Cognitive Computing Continuum: Intelligence and automation for more efficient data processing (AI, data and robotics partnership) (RIA)
HORIZON Research and Innovation Actions
Basic Information
- Identifier
- HORIZON-CL4-2023-DATA-01-04
- Programme
- World leading data and computing technologies
- Programme Period
- 2021 - 2027
- Status
- Closed (31094503)
- Opening Date
- December 8, 2022
- Deadline
- March 29, 2023
- Deadline Model
- single-stage
- Budget
- €2,000,000
- Min Grant Amount
- €2,000,000
- Max Grant Amount
- €2,000,000
- Expected Number of Grants
- 1
- Keywords
- Artificial IntelligenceComputer hardware and architectureDigital AgendaRePowerEUComputer sciences, information science and bioinfoCo-programmed European Partnershipscloud computingInternet of thingsedge computingcomputing continuumdecentralised intelligenceedge managementcloud federationcloud managementAI-enabled clouds
Description
Projects are expected to contribute to the following outcomes:
- Enhanced openness and open strategic autonomy in the evolving data and AI-economies across the computing continuum including adapted system integration at the edge and at device level, validation of key sectors and nurturing European value chains to accelerate and steer the digital and green transitions.
- Paving the way to strategic industrial cooperation in data processing required to support future hyper-distributed applications by building open platforms, underpinning an emerging industrial open edge ecosystem critical to establishing a mature European supply chain.
- Establishment of adaptive hybrid computing, cognitive clouds and edge intelligence beyond today’s investments on data infrastructure.
- Better international collaboration with trusted partner regions, guaranteeing a minimum level of interoperability, portability thereby fostering competition in the Cloud/Edge services market for the European cloud/edge and software industry and facilitate European access to foreign markets.
The Cloud-Edge Continuum must provide seamless management schemes to allow services and data to be processed across various providers, connectivity types and network zones. This requires innovative management techniques and computational methods of the whole computing continuum from Cloud to Edge to IoT that are enabled by Swarm computing and decentralised intelligence.
It involves hyper-distributed computing approaches encompassing resources from IoT and far-edge constrained devices, to federated fog/edge computing nodes to central cloud computing centres and hybrid cloud models which exploit Artificial Intelligence techniques to advance automation and dynamic adaptation of resource management in Cloud and Edge systems, and thus intelligently balance computing tasks across decentral and central computing environments to optimize resources and quality of service.
Focus should be on autonomous and AI-enabled management schemes and data processing methods that enable this transition to a compute continuum with strong capacities at the edge and fog/IoT edge in an energy efficient and trustworthy manner. Intelligent compute, data and code orchestration mechanisms need to be integrated, which allow efficient value extraction from the huge volumes of generated data at the edge of the network and which support unprecedented levels of resource dynamicity and scalability across the compute continuum.
Concept should cater for novel automated management tools, programming models, learning and decision-making methods, and approaches able to cope with end-to-end security and identity management, resources heterogeneity, extreme scale and fault-tolerance together with elasticity to flexibly allocate resources and tasks. For learning, methods need to be able to deliver a solution to (continuous) federated learning from data distributed over the edge and in the network. For security and identity management, proposals are expected to apply state-of-the-art technologies, develop synergies and relate to activities and outcomes in Cluster 3 (namely, HORIZON-CL3-2023-CS-01-01: Secure Computing Continuum (IoT, Edge, Cloud, Dataspaces) and HORIZON-CL3-2023-CS-01-02: Privacy-preserving and identity management technologies).
Resource heterogeneity should consider the diversity of devices equipped with storage and processing capacities at the Edge and their specific characteristics (e.g., resource‐constrained devices), but also the increasingly available variety of processor architectures for these devices, including where possible, emerging open solutions (e.g. RISC-V).
Novel approaches are needed to support distributed machine learning and decision-making by providing the right balance between centralized and decentralized solutions to maximize the energy efficiency, resilience and effectiveness of the system while increasing privacy and interaction between different organizations without explicit sharing of data.
In addition, proposed solutions should incorporate tools and mechanisms enabling the optimisation of energy efficiency and ecological sustainability taking into account end-to- end data processing across the continuum. Interoperability approaches (based on open standards, interoperability models and open platforms) should be considered where appropriate.
