Projects
DeployAI - AI4Europe - AI4Copernicus - Fair for Fusion - IS-ENES3 - AI4EU - DARE - BigDataEurope
DeployAI (January 1, 2024 - December 31, 2027)
Development and Deployment of the European AI-on-demand Platform
The primary goal of DeployAI is to build, deploy, and launch a fully operational AI-On-Demand platform (AIoDP) promoting trustworthy, ethical, and transparent European AI solutions for use in the industry, mainly for SMEs, and in the public sector. The development of the AIoDP will be based on the requirements of the Pre-PAI and the ongoing AI4Europe projects. DeployAI will provide a comprehensive and Trustworthy AI (TAI) resource catalogue and marketplace, which offers responsible AI resources, and tools, ensuring easy access for end-users (SMEs, public sector) and asset developers, and meeting industrial standard requirements. AIoDP will allow the rapid prototyping of TAI applications and their deployment to a variety of cloud/edge/HPC infrastructures. To lower the entry barrier of using AI and to offer advanced AI capabilities, responsible European LLMs will be integrated in the AIoDP to enable services for downstream tasks, fine-tuning and other complex GPAI workflows. The AIoDP will be embedded in the European AI ecosystem, especially to EDIHs, TEFs, Dataspaces, SIMPL, and HPC/Cloud/Edge infrastructure. Interfaces to European initiatives and industrial AIcapable cloud platforms will be implemented, including an open API, to enable interoperability. A significant number of TAI resources will be made available on the AIoDP which will be qualified and labelled by an established process. Further, DeployAI will establish a viable AIoDP engagement strategy for AI resource providers and AI users and stimulate the European AI innovation landscape with its FSTP programme. Active stakeholder engagement will be ensured by providing matchmaking services and an interactive landscape tool. Finally, the project will provide a sustainable business model and a viable long-term strategy for the AIoDP. Governance structures responsible for the AIoDP ongoing operations will be put in place, while a permanent legal entity to own and operate the future AIoDP will be established.
AI4Europe (July 1, 2022 - December 31, 2025)
AN AI ON-DEMAND PLATFORM TO SUPPORT RESEARCH EXCELLENCE IN EUROPE
The rapid advancement of AI technologies has led the EU to decide on hosting a research environment focused on scientific and ethical excellence, which grows with the cooperation of members from within the EU and the assistance of academia and industry. The EU-funded AI4EUROPE project, in collaboration with AI4EU and other related projects, aims to develop this space by introducing an unbiased, open and cooperative platform from and for the European research community for excellent studies of AI. This platform will provide services ranging from data access, services and tools to cooperation with other researchers. The project will also enable a business model for guaranteeing its continued operation.
AI4Copernicus (January 1, 2021 - December 31, 2023)
Reinforcing the AI4EU Platform by Advancing Earth Observation Intelligence, Innovation and Adoption
AI4Copernicus aims to make the AI4EU AI-on-demand platform the platform of choice for users of Copernicus data along the value chain (scientists, SMEs, non-tech sector). AI4Copernicus will achieve this by exposing AI4EU resources on DIAS (data and information access services) platforms, making it easy to procure computing power and large EO data, as well as to access training material and expertise. AI4Copernicus proposes to reinforce and optimise the AI4EU platform service offering with AI4Copernicus datasets, tools and services relevant to Copernicus data to facilitate the use and uptake of the platform resources in domains of high economic and societal impact, such as in Agriculture, Energy and Security. A series of 4 open calls have been planned, leading to 8 small-scale experiments (smaller, single-beneficiary experimental projects targeting technology-advanced users) and 9 use-cases (larger-budget projects, involving at least one non-technology user). The open calls will necessitate the utilisation of DIAS platforms, Copernicus data, the AI4EU platform and the services and resources that will be provided by the AI4Copernicus project. Through organising, facilitating and mentoring these Open Calls, AI4Copernicus will reach out to new user domains and boost the use of the AI4EU platform. More specifically, AI4Copernicus aims to: (1) Expand and deepen the integration of AI4EU with DIAS platforms to enrich the AI4EU service offering and enable far-reaching innovation; (2) Kickstart the innovation cycle by incentivising diverse AI4EU and Copernicus communities to solve real problems of business and societal value; and (3) Drive the evolution, uptake, and impact of all involved platforms: AI4EU and the DIAS platforms, especially WEkEO, CREODIAS and MUNDI.
Fair for Fusion (September 1, 2019 - August 31, 2021)
Open access for fusion data in Europe
The European fusion community has become increasingly collaborative over the last few decades with more experimental devices becoming available for broader groups of researchers. The diversity of devices is a great strength of the programme, but as each facility largely has developed their own data technologies, philosophies and access methodologies it has in some cases also presented challenges in sharing data even between collaborating scientists. Opening the data up and making them more easily available on a pan-European basis is a key ingredient in exploiting the investments in the research infrastructures made so far.
