to both LAMBDA (massive data analysis, clustering, unsupervised learning) and BigMedilytics (big data technologies for healthcare).”
PrimaryFR3 projects