ExPEDite’s approach is to develop and integrate modular components that can be used to analyse and predict the energy performance of a district under various “what-if” scenarios.

Data-driven applications using AI techniques are reshaping various industries such as manufacturing, tourism, and mobility.

ODEON's primary objective is to revolutionise the Digital Energy transition in the EU.

DC4EU will aid in the development of the technical infrastructure to support the interoperability and implementation of the European Digital Identity Framework, through a two-year,

GREEN.DAT.AI will demonstrate the efficiencies of the new large-scale data analytics services in four industries (Smart Energy, Smart Agriculture/Agri-food, Smart Mobility, Smart Banking) and six d

SECURED will address the limitations which prevent the widespread use of SMPC and effective anonymisation (due to the lack of well understood and standardised data anonymisation methods for health

The main objective of the project is to achieve accelerated digitization in the healthcare sector to provide opportunities for cost-effective and efficient delivery of personalized care services,

SEDIMARK focuses on merging the expertise of a large team of specialists to build a decentralized, secure, reliable and intelligent data and services marketplace&nbs

​​​​​​​TANGO will establish improved data sharing across sectors in a citizen-centric, secure and reliable manner, developing innovative solutions while addressing the challenges of environmental d

Climate Change will increase the number and intensity of heat waves and weather extremes, which we must adapt to by protecting vulnerable groups and installing resilient infrastructures.

Large amounts of valuable data are available in energy systems but are often underused.