KONNECTA SYSTEMS LIMITED

GREEN.DAT.AI aims to channel the potential of AI towards the goals of the European Green Deal, by developing novel Energy-Efficient Large-Scale Data Analytics Services, ready-to-use in industrial AI-based systems, while reducing the environmental impact of data management processes. GREEN.DAT.AI will demonstrate the efficiencies of the new analytics services in four industries (Smart Energy, Smart Agriculture/Agri-food, Smart Mobility, Smart Banking) and six different application scenarios, leveraging the use of European Data Spaces. The ambition is to exploit mature (TRL5 or higher) solutions already developed in recent H2020 projects and deliver an efficient, massively distributed, open-source, green, AI/FL - ready platform, and a validated go-to-market TRL7/8 Toolbox for AI-ready Data Spaces. The services will cover AI-enabled data enrichment, Incentive mechanisms for Data Sharing, Synthetic Data Generation, Large-scale learning at the Edge/Fog, Federated & Auto ML at the edge/fog, Explainable AI/Feature Learning with Privacy Preservation, Federated & Automatic Transfer Learning, Adaptive FL for Digital Twin Applications, Automated IoT event-based change detection/forecasting. The GREEN.DAT.AI Consortium consists of a multidisciplinary group of 17 partners from 10 different countries (and one associated party), well balanced in terms of expertise. The vast majority of partners already have key roles in a number of projects funded under the Big Data PPP (ICT-16-2017) topic, namely BigDataStack, CLASS, Track & Know, and I-BiDaaS and are serving as active members of the BDVA/DAIRO Association, FIWARE, AIOTI, and ETSI. In addition, partners come from a variety of sectors, such as banking, mobility, energy, and agriculture, constituting a representative workforce of their respective domains, which will contribute to industry adoption and stimulate uptake in other sectors as well.

EC contribution:

EUR 78k

Start:

2023-01-01

End:

2025-12-31

Status:

SIGNED

Scheme:

HORIZON-IA

Call:

HORIZON-CL4-2021-DATA-01

View on CORDIS (DOI 10.3030/101070416)

SPINE’s vision is to accelerate the progress towards climate neutrality by reinforcing PT systems through their smart integration with new mobility services, sharing schemes, active transport modes, and micromomibilty. SPINE adopts an equity centred design thinking approach, leading the transition to a more efficient, sustainable, resilient, and inclusive PT system. A network of collaborative LLs is developed to foster transferability, while an intersectional view of the transport system users is applied. Four Lead City LLs in Antwerp, Bologna, Tallin and Las Palmas will be established, and a series of co-creation activities will take place where multiple stakeholders will be actively engaged in the development and demonstration of efficient, replicable, and socially acceptable innovative mobility solutions, advancing existing assets. The SPINE approach involves the creation of (a) innovative simulation and Digital Twining (DT) tools, along with open data and behavioural models, that will allow the building of scenarios combining different mobility interventions (push and pull measures along with supporting policies) and the implementation of the most promising ones; (b) data-driven impact assessment models that will foster the twinning, transferability and adaptation of the successful solutions of the four LLs in seven Twining Cities - Barreiro, Valladolid, Zilina, Sibenik, Hrakleion, Gdynia and Rouen-. SPIRE sets a high ambitious plan for the co-design and implementation of 55 smart greens inclusive mobility solutions. The SPINE consortium brings together a multidisciplinary team of 39 partners from 16 countries. The unique mix of experienced transport engineers, Public transport Operators, computer scientists, data analysts, transport modelers, social scientists, urban planners, policy analysts, software providers, within our consortium assures the comprehensive approach to the challenges, scope, expected impact and the successful delivery of the project.

EC contribution:

EUR 34k

Start:

2023-01-01

End:

2026-12-31

Status:

SIGNED

Scheme:

HORIZON-IA

Call:

HORIZON-MISS-2021-CIT-02

View on CORDIS (DOI 10.3030/101096664)