Innovating Works

H2020

Cerrada
HORIZON-CL4-2022-DATA-01-...
HORIZON-CL4-2022-DATA-01-05: Extreme data mining, aggregation and analytics technologies and solutions (RIA)
ExpectedOutcome:Proposal results are expected to contribute to the following expected 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 05-04-2022.
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:Proposal results are expected to contribute to the following expected outcomes:

provide better technologies, tools and solutions for data mining (searching and processing) of large, constantly growing amounts and varieties of data, and/or extremely sparse/dispersed/heterogeneous/multilingual data (stored centrally or in distributed/decentralized systems), in particular IoT, industrial, business, administrative, environmental, scientific or societal data.
Scope:The actions under this topic are expected to provide ground-breaking advances in the performance, speed and/or accuracy as well as usefulness of data discovery, collection, mining, filtering and processing in view of coping with “extreme data”: (defined as data that exhibits one or more of the following characteristics, to an extent that makes current technologies fail: increasing volume, speed, variety; complexity/diversity/multilinguality of data; the dispersed data sources; sparse/missing/insufficient data/extreme variations in values). The technologies and solutions are expected to discover and distil meaningful, reliable and useful data from heterogeneous and dispersed/scarce sources a... ver más

ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes:

provide better technologies, tools and solutions for data mining (searching and processing) of large, constantly growing amounts and varieties of data, and/or extremely sparse/dispersed/heterogeneous/multilingual data (stored centrally or in distributed/decentralized systems), in particular IoT, industrial, business, administrative, environmental, scientific or societal data.
Scope:The actions under this topic are expected to provide ground-breaking advances in the performance, speed and/or accuracy as well as usefulness of data discovery, collection, mining, filtering and processing in view of coping with “extreme data”: (defined as data that exhibits one or more of the following characteristics, to an extent that makes current technologies fail: increasing volume, speed, variety; complexity/diversity/multilinguality of data; the dispersed data sources; sparse/missing/insufficient data/extreme variations in values). The technologies and solutions are expected to discover and distil meaningful, reliable and useful data from heterogeneous and dispersed/scarce sources and deliver it to the requesting application/user with minimal delay and in the appropriate format. In particular, the advances should enable the development of trustworthy, accurate, green and fair AI systems where quality of data is as important as quantity and/or support industrial distributed decision-making tasks at appropriate level in the computing continuum (edge/fog/cloud). Insofar the results are intended for human use, the design of these tools should take into account the relevant human aspects and interactions with users.

The actions should address the integration of relevant technologies (e.g. big data, AI, IoT, HPC, edge/fog/cloud computing, language technologies, cybersecurity, telecommunications, autonomous systems etc.) as a means towards achieving the goals, and foster links to the respective research, industrial and user/innovator communities (e.g. AI4EU, digital innovation hubs). The use of European data sources (such as Copernicus, Galileo/EGNOS for satellite data) is encouraged in the use cases, where appropriate.

In this topic the integration of the gender dimension (sex and gender analysis) in research and innovation content is not a mandatory requirement.


Specific Topic Conditions:Activities are expected to start at TRL 3 and achieve TRL 5 by the end of the project – see General Annex B.




Cross-cutting Priorities:Artificial IntelligenceDigital Agenda


ver menos

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:Proposal results are expected to contribute to the following expected outcomes: ExpectedOutcome:Proposal results are expected to contribute to the following expected 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 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:
0% 25% 50% 75% 100%
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.

Otras ventajas

Sello PYME: Tramitar esta ayuda con éxito permite conseguir el sello de calidad de “sello pyme innovadora”. Que permite ciertas ventajas fiscales.
HORIZON-CL4-2022-DATA-01 Extreme data mining, aggregation and analytics technologies and solutions (RIA) ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes: provide better technologies, tools and solu...
Sin info.
HORIZON-CL4-2022-DATA-01-05 Extreme data mining, aggregation and analytics technologies and solutions (RIA)
en consorcio: ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes: provide better technologies, tools and solu...
Cerrada hace 2 años | Próxima convocatoria prevista para el mes de
HORIZON-CL4-2022-DATA-01-04 Technologies and solutions for data trading, monetizing, exchange and interoperability (AI, Data and Robotics Partnership) (IA)
en consorcio: ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes: improve the digital technologies, solutions...
Cerrada hace 2 años | Próxima convocatoria prevista para el mes de
HORIZON-CL4-2022-DATA-01-01 Methods for exploiting data and knowledge for extremely precise outcomes (analysis, prediction, decision support), reducing complexity and presenting insights in understandable way (RIA)
en consorcio: ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes: Improving automated ways for extracting mea...
Cerrada hace 2 años | Próxima convocatoria prevista para el mes de
HORIZON-CL4-2022-DATA-01-02 Cognitive Cloud: AI-enabled computing continuum from Cloud to Edge (RIA)
en consorcio: ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes: A new AI-enabled Cloud-edge framework (Cogn...
Cerrada hace 2 años | Próxima convocatoria prevista para el mes de
HORIZON-CL4-2022-DATA-01-03 Programming tools for decentralised intelligence and swarms (RIA)
en consorcio: ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes: Agile and secure architectures for collabor...
Cerrada hace 2 años | Próxima convocatoria prevista para el mes de