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HORIZON-CL6-2022-CIRCBIO-...
HORIZON-CL6-2022-CIRCBIO-02-05-two-stage: Life sciences and their convergence with digital technologies for prospecting, understanding and sustainably using biological resources
ExpectedOutcome:In line with the European Green Deal and other European initiatives such as the circular economy action plan, the industrial strategy, the bioeconomy strategy and the biodiversity strategy, the successful proposal should support the uptake of bio-based innovation, to improve European industrial[1] sustainability, competitiveness and resource independence. They should develop innovative bio-based products using the full benefits of artificial intelligence and other digital technology innovation. They should engage all stakeholders and improve their knowledge and understanding of science, notably biotechnology-based value chains, and improve benefits for consumers.
Sólo fondo perdido 0 €
Europeo
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Presentación: Consorcio Consorcio: Esta ayuda está diseñada para aplicar a ella en formato consorcio..
Esta ayuda financia Proyectos:

ExpectedOutcome:In line with the European Green Deal and other European initiatives such as the circular economy action plan, the industrial strategy, the bioeconomy strategy and the biodiversity strategy, the successful proposal should support the uptake of bio-based innovation, to improve European industrial[1] sustainability, competitiveness and resource independence. They should develop innovative bio-based products using the full benefits of artificial intelligence and other digital technology innovation. They should engage all stakeholders and improve their knowledge and understanding of science, notably biotechnology-based value chains, and improve benefits for consumers.

Project results tshould contribute to all of the following outcomes:

Use the full potential of artificial intelligence applications for prospecting, understanding and sustainably using biological resources within safe planetary boundaries.Digital tools, sensors and methods for improved efficiency, climate change adaptation and sustainability of industrial processes in the bio-based sectors considering the needs of stakeholders are integrated in innovative engineering solutions.Enha... ver más

ExpectedOutcome:In line with the European Green Deal and other European initiatives such as the circular economy action plan, the industrial strategy, the bioeconomy strategy and the biodiversity strategy, the successful proposal should support the uptake of bio-based innovation, to improve European industrial[1] sustainability, competitiveness and resource independence. They should develop innovative bio-based products using the full benefits of artificial intelligence and other digital technology innovation. They should engage all stakeholders and improve their knowledge and understanding of science, notably biotechnology-based value chains, and improve benefits for consumers.

Project results tshould contribute to all of the following outcomes:

Use the full potential of artificial intelligence applications for prospecting, understanding and sustainably using biological resources within safe planetary boundaries.Digital tools, sensors and methods for improved efficiency, climate change adaptation and sustainability of industrial processes in the bio-based sectors considering the needs of stakeholders are integrated in innovative engineering solutions.Enhanced monitoring, reporting and management of natural resources using artificial intelligence and other digital technology applications.
Scope:Engineering biology applications have grown beyond chemical production to include the generation of biosensor organisms for the lab, animal, and field, modification of agricultural organisms for nutrition and pest/environmental resilience, production of organisms for bioremediation, and live cell and gene/viral therapies. The rapid expansion of the field has resulted in new tools and new approaches. However, we are still challenged by the need for novel and more robust and interoperable computational tools and models for engineering biology. For example, improved models of synthetic systems (synthetic biology) and of their interaction with their host organisms could help enable more successful engineering.

This information infrastructure for biological design is at an early stage compared to engineering disciplines such as mechanical and electrical engineering, as the biomanufacturing field has emerged only recently. A critical bottleneck is a lack of established “design rules,” core aspects of biological and biomolecular function that apply to diverse systems and applications. Furthermore, technologies for the utilization, manufacture, and deployment of innovative bio-based systems are still under development. These roadblocks have hampered the development of standard computational frameworks to represent, process and store information on biological components, predict system behaviour, and diagnose failures. Therefore, widespread automation in the bio-based sectors remains out of reach.

A mature computational infrastructure for biodesign requires powerful access to information on biological parts and systems, their environments, their manufacturing processes, and their operations in and beyond the laboratory in which they are created. This in turn requires findable, accessible, interoperable, and reusable data that enable effective aggregation information on bio-based systems, their environments, and their processes of manufacture, and the establishment of standard models of data processing and analysis, including bioinformatics, biosensors, bioindicators, ‘-omics’ technologies that allow open-development and scalable execution in the bio-based sectors.