Projects are expected to develop synergies and relate to activities and outcomes of the Digital Europe Programme (DEP) and any existing or emerging Important Projects of Common European Interest (IPCEI) initiative.
In this topic the integration of the gender dimension (sex and gender analysis) in research and innovation content is not a mandatory requirement.
International cooperation is encouraged, especially with Japan and S. Korea.
This topic implements the co-programmed European Partnership on AI, data and robotics.
Specific Topic Conditions:Activities are expected to start at TRL 2 and achieve TRL 5 by the end of the project – see General Annex B
Destination & Scope
This destination will directly support the following Key Strategic Orientations (KSOs), as outlined in the Strategic Plan:
- KSO A, ‘Promoting an open strategic autonomy by leading the development of key digital, enabling and emerging technologies, sectors and value chains to accelerate and steer the digital and green transitions through human-centred technologies and innovations.’
- KSO C, ‘Making Europe the first digitally led circular, climate-neutral and sustainable economy through the transformation of its mobility, energy, construction and production systems
Proposals for topics under this Destination should set out a credible pathway to contributing to the following expected impact of Cluster 4 as set out in Horizon Europe Strategic Plan:
- Globally attractive, secure and dynamic data-agile economy, by developing and enabling the uptake of the next-generation computing and data technologies and infrastructures (including space infrastructure and data), enabling the European single market for data with the corresponding data spaces and a trustworthy artificial intelligence ecosystem.
As data becomes the new fuel of the economy and a key asset to address our societal challenges, the EU cannot afford to have the data of its businesses, public sector and citizens stored and exploited largely outside its borders. This is affecting not only our economic performance but also our security, safety and sovereignty.
As announced in the EU data strategy (COM(2020) 66), the EU has the means to become the world’s most secure and trustful data hub. For that to happen, an important investment effort in the development of data technologies is needed to support the use, interoperability and analytical exploitation of EU-wide common data spaces targeting essential economic sectors and areas of public interest. The COVID-19 crisis showed how essential it is to master data technologies to address our societal challenges and to incentivize public and private stakeholders to trustfully share data.
The investments should cover the necessary data infrastructure and service platforms to enable virtualisation, adaptation of data and meta-data (including standards for data sharing) as well as common analytics tools. Investment in this Destination will reinforce the cloud and data infrastructure supply industry and make data accessible to research, education, businesses and governments across the EU in a way that meets European values and requirements. It will focus on energy-efficient and trustworthy data infrastructures and related services. The EU also needs to swiftly develop generic cloud to edge to IoT technologies, methods, tools and platforms for the support of future hyper-distributed applications in any business/societal sector.
Europe’s lead in the data economy also increasingly depends on its capability to autonomously develop key High Performance Computing (HPC) technologies, provide access to world-class supercomputing and data infrastructures, maintain global leadership in HPC applications, and foster the acquisition of HPC skills. This is the purpose of the activities funded by the EuroHPC Joint Undertaking.
Investments in this Destination contribute substantially to climate change objectives. Energy efficiency is a key design principle in actions, which will lead to new technologies and solutions that are cornerstones for a sustainable economy and society. These solutions range from environmentally sustainable data operations to balancing loads among centralised clouds and distributed edge computing, from decentralised energy sources to energy-harvesting sensors/devices, etc.
Finally, a robust data ecosystem rests as much on the wide, practical availability of top solutions and results, as on the transparency of the research and innovation process. To ensure trustworthiness and wide adoption by user communities for the benefit of society, actions should promote high standards of transparency and openness. Actions should ensure that the processes and outcomes of research and innovation align with the needs, values and expectations of society, in line with Responsible Research and Innovation.
This Destination is structured into the following headings, which group topics together with similar outcomes to address a common challenge:
- Data sharing and analytics capacity
As noted in Europe’s Digital Decade Communication, the ability to process vast volumes data is one of the key enablers for other technological developments, supporting the competitiveness of the EU’s industrial ecosystems. This is also an essential condition for the successful deployment of data spaces in several sectors as announced in the proposal for the 2030 Policy Programme “Path to the Digital Decade”.
