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HORIZON-CL4-2023-HUMAN-01-04
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Center graph on this topic →According to the call text, "Proposals are expected to dedicate tasks and resources to collaborate with and provide input to the open innovation challenge under HORIZON-CL4-2023-HUMAN-01-04 addressing explainability and robustness. Research teams involved in the proposals are expected to participate in the respective Innovation Challenges."
Proposals are expected to dedicate tasks and resources to collaborate with and provide input to the open innovation challenge under HORIZON-CL4-2023-HUMAN-01-04.
Proposals under HORIZON-CL4-2024-HUMAN-03-01 are expected to dedicate tasks and resources to collaborate with and provide input to the open innovation challenge under HORIZON-CL4-2023-HUMAN-01-04.
Connected via HORIZON-CL4-2024-HUMAN-03-02, not directly to the current topic.
The call HORIZON-CL4-2024-HUMAN-01 was cancelled on short notice and the topic HORIZON-CL4-2024-HUMAN-01-06 was called instead as HORIZON-CL4-HUMAN-03-02 later that same year.
Connected via HORIZON-CL4-2024-HUMAN-03-02, not directly to the current topic.
Explainable and robust AI being crucial for AI Act compliance.
Connected via HORIZON-CL4-2024-HUMAN-03-02, not directly to the current topic.
Build on robust and trustworthy AI.
Connected via HORIZON-CL4-2024-HUMAN-03-02, not directly to the current topic.
Mentioned in the topic text.
Connected via HORIZON-CL4-2024-HUMAN-03-02, not directly to the current topic.
Trustworthy and robust AI shared theme.
Connected via HORIZON-CL4-2024-HUMAN-03-02, not directly to the current topic.
Topic asks for "contribution to data spaces".
Connected via HORIZON-CL4-2024-HUMAN-03-02, not directly to the current topic.
Topic asks for "contribution to data spaces".
Connected via HORIZON-CL4-2024-HUMAN-03-02, not directly to the current topic.
DEP topic addresses the AI Act.
Connected via HORIZON-CL4-2024-HUMAN-03-02, not directly to the current topic.
Topic asks for "contribution to data spaces".
Connected via HORIZON-CL4-2024-HUMAN-03-02, not directly to the current topic.
Topic asks for "contribution to data spaces".
Connected via HORIZON-CL4-2024-HUMAN-03-02, not directly to the current topic.
Topic asks for "contribution to data spaces".
Connected via HORIZON-CL4-2024-HUMAN-01-07, not directly to the current topic.
Both topics are part of the AI, Data, and Robotics Partnership and focus on the development of collaborative intelligence. HORIZON-CL4-2024-HUMAN-01-02 aims at combining the best of machine and human intelligence, while the HORIZON-CL4-2024-DIGITAL-EMERGING-01-03 focuses on creating AI-powered robots with advanced functionalities. Collaborative intelligence can significantly enhance the capabilities of AI-powered robots.
Connected via HORIZON-CL4-2024-HUMAN-03-01, not directly to the current topic.
DIGITAL-2024-AI-06-FINETUNE and HORIZON-CL4-2024-HUMAN-03-01 both centre on the development of European AI foundation models, only at different development stages and on different scales.
Connected via HORIZON-CL4-2024-HUMAN-03-01, not directly to the current topic.
DIGITAL-2024-AI-06-LANGUAGE-01 centres on providing data for the development of European large language models, which may be used also as part of the multimodal foundation models developed under HORIZON-CL4-2024-HUMAN-03-01.
Connected via HORIZON-CL4-2024-HUMAN-03-01, not directly to the current topic.
ICT-22-2014 - Multimodal and Natural Computer Interaction - focuses on enabling systems to handle multimodal inputs such as voice, gesture, and text for natural interaction). The topic complements "HORIZON-CL4-2024-HUMAN-03-01 Advancing Large AI Models" by having a focus on multimodal data integration and interaction.
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Expected Outcome:
Projects are expected to contribute to the following outcomes:
Scope:
AI is a general-purpose technology that is expected to substantially contribute to all sectors and applications. AI technologies have demonstrated great value and potential in areas as diverse as healthcare, supply chain logistics, space-based imagery analysis, cybersecurity. However, there are challenges that AI technologies are facing. When it comes to deployment of AI technologies, reliable performance is required. Despite its huge potential and its ability to cut down on tasks and costs, AI faces trust issues with humans. At the same time, the failure modes of AI technologies are poorly understood.
Open innovation challenges can foster broad and robust progress on generic AI research challenges. The resulting scientific progress resulting such challenges will contribute to the robustness of AI systems in general, enabling a multitude of different applications across many sectors.
Proposals are expected to organize open innovation challenges aiming to bring the best research teams across variety of public and private organisations that try to tackle and crack major S&T challenges in AI by benchmarking different solutions. The open innovation challenges will be bootstrapped by engaging EU funded projects to participate. Newcomers, rising stars and the wider AI community should be able to join the challenges, giving them the opportunity to benchmark against prestigious teams. The best performing team(s) should be awarded with either with monitory prizes[1], which industry can co-sponsor, and/or non-monetary prizes, e.g. co-authorship of a paper in a prestigious scientific journal, internship in prestigious labs or companies.
Proposals should address the delivery of open innovation challenges with the aim to
Proposals are expected to
All proposals are expected to embed mechanisms to assess and demonstrate progress (with qualitative and quantitative KPIs, benchmarking and progress monitoring), and share results with the European R&D community, through the AI-on-demand platform, public community resources, to maximise re-use of results, either by developers, or for uptake, and optimise efficiency of funding; enhancing the European AI, Data and Robotics ecosystem through the sharing of results and best practice.