The topic aims to prevent pollution and sustainably manage and use natural resources within safe planetary boundaries, including in the deployment of the bioeconomy and the bio-based sectors. The topic focuses on bioinformatics, “cheminformatics” and artificial intelligence as approaches and tools to transform available information into biologically or biotechnologically applicable knowledge. It also aims to efficiently integrate digital technologies into bio-based operations to optimise value chains from a technical, economic, social and environmental point of view.

Proposals should:

Enable prospecting, understanding and sustainable use of biological resources based on their convergence with digital technologies that lead to optimised and more efficient bio-based operations.Identify and characterise advanced technologies, including artificial intelligence, and their benefits for the utilisation, manufacture, and deployment of innovative bio-based systems.Develop integrated biological designs and data models for improved prospecting, understanding and deployment of higher efficiency and sustainability of biological resources and industrial bio-based operations (e.g. bioinformatics, biosensors, bioindicators, data analysis, ‘-omics’ technologies).Improve the economic and environmental sustainability of bio-based operations.Focus on the integration of -omics and machine learning techniques such as active learning for the design-build-test-learn (DBTL) cycle.Develop improved models and model standards of synthetic systems (synthetic biology) and of their interaction with their host organisms to facilitate more successful engineering and broader application in the bio-based sectors.Establish bio computer-aided design (BioCAD) tools and design-of-experiment (DoE) approaches.Reinforce and maintain scientific infrastructures to integrate existing biodiversity information (species, habitats and environmental processes).Consider contributing data and results to the European Commission’s Knowledge Centre for Bioeconomy hosted by the JRC. For this topic, it is not mandatory to integrate the gender dimension (sex and gender analysis) into research and innovation.


Specific Topic Conditions:Activities are expected to achieve TRL 4-5 by the end of the project – see General Annex B.




Cross-cutting Priorities:Digital AgendaArtificial Intelligence


[1]In synergy with European partnerships under Cluster 6, in particular Circular Bio-based Europe (CBE).

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Temáticas Obligatorias del proyecto: Temática principal:

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: Duración:
Requisitos técnicos: ExpectedOutcome:In line with the European Green Deal and other European initiatives such as the circular economy action plan, the industrial strategy, the bioeconomy strategy and the biodiversity strategy, the successful proposal should support the uptake of bio-based innovation, to improve European industrial[1] sustainability, competitiveness and resource independence. They should develop innovative bio-based products using the full benefits of artificial intelligence and other digital technology innovation. They should engage all stakeholders and improve their knowledge and understanding of science, notably biotechnology-based value chains, and improve benefits for consumers. ExpectedOutcome:In line with the European Green Deal and other European initiatives such as the circular economy action plan, the industrial strategy, the bioeconomy strategy and the biodiversity strategy, the successful proposal should support the uptake of bio-based innovation, to improve European industrial[1] sustainability, competitiveness and resource independence. They should develop innovative bio-based products using the full benefits of artificial intelligence and other digital technology innovation. They should engage all stakeholders and improve their knowledge and understanding of science, notably biotechnology-based value chains, and improve benefits for consumers.
¿Quieres ejemplos? Puedes consultar aquí los últimos proyectos conocidos financiados por esta línea, sus tecnologías, sus presupuestos y sus compañías.
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 4:. Es el primer paso para determinar si los componentes individuales funcionarán juntos como un sistema en un entorno de laboratorio. Es un sistema de baja fidelidad para demostrar la funcionalidad básica y se definen las predicciones de rendimiento asociadas en relación con el entorno operativo final. + info.
TRL esperado:

Características de la financiación

Intensidad de la ayuda: Sólo fondo perdido + info
Fondo perdido:
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Para el presupuesto subvencionable la intensidad de la ayuda en formato fondo perdido podrá alcanzar como minimo un 100%.
The funding rate for RIA projects is 100 % of the eligible costs for all types of organizations. The funding rate for RIA projects is 100 % of the eligible costs for all types of organizations.
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
No conocemos el presupuesto total de la línea
Minimis: Esta línea de financiación NO considera una “ayuda de minimis”. Puedes consultar la normativa aquí.

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