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HORIZON-CL4-2024-DATA-01-...
HORIZON-CL4-2024-DATA-01-01: AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA)
ExpectedOutcome:Projects are expected to contribute to the following outcomes:
Sólo fondo perdido 38M €
Europeo
Esta convocatoria está cerrada Esta línea ya está cerrada por lo que no puedes aplicar. Cerró el pasado día 19-03-2024.
Se espera una próxima convocatoria para esta ayuda, aún no está clara la fecha exacta de inicio de convocatoria.
Hace más de 9 mes(es) del cierre y aún no tenemos información sobre los proyectos financiados, no parece que se vaya a publicar esta información.
Presentación: Consorcio Consorcio: Esta ayuda está diseñada para aplicar a ella en formato consorcio..
Esta ayuda financia Proyectos:

ExpectedOutcome: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 solutionsContribute 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... ver más

ExpectedOutcome: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 solutionsContribute 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

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Temáticas Obligatorias del proyecto: Temática principal: The project aims to ensure compliance with data regulations and reduce bias, time-to-market, and environmental impact while fostering trust in data-driven systems. It focuses on developing efficient systems, compliance tools, and data economy enablers for Common European data spaces with a strong emphasis on environmental sustainability and legal, ethical, and societal compliance.
Artificial Intelligence Digital Regulation Compliance Data Governance Common European data spaces Environmental Sustainability Legal compliance Ethical compliance Societal compliance Trust in data-driven systems

Características del consorcio

Ámbito Europeo : La ayuda es de ámbito europeo, puede aplicar a esta linea cualquier empresa que forme parte de la Comunidad Europea.
Tipo y tamaño de organizaciones: El diseño de consorcio necesario para la tramitación de esta ayuda necesita de:

Características del Proyecto

Requisitos de diseño: *Presupuesto para cada participante en el proyecto
Requisitos técnicos: The expected impacts of the project include enabling compliance with regulations, such as GDPR, fostering trust in data-driven systems, reducing bias in datasets, enhancing time-to-market efficiency, contributing to Common European data spaces, and reducing the environmental footprint of data operations to align with the Green Deal target of no net emissions by 2050. The expected impacts of the project include enabling compliance with regulations, such as GDPR, fostering trust in data-driven systems, reducing bias in datasets, enhancing time-to-market efficiency, contributing to Common European data spaces, and reducing the environmental footprint of data operations to align with the Green Deal target of no net emissions by 2050.
Capítulos financiables: Los capítulos de gastos financiables para esta línea son:
Personnel costs.
Subcontracting costs.
Purchase costs.
Other cost categories.
Indirect costs.
Madurez tecnológica: La tramitación de esta ayuda requiere de un nivel tecnológico mínimo en el proyecto de TRL 6:. Representa un paso importante en demostrar la madurez de una tecnología. Se construye un prototipo de alta fidelidad que aborda adecuadamente las cuestiones críticas de escala, que opera en un entorno relevante, y que debe ser a su vez una buena representación del entorno operativo real. + info.
TRL esperado:

Características de la financiación

Intensidad de la ayuda: Sólo fondo perdido + info
Fondo perdido:
Para el presupuesto subvencionable la intensidad de la ayuda en formato fondo perdido podrá alcanzar desde un 70% hasta un 100%.
The funding rate for IA projects is 70 % for profit-making legal entities and 100 % for non-profit legal entities. The funding rate for IA projects is 70 % for profit-making legal entities and 100 % for non-profit legal entities.
Garantías:
No exige Garantías
No existen condiciones financieras para el beneficiario.

Información adicional de la convocatoria

Efecto incentivador: Esta ayuda no tiene efecto incentivador. + info.
Respuesta Organismo: Se calcula que aproximadamente, la respuesta del organismo una vez tramitada la ayuda es de:
Meses de respuesta:
Muy Competitiva:
No Competitiva Competitiva Muy Competitiva
El presupuesto total de la convocatoria asciende a
Presupuesto total de la convocatoria.
Proyectos financiables en esta convocatoria.
Minimis: Esta línea de financiación NO considera una “ayuda de minimis”. Puedes consultar la normativa aquí.
Certificado DNSH: Los proyectos presentados a esta línea deben de certificarse para demostrar que no causan perjuicio al medio ambiente. + info

Otras ventajas

Sello PYME: Tramitar esta ayuda con éxito permite conseguir el sello de calidad de “sello pyme innovadora”. Que permite ciertas ventajas fiscales.
Deducción I+D+i:
0% 25% 50% 75% 100%
La empresa puede aplicar deducciones fiscales en I+D+i de los gastos del proyecto y reducir su impuesto de sociedades. + info
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