Data sharing and data interoperability are still at their infancy; few data markets for sharing industrial data exist. In a recent survey[[https://ec.europa.eu/digital-single-market/en/news/sme-panel-consultation-b2b-data-sharing]], more than 40% of the SMEs interviewed claim they had problems in acquiring data from other companies. The diffusion of platforms for data sharing and the availability of interoperable datasets is one of the key success factors which may help to drive the European data economy and industrial transformation. On the other hand, Europe is developing a strong legal framework for data and is well positioned to exploit data from the public sector. The potential of European industrial data (from digitising industry) creates great synergies to feed European data ecosystems with industrial, personal, and public sector data, to be shared and exploited in full compliance with the ethical and legal framework.
In line with the FAIR principles (Findable, Accessible, Interoperable and Reusable), the overall objective is to make Europe the most successful area in the world in terms of data sharing and data re-use while respecting the legal framework relating to security and privacy and fostering collaboration and building on existing initiatives.
In parallel, recent developments in sensor networks, cyber-physical systems, and the ubiquity of the Internet of Things (IoT) and Artificial Intelligence (AI) have increased the collection of data (including health care, social media, smart communities, industry, manufacturing, education, construction, agriculture, water management finance/insurance, tourism, education, and more) to an enormous scale (by 2025, 463 exabytes of data will be produced every day in the world). There is significant potential for advances of data analytics at the intersection of many scientific, technology and societal fields (e.g. data mining, AI, complex systems, network science, statistics, natural language understanding, mathematics, particle physics, astronomy, earth observation…), and new methods and approaches are needed along the whole data life-cycle and value chain.
The overall objective is to make the EU fully autonomous in processing, combining, modelling and analysing such large amounts of data for efficiently predicting future courses of action with high accuracy and advanced decision-making strategies. The use of natural resources is reduced and waste avoided by making it possible to replace classical experiments by data-driven digital models. The technological achievements under this heading will support the development of responsible and useful AI solutions, built on high-quality and high-value data.
- From Cloud to Edge to IoT for European Data
Recent intelligence and policy development like the 2030 Digital Decade target of 10.000 climate-neutral edge nodes further confirm the crucial role of next generation Cloud-Edge-IoT in Europe’s technological base. Moreover, they provide significant elements to guide the Research needs and priorities.
Today, 80% of the processing and analysis of data takes place in data centres and centralised computing facilities, and 20% in smart connected objects; only 1 European company in 4 use cloud technologies; 75% of the European cloud market is dominated by non-EU players. Considering the pace of development in this area outside of the EU, the implementation of the activities will require R&I instruments with great flexibility, including the support of SMEs and start-ups, to nurture a European ecosystem and deliver swift results.
In line with Europe’s data, green and industrial strategies, for capitalising on the paradigm shift to the edge, Europe needs to pool major investments. Focus must be on the development and deployment of the next generation computing components, systems and platforms that enable this transition to a compute continuum with strong capacities at the edge and far edge in an energy efficient and trustworthy manner.
The overall objective of the topics in this heading is to establish the European supply and value chains in cloud to edge computing to Internet of Things (IoT) and tactile internet by integrating relevant elements of computing, connectivity, IoT, AI cybersecurity. New cloud/edge technologies with enhanced performance enabled by AI will increase European autonomy in the data economy required to support future hyper-distributed applications.
Finally, actions on high-end computing for exascale performance and beyond will be entirely implemented in the Joint Undertaking EuroHPC.
The overall objective such actions is to ensure digital autonomy for Europe in key high-end supercomputing technology (hardware and software) and applications, and developing the first exascale supercomputer based predominantly on European technology by 2026.
Activities beyond R&I investments will be needed to realise the expected impacts: testing, experimentation, demonstration, and support for take-up using the capacities, infrastructures, and European Digital Innovation Hubs made available under the Digital Europe Programme; large-scale roll-out of innovative new technologies and solutions (e.g. interconnections between High-Performance Computing centres) via the Connecting Europe Facility; further development of skills and competencies via the European Institute of Innovation and Technology, in particular EIT Digital; upscaling of trainings via the European Social Fund +; and use of financial instruments under the InvestEU Fund for further commercialisation of R&I outcomes.
