HORIZON-CL4-2024-DATA-01-01
AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) -
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DIGITAL-2021-CLOUD-AI-01-SUPPCENTRE
Data Spaces Support CentreMOTIVATION The Horizon topic contributes to open, trusted and federated Common European data spaces. The aim is to provide Common European data spaces and AI data provision with reliable mechanisms to monitor, control and track/record transactions on data, to ensure compliance.
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DIGITAL-2025-AI-08-SUPPLY-AI
Apply AI: GenAI for the public administrationsMOTIVATION Projects under this topic are expected to enable companies and public sector to easily comply with existing and emerging regulation and to allow citizens to feel more confident that data-driven systems treat them in a fair, unbiased and compliant way and respect their privacy/anonymity and other rights.
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DIGITAL-2025-AI-08-DS-SUPPORT
Data Spaces Support CentreMOTIVATION Projects under this topic are expected to contribute to open, trusted and federated Common European data spaces
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HORIZON-CL4-2021-DATA-01-01
Technologies and solutions for compliance, privacy preservation, green and responsible data operations (AI, Data and Robotics Partnership) (RIA)MOTIVATION Mentioned in the 2024 call topic.
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DT-ICT-13-2019
Digital Platforms/Pilots Horizontal ActivitiesMOTIVATION Mentioned in the 2024 call text.
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HORIZON-CL4-2023-HUMAN-01-01
Efficient trustworthy AI - making the best of data (AI, Data and Robotics Partnership) (RIA)MOTIVATION Mentioned in the 2024 call topic.
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HORIZON-CL4-2024-DIGITAL-EMERGING-01-04
Industrial leadership in AI, Data and Robotics boosting competitiveness and the green transition (AI Data and Robotics Partnership) (IA)[[https://www.europarl.europa.eu/RegData/etudes/STUD/2021/662906/IPOL_STU(2021)662906_EN.pdf]]MOTIVATION Shared Green Deal / Green Transition goals.
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HORIZON-CL4-2024-HUMAN-03-02
Explainable and Robust AI (AI Data and Robotics Partnership) (RIA)MOTIVATION Explainable and robust AI being crucial for AI Act compliance.
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HORIZON-CL4-2021-HUMAN-01-01
Verifiable robustness, energy efficiency and transparency for Trustworthy AI: Scientific excellence boosting industrial competitiveness (AI, Data and Robotics Partnership) (RIA)MOTIVATION Trustworthiness and energy efficiency shared goals.
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HORIZON-CL4-2021-DIGITAL-EMERGING-01-09
AI, Data and Robotics for the Green Deal (AI, Data and Robotics Partnership) (IA)MOTIVATION AI with a strong Green Deal motivation.
Call text (as on F&T portal)
View on F&T portalExpected Outcome
Projects are expected to contribute to the following outcomes:
- To enable companies and public sector to easily comply with existing and emerging regulation (e.g. GDPR[1], Data Governance Act[2], Data Act, Artificial Intelligence Act[3]) and create value on data assets that they possess or that they acquire from the market, and to allow citizens to feel more confident that data-driven systems treat them in a fair, unbiased and compliant way and respect their privacy/anonymity and other rights, and keep track of the use of personal data in a world where “everything” moves online.
- Define, quantify and measure bias in data sets (especially those used for AI development).
- Shorten the time-to-market and reduce development costs of compliant data solutions
- Contribute to open, trusted and federated Common European data spaces.
- Quantify and reduce the environmental footprint of data operations which will contribute to the Green Deal target “no net emissions of greenhouse gases by 2050”[4].
Scope
Developing, piloting and integrating systems, compliance tools and data economy enablers that process the increasing data volumes more efficiently, distil more useful knowledge from data, and contribute to the measurement, labelling, certification and reduction of the environmental footprint of massive data operations (e.g. by minimizing data transfers/traffic, improving energy reuse and/or reducing energy consumption of AI training/machine learning, privacy preservation and other processes).
The technologies should respond to the emerging needs for practical, affordable and automated compliance tools (e.g. privacy preservation, smart contracting, consent management, bias detection, quality measurement, tracking of uses of data etc.), as well as design principles and architectures that are inherently compliant, addressing the relevant cybersecurity issues. Compliance should be understood in the broad sense, involving legal, ethical and environmental compliance. The competences represented in the consortium should cover all the relevant aspects (technical, legal, commercial, societal, ethical) appropriately.
The aim is to provide Common European data spaces[5] and AI data provision with reliable mechanisms to monitor, control and track/record transactions on data, to ensure compliance.