Furthermore it is expected that the participating teams will make their algorithms and methods available and re-usable (e.g. through the AI on Demand Platform) to ensure scientific and technological progress.
Financial support to third parties: A minimum of 50% of the EU funding requested by the proposal should be allocated to the purpose of financial support to third parties.
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Activities covered under FSTP are expected to start at TRL 2-3 and achieve TRL 4-5 by the end of the project – see General Annex B.
[1] Large industry as well as project beneficiaries from CL4-2023-HUMAN-01-01, CL4-2024-HUMAN-01-01, CL4-2024-HUMAN-01-02 and CL4-2024-HUMAN-01-03 will not be eligible for monetary prizes
[2] This concerns topics CL4-2023-HUMAN-01-01, CL4-2024-HUMAN-01-01, CL4-2024-HUMAN-01-02 and CL4-2024-HUMAN-01-03
[3] Proposals should also allow citizens to contribute to the definition of challenges
[4] Encouraging and promoting diversity among AI researchers incl. gender and race, socio-cultural background, etc.
[5] Encouraging and promoting diversity among AI researchers incl. gender and race, socio-cultural background, etc.
[6] Projects funded under the following calls/topics: H2020-ICT48, HORIZON-CL4-2021-HUMAN-01-03HORIZON-CL4-2022-HUMAN-02-02)
EVALUATION results
Published: 07/12/2022
Deadline: 29/03/2023
Available budget: EUR 201 500 000
The results of the evaluation are as follows:
Number of proposals submitted (including proposals transferred from or to other calls): 203
Number of inadmissible proposals: 7
Number of ineligible proposals: 8
Number of above-threshold proposals: 135
Total budget requested for above-threshold proposals: EUR 920,801,927.03
We recently informed the applicants about the evaluation results for their proposals.
For questions, please contact the Research Enquiry Service.
EVALUATION results
Published: 07/12/2022
Deadline: 29/03/2023
Available budget: EUR 201 500 000
The results of the evaluation are as follows:
Number of proposals submitted (including proposals transferred from or to other calls): 203
Number of inadmissible proposals: 7
Number of ineligible proposals: 8
Number of above-threshold proposals: 135
Total budget requested for above-threshold proposals: EUR 920,801,927.03
We recently informed the applicants about the evaluation results for their proposals.
For questions, please contact the Research Enquiry Service.
Call HORIZON-CL4-2023-HUMAN-01 has closed on the 29 March 2023.
203 proposals have been submitted.
The breakdown per topic is:
Evaluation results are expected to be communicated in July 2023.
Call HORIZON-CL4-2023-HUMAN-01 has closed on the 29 March 2023.
203 proposals have been submitted.
The breakdown per topic is:
Evaluation results are expected to be communicated in July 2023.
Following the Council Implementing Decision (EU) 2022/2506, as of 16th December 2022, no legal commitments (including the grant agreement itself as well as subcontracts, purchase contracts, financial support to third parties etc.) can be signed with Hungarian public interest trusts established under Hungarian Act IX of 2021 or any entity they maintain.
Affected entities may continue to apply to calls for proposals. However, in case the Council measures are not lifted, such entities are not eligible to participate in any funded role (beneficiaries, affiliated entities, subcontractors, recipients of financial support to third parties). In this case, co-applicants will be invited to remove or replace that entity /or to change its status into associated partner. Tasks and budget may be redistributed accordingly.
Following the Council Implementing Decision (EU) 2022/2506, as of 16th December 2022, no legal commitments (including the grant agreement itself as well as subcontracts, purchase contracts, financial support to third parties etc.) can be signed with Hungarian public interest trusts established under Hungarian Act IX of 2021 or any entity they maintain.
Affected entities may continue to apply to calls for proposals. However, in case the Council measures are not lifted, such entities are not eligible to participate in any funded role (beneficiaries, affiliated entities, subcontractors, recipients of financial support to third parties). In this case, co-applicants will be invited to remove or replace that entity /or to change its status into associated partner. Tasks and budget may be redistributed accordingly.
This call topic has been appended 8 times by the EC with news.
HORIZON-CL4-2023-HUMAN-01-CNECT
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Call published · 30 Sep 2024 (2 years ago)
All expected milestones for this call have passed.
Work programme published
07 Oct 2022 · est.
Call opens
08 Dec 2022
Call closes
29 Mar 2023
Outcome expected
29 Aug 2023 · est.
Grant agreement signed
29 Nov 2023 · est.
Call published
30 Sep 2024
Work programme published Estimated
07 Oct 2022 · 4 years ago
Topics are listed in the Work Programme before the call opens. Spotting this early gives you a head start on partner search and proposal planning.
Call opens
08 Dec 2022 · 3 years ago
Submissions can be made from this date.
Call closes
29 Mar 2023 · 3 years ago
Deadline to submit a proposal.
Outcome expected Estimated
29 Aug 2023 · 3 years ago
The maximum time to inform applicants of the evaluation outcome is five months after the call closes.
Grant agreement signed Estimated
29 Nov 2023 · 2 years ago
The maximum time to sign the grant agreement is three months after applicants are informed of the outcome.
Call published
30 Sep 2024 · 2 years ago
This topic was first published in TopicTree.
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This call topic is part of the following thematic bubbles.
This large ecosystem bubble includes all the call topics in the field of AI, data and robotics from H2020, Horizon Europe Cluster 4 and Digital Europe...
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