Expected impact
Proposals for topics under this Destination should set out a credible pathway to contributing to world-leading data and computing technologies, and more specifically to one or several of the following impacts:
- Improved European leadership in the global data economy
- Maximised social and economic benefits from the wider and more effective use of data
Reinforced Europe’s ability to manage urgent societal challenges (e.g. data for crisis management, digital for clean).
Innovation Actions — Legal entities established in China are not eligible to participate in Innovation Actions in any capacity. Please refer to the Annex B of the General Annexes of this Work Programme for further details.
Eligibility & Conditions
General conditions
1. Admissibility conditions: described in Annex A and Annex E of the Horizon Europe Work Programme General Annexes.
Proposal page limits and layout: described in Part B of the Application Form available in the Submission System.
2. Eligible countries: described in Annex B of the Work Programme General Annexes.
A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon Europe projects. See the information in the Horizon Europe Programme Guide.
3. Other eligibility conditions: described in Annex B of the Work Programme General Annexes.
If projects use satellite-based earth observation, positioning, navigation and/or related timing data and services, beneficiaries must make use of Copernicus and/or Galileo/EGNOS (other data and services may additionally be used).
4. Financial and operational capacity and exclusion: described in Annex C of the Work Programme General Annexes.
5. Evaluation and award:
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Award criteria, scoring and thresholds are described in Annex D of the Work Programme General Annexes.
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Submission and evaluation processes are described in Annex F of the Work Programme General Annexes and the Online Manual.
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Indicative timeline for evaluation and grant agreement: described in Annex F of the Work Programme General Annexes.
6. Legal and financial set-up of the grants: described in Annex G of the Work Programme General Annexes.
Eligible costs will take the form of a lump sum as defined in the Decision of 7 July 2021 authorising the use of lump sum contributions under the Horizon Europe Programme – the Framework Programme for Research and Innovation (2021-2027) – and in actions under the Research and Training Programme of the European Atomic Energy Community (2021-2025). [[This decision is available on the Funding and Tenders Portal, in the reference documents section for Horizon Europe, under ‘Simplified costs decisions’ or through this link: https://ec.europa.eu/info/funding-tenders/opportunities/docs/2021-2027/horizon/guidance/ls-decision_he_en.pdf]].
Specific conditions
7. Specific conditions: described in the specific topic of the Work Programme.
Documents
Call documents:
Standard application form (HE RIA, IA) — call-specific application form is available in the Submission System
Standard evaluation form (HE RIA, IA) — will be used with the necessary adaptations
Lump Sum MGA v1.0 — MGA
Detailed budget table (HE LS))
Guidance: "Lump sums - what do I need to know?"
Additional documents:
HE Main Work Programme 2023–2024 – 1. General Introduction
HE Main Work Programme 2023–2024 – 7. Digital, Industry and Space
HE Main Work Programme 2023–2024 – 13. General Annexes
HE Framework Programme and Rules for Participation Regulation 2021/695
HE Specific Programme Decision 2021/764
Rules for Legal Entity Validation, LEAR Appointment and Financial Capacity Assessment
EU Grants AGA — Annotated Model Grant Agreement
Funding & Tenders Portal Online Manual
Support & Resources
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Horizon Europe Programme Guide contains the detailed guidance to the structure, budget and political priorities of Horizon Europe.
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The European Charter for Researchers and the Code of Conduct for their recruitment – consult the general principles and requirements specifying the roles, responsibilities and entitlements of researchers, employers and funders of researchers.
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Latest Updates
We would like to draw your attention to an update of the “Detailed Budget Table” Excel template. A new template has been republished for your kind consideration and use.
An additional paragraph has been added to the instructions tab, explaining how to save the detailed budget table and how to upload it in the submission system:
“After you completed this Excel workbook, you must also complete the table ‘Budget for the proposal’ in Part A of the proposal, entering the requested EU contribution for each participant. Fill the Part A budget table using the total for each participant from the sheet ‘Lump sum breakdown’ in this Excel workbook. The format of this Excel workbook is .xlsm because it uses macros to generate sheets and make calculations automatically. Always save it as .xlsm. However, this format cannot be uploaded to the submission system for security reasons. Therefore, to submit the completed workbook, save a copy as an .xlsx or .xls document (and not as .xlsm) and upload it to the proposal submission tool
You can still use the template initially available in the submission system if you wish to, but please be aware of the instructions on how to upload and save the file.