To this end, projects are invited to employ appropriate technologies and methods, such as federated and distributed AI/analytics and associate them with trustworthy AI techniques; protect privacy and confidentiality of AI training data and reduce energy footprint.
Proposed actions should build on or seek collaboration with existing projects and develop synergies with other relevant European, national or regional initiatives, funding programmes and platforms. In particular, they should build on the results of the Horizon 2020 data platform projects (topic ICT-13-2019) and the results of projects selected under topic HORIZON-CL4-2021-DATA-01-01, as well as the projects to be selected under topic HORIZON-CL4-2023-HUMAN-01-01. Likewise, the proposed actions should create links and seek synergies, where appropriate, with the Common European Data Spaces and European Digital Innovation Hubs funded under the Digital Europe programme. Interoperability for data sharing should be addressed, where relevant, focusing on open, standardised, and trusted concepts.
This topic implements the co-programmed European Partnership on AI, data and robotics.
Specific Topic Conditions:Activities are expected to start at TRL 4-5 and achieve TRL 6-7 by the end of the project – see General Annex B.
[1]https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A32016R0679
[2]https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32022R0868
[3]The Data Act and the Artificial Intelligence Act are (at the time of writing this WP) at the stage of Commission legislative proposals. They are likely to be adopted by the closure of the call, and will appear in the Eur-lex repository of legislation.
[4]See the communication “The European Green Deal” https://eur-lex.europa.eu/legal-content/EN/TXT/?qid=1576150542719&uri=COM%3A2019%3A640%3AFIN
[5]As defined in the communication “A European strategy for data”, see https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52020DC0066
News flashes
EVALUATION results
Published: 07.12.2022
Deadline: 19.04.2024
Available budget: EUR 85,000,000
The results of the evaluation for each topic are as follows:
HORIZON-CL4-2024-DATA-01-01
HORIZON-CL4-2024-DATA-01-03
HORIZON-CL4-2024-DATA-01-05
Number of proposals submitted (including proposals transferred from or to other calls)
33
30
4
Number of inadmissible proposals
0
1
0
Number of ineligible proposals
1
0
1
Number of above-threshold proposals
21
11
2
Total budget requested for above-threshold proposals
EUR 193,599,275.75
EUR 90,951,273.53
EUR 4,001,250
Number of proposals retained for funding
4
2
1
Number of proposals in the reserve list
2
2
1
Funding threshold[1]
13.50
13.50
15
Number of proposals with scores lower or equal to 15 and higher or equal to 14
3
0
1
Number of proposals with scores lower than 14 and higher or equal to 13
5
4
1
Number of proposals with scores lower than 13 and higher or equal to 10
12
7
0
Summary of observer report:
The evaluation of proposals for call HORIZON-CL4-2024-DATA-01 went smoothly, according to the applicable rules and time frame established, without any relevant issues or concerns.
All personnel involved carried out the assigned tasks in a highly professional manner, striving to ensure fairness, thoroughness, and impartiality.
Any incidents in the process were minor and were promptly resolved by the corresponding roles.
We recently informed the applicants about the evaluation results for their proposals.
For questions, please contact: the Research Enquiry Service.
[1] Proposals with the same score were ranked according to the priority order procedure set out in the call conditions (for HE, in the General Annexes to the Work Programme or specific arrangements in the specific call/topic conditions).
CALL UPDATE: PROPOSAL NUMBERS
Call HORIZON-CL4-2024-DATA-01 has closed on the 19/03/2024.
67 proposals have been submitted.
The breakdown per topic is:
- HORIZON-CL4-2024-DATA-01-01: 33 proposals
- HORIZON-CL4-2024-DATA-01-03: 30 proposals
- HORIZON-CL4-2024-DATA-01-05: 4 proposals
Evaluation results are expected to be communicated in July 2024.
Publication date: 2022-12-07 (2 years ago)
Opening date: 2023-11-15 (1 year ago)
Closing date: 2024-03-19 (1 year ago)
Procedure: single-stage
Budget: 38000000
Expected grants: 4
Contribution: 8000000 - 10000000
This call topic has been appended 3 times by the EC with news.
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2024-07-16
evaluation resultspublished: 07.12.2022d... -
2024-04-08
call update: proposal numberscall horizo... -
2023-11-15
the submission session is now available...
HORIZON-CL4-2024-DATA-01
Call topics are often grouped together in a call. Sometimes this is for a thematic reason, but often it is also for practical reasons.
There are 2 other topics in this call:
Showing the latest information. Found 3 versions of this call topic in the F&T portal.
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- 2024-09-30_21-21-04
- 2024-07-04_15-01-24
- 2024-03-30_14-19-09
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Opening date
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