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HORIZON-CL3-2022-DRS-01-0...
HORIZON-CL3-2022-DRS-01-03: Improved quality assurance / quality control of data used in decision-making related to risk management of natural hazards, accidents and CBRN events
ExpectedOutcome:Projects’ results are expected to contribute to the following outcomes:
Sólo fondo perdido 0 €
Europeo
Esta convocatoria está cerrada Esta línea ya está cerrada por lo que no puedes aplicar. Cerró el pasado día 23-11-2022.
Se espera una próxima convocatoria para esta ayuda, aún no está clara la fecha exacta de inicio de convocatoria.
Por suerte, hemos conseguido la lista de proyectos financiados!
Presentación: Consorcio Consorcio: Esta ayuda está diseñada para aplicar a ella en formato consorcio..
Esta ayuda financia Proyectos:

ExpectedOutcome:Projects’ results are expected to contribute to the following outcomes:

Evaluation of Quality Assurance / Quality Control (QA/QC) needs in areas not prone to systematic quality checks prior to decision-making in the natural hazards and CBRN-E areas, for physical, chemical and biological parameters.Based on past experience, organised intercomparisons among laboratories and institutes at EU level which are in charge of providing data for risk- and evidence-based decision-making in order to evaluate the comparability of data produced worldwide. Production of reference materials and possible certification schemes for the systematic checking of laboratory and method’s performance for monitoring data used in risk- and evidence-based decision-making that are not prone to readily established schemes.


Scope:Risk management of natural hazards and CBRN-E events closely rely on available data, taking into account uncertainties brought on by climate change and Earth dynamics. The soundness of decisions is based on quality data, which justifies that continuous efforts are made to improve their quality assurance / quality control, in particular in... ver más

ExpectedOutcome:Projects’ results are expected to contribute to the following outcomes:

Evaluation of Quality Assurance / Quality Control (QA/QC) needs in areas not prone to systematic quality checks prior to decision-making in the natural hazards and CBRN-E areas, for physical, chemical and biological parameters.Based on past experience, organised intercomparisons among laboratories and institutes at EU level which are in charge of providing data for risk- and evidence-based decision-making in order to evaluate the comparability of data produced worldwide. Production of reference materials and possible certification schemes for the systematic checking of laboratory and method’s performance for monitoring data used in risk- and evidence-based decision-making that are not prone to readily established schemes.


Scope:Risk management of natural hazards and CBRN-E events closely rely on available data, taking into account uncertainties brought on by climate change and Earth dynamics. The soundness of decisions is based on quality data, which justifies that continuous efforts are made to improve their quality assurance / quality control, in particular in the natural hazards area as well as in the CBRN-E area. In many instances, measurement data used in decision-making are rarely challenged in the areas of crisis management and/or mechanisms are still underdeveloped to systematically demonstrate their quality (e.g. in the case of substances of criminal nature such as biological toxins). Quality assurance / Quality control (QA/QC) are prone to standardised procedures such as the EN 45000 Series, which includes requirements related to laboratory settings, analytical techniques, criteria for analytical performances (e.g. accuracy, repeatability, limits of detection etc.) that are well implemented in sectors such as the environment (including water), food and health. In other areas requiring monitoring data of physical, chemical or biological nature related to risk assessment of natural hazards such as climate threats and pandemics, man-made (accidental) risks (e.g. chemical substances in Seveso-type environments) or terrorism threats (e.g. chemical or biological toxins used for criminal purposes), the QA/QC rules are much less known and followed. In particular, the systematic comparison of measurement techniques related to risk assessment of natural hazards (including health) and CBRN-E data is not wide-spread and references data or materials are often lacking. Recent developments have led to the testing of proficiency testing schemes for biological toxins of potential bioterrorism risk, but a general framework for checking data quality and controlling laboratory and analytical technique performances (including from measurement data directly gathered in the field) does not yet exist at European level. There is hence a need to evaluate the needs for QA/QC developments in relevant areas for which physical, chemical and biological measurement data are insufficiently checked for quality, and to develop an appropriate EU-wide approach to improve and demonstrate this quality, thus ensuring a traceability and comparability of data used throughout Europe for sound risk- and evidence-based decision-making.


Specific Topic Conditions:Activities are expected to achieve TRL 6-8 by the end of the project – see General Annex B.




Cross-cutting Priorities:Artificial IntelligenceDigital Agenda


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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:Projects’ results are expected to contribute to the following outcomes: ExpectedOutcome:Projects’ results are expected to contribute to the following outcomes:
¿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 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:
0% 25% 50% 75% 100%
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
No conocemos el presupuesto total de la línea
Minimis: Esta línea de financiación NO considera una “ayuda de minimis”. Puedes consultar la normativa aquí.

Otras ventajas

Sello PYME: Tramitar esta ayuda con éxito permite conseguir el sello de calidad de “sello pyme innovadora”. Que permite ciertas ventajas fiscales.