The overall objective of this work is to make European funde data more widely available to the fusion community, other science communities, funding bodies, and the public at large in order to maximise the impact of, the data and demonstrate the importance of the work done at relevant sites. We aim in this proposal to achieve all of the goals specified in this call by not only providing a reference architecture for such an open data platform, but to both demonstrate and elicit feedback from existing users within the fusion domain, to ensure they are both exposed to the benefits of such an open science approach and that we are able to obtain feedback to provide input into the design. We will also demonstrate these tools to other communities involved in open data initiatives (such as EOSC partners) to gain insight based on their existing experience. Tools will be created to support some underpinnings of FAIR and Open data based on policies obtained from existing which can be used both as stand-alone services and as building blocks in a future open data platform. Where possible, we will make use of existing services and tools, adapting them where necessary to meet the needs of the fusion community.
IS-ENES3 (January 1, 2019 - March 31, 2023)
Infrastructure for the European Network for Earth System modelling - Phase 3
Bringing together 22 European climate research institutions, the EU-funded IS-ENES3 project will boost understanding of past and present-day climate. It will project future variability and changes through the development and sharing of model components, modelling tools and data infrastructure. By fostering collaboration amongst modelling groups, the project will speed up the development and use of models of the Earth’s complex climate system. Networking will grow the user base, increase the cohesion of the climate modelling community, promote innovation and prepare for a sustainable infrastructure in support of climate modelling. The project will also deliver common strategies for research infrastructure. Further, it will deliver the European part of the Earth System Grid Federation.
AI4EU (January 1, 2019 - December 31, 2021)
A European AI On Demand Platform and Ecosystem
AI4EU will efficiently build a comprehensive European AI-on-demand platform to lower barriers to innovation, to boost technology transfer and catalyse the growth of start-ups and SMEs in all sectors through open calls and other actions. The platform will act as a broker, developer and one-stop shop providing and showcasing services, expertise, algorithms, software frameworks, development tools, components, modules, data, computing resources, prototyping functions and access to funding. Training will enable different user communities (engineers, civic leaders, etc.) to obtain skills and certifications. The AI4EU Platform will establish a world reference whilst interoperable with existing AI and data components and platforms. It will mobilize the whole European AI ecosystem and already unites 80 partners in 21 countries including researchers, innovators and related talents. Eight industry-driven AI pilots will demonstrate the value of the platform as an innovation tool and research on five key interconnected AI scientific areas will be carried out using platform technologies and results.
The pilots and research will showcase how AI4EU can stimulate scientific discovery and technological innovation. The AI4EU Ethical Observatory will be established to ensure the respect of human centered AI values and European regulations. Sustainability will be ensured via the creation of the AI4EU Foundation. The results will feed a new and comprehensive Strategic Research Innovation Agenda for Europe.
DARE (January 1, 2018 - December 31, 2020)
Delivering Agile Research Excellence on European e-Infrastructures
DARE aims to provide scientific communities with a unifying hyper-platform and development context to allow for user-friendly and reproducible carrying out of huge data-driven experiments, and rapid prototyping. DARE specifically addresses the requirements of innovating teams of research developers and scientists, who work on the intersection of software engineering and scientific domains, and on data, complexity and computing extremes. The size and complexity of scientific data, as well as the difficulty in formulating domain-specific solutions in reproducible and reusable ways, may often lead to throw-away, unsustainable end-user products, or long release cycles. This complexity increases exponentially with the size and diversity of input and produced data. Furthermore, widely used big-data technologies and analytics, while they are known to lead to increased productivity in commercial settings, they are often not taken advantage of in scientific. The requirement to deal with diverse exascale data resources dictates the need to ensure and increase productivity through the controlled disruption of the current modus operandi of European RIs. DARE aims to be the technological pivot for this transition, while providing transparent, traceable and developer-friendly bridges over existing infrastructures and services. Building on extensive experience in research e-infrastructures, semantification and the handling of metadata, and on bigdata technologies and domain applications, DARE will equip teams of innovators with meaningful abstractions and tools allowing for rapid prototyping of reproducible and efficient research solutions. DARE will improve further and integrate tried and tested programmatic dataflow specification APIs, big-data technologies and provenance/data-lineage solutions to address the requirements of European RIs, initially of EPOS, on Earth science, and IS/ENES2, on climate.
BigDataEurope (January 1, 2015 - December 31, 2017)
Integrating Big Data, Software and Communities for Addressing Europe’s Societal Challenges
BigDataEurope will provide support mechanisms for all the major aspects of a data value chain, in terms of the employed data and technology assets, the participating roles and the established or evolving processes. The effectiveness of the provided support mechanisms will be assessed in different domains pertaining to Europe’s major societal challenges with respect to the needs and requirements of the related communities. To this end, BigDataEurope focuses on providing an integrated stack of tools to manipulate, publish and use large-scale data resources; tools that can be installed and used freely in a customised data processing chain with minimal knowledge of the technologies involved and integrating and industrially hardening key open-source Big Data technologies and European research prototypes into a Big Data Integrator Platform, i.e. an ecosystem of specifications and reference implementations that are both attractive to current players from all parts of the data value chain while also lowering the entry barrier for new businesses.