HORIZON EUROPE
Europeo
Specific Challenge:To explore and consolidate a new technological direction in order to put it firmly on the map as a viable paradigm for future technology. To foster the interdisciplinary communities that are able to drive this forward, extending from the participating consortia to a wider European pool of expertise. To stimulate the emergence of a European innovation eco-system around a new technological paradigm, well beyond the world of research alone.
Scope:proposals are sought for cutting-edge high-risk / high-reward research and innovation projects that aim to demonstrate a new technological paradigm within the scope of one of the following sub-topics:
a. Human-Centric AI. Artificial intelligence (AI) is gaining more and more footholds in various aspects of our life. However, machine learning algorithms are difficult to understand, opaque and may have implicit biases in their decision making. Explicability has become an essential element if users are to trust, accept and adopt the next generation of intelligent machines on a wider scale. This initiative seeks to advance to the next AI frontier with verifiable, evidence-based features of trust...
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Specific Challenge:To explore and consolidate a new technological direction in order to put it firmly on the map as a viable paradigm for future technology. To foster the interdisciplinary communities that are able to drive this forward, extending from the participating consortia to a wider European pool of expertise. To stimulate the emergence of a European innovation eco-system around a new technological paradigm, well beyond the world of research alone.
Scope:proposals are sought for cutting-edge high-risk / high-reward research and innovation projects that aim to demonstrate a new technological paradigm within the scope of one of the following sub-topics:
a. Human-Centric AI. Artificial intelligence (AI) is gaining more and more footholds in various aspects of our life. However, machine learning algorithms are difficult to understand, opaque and may have implicit biases in their decision making. Explicability has become an essential element if users are to trust, accept and adopt the next generation of intelligent machines on a wider scale. This initiative seeks to advance to the next AI frontier with verifiable, evidence-based features of trustworthiness (i.e., reliable and unbiased alignment of values, goals and beliefs) and transparency (explainable performance), exploring radically new approaches (e.g., inspired from neuro-science, cognition or social science). For instance, explanation could be more tightly intertwined with the decision making process itself so that decisions can be challenged, interpreted, refined and adjusted through mutual exchange, introspection (e.g., self-awareness of biases, reflecting on the internal functioning of the learning system, or on what caused a wrong or unacceptable decision) and active learning of both system and user, for example through dialogue or other forms of multi-modal interaction aimed at establishing mutual trust. New data collection and ownership/governance models that go beyond the dominant off-line and centralised data processing should be investigated, and new avenues, such as for incremental, unsupervised, active, one-shot and ‘small data’ machine learning, should be explored. The projects are expected to contribute to the wider debate on the sociotechnical, organisational and AI-ethical dimensions of such technologies and systems, and link to the ’Commission’s broader AI strategy[1].
b. Implantable autonomous devices and materials. Radically new biomedical technologies that will lead to enhanced life quality for people are urgently needed, particularly for mitigating the impact of chronic health conditions that are placing a rapidly growing and ultimately unsustainable burden on healthcare systems. A key goal will be to demonstrate dramatically extended functional lifetimes of implantable devices, for example, through incorporation of smart sensing, self-awareness, adaptation (form and/or function) and self-repair capabilities. Included are mobile micro/nano devices based on biological models that can perform advanced functions e.g. site specific automigration, ability to distinguish tissue types (diseased, normal) and perform highly localised actions (e.g., delivery of therapeutic agents). Entities incorporating (bio)materials that provide instances of totally autonomous biomimetic behaviour and in-situ integration and adaptation are particularly welcome, such as an ability to blend-in with the native biological environment, to independently generate power, synthesise active agents or sense and respond to changes in the local molecular environment. Work on ethical implications should be included.
c. Breakthrough zero-emissions energy generation for full decarbonization. Clean and sustainable energy is one of the major challenges of our time. This sub-topic aims at the multidisciplinary exploration of new directions (starting from TRL 1-3) for power generation that is clean, compact and low-cost, aimed at stand-alone, mobile or portable uses in specific application contexts, for instance, in the transport sector (road, air, sea and either for motive or auxiliary needs), for portable uses, in remote places or in emergency situations. Breakthrough concepts and techniques for energy generation have to be explored for generating heat and/or electricity efficiently with zero emissions and with a minimal use of rare or toxic materials. Research areas could include, for example, long duration high heat sources from hydrogen-metal systems (e.g., using nickel), energy generation in plasma and cavitation systems. These or any other concepts with similar compact, high energy density and low-cost energy generation capabilities should be harnessed to make them usable for specific application contexts. Clear and ambitious performance targets and milestones to achieve them shall be provided.
FET Proactive projects should establish a solid baseline of knowledge and skills and assemble the interdisciplinary communities around them. They should further foster the emergence of a broader innovation ecosystem and create a fertile ground for future take-up of its new technological paradigm (e.g., public engagement, informal education, policy debate).
The Commission considers that proposals requesting a contribution from the EU of up to EUR 4 million and with a duration of up to 4 years would allow this specific challenge to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts or duration.
This topic allows for the provision of financial support to third parties established in an EU member state or country associated with Horizon 2020 in line with the conditions set out in General Annex K, either to enhance impacts through punctual small scale experimentation and use of project results by third parties, or to award a prize following a contest organised by the beneficiaries.
Expected Impact:Scientific and technological contributions to the foundation and consolidation of a radically new future technology.Potential for future returns in terms of societal or economic innovation or market creation.Spreading excellence and building leading innovation capacity across Europe by involvement of key actors that can make a difference in the future, for example excellent young, researchers, ambitious high-tech SMEs or first-time participants to FET under Horizon 2020[2].Build-up of a goal oriented interdisciplinary community (within and beyond the consortium).Emergence of an innovation ecosystem around a future technology in the theme addressed from outreach to and partnership with high potential actors in research and innovation, and from wider stakeholder/public engagement, with due consideration of aspects such as education, gender differences and long-term societal, ethical and legal implications.
Delegation Exception Footnote:This topic is part of the European Innovation Council Enhanced Pilot (2019-2020) and funded from budget line 08.020102. In accordance with article 6.5 of Horizon 2020 regulation No 1291/2013, credits from budget line 08.020202 will be transferred to budget line 08.020102.
Cross-cutting Priorities:Socio-economic science and humanitiesGenderEIC PilotClean Energy
[1]COM(2018) 237 final, 25.4.2018.
[2]First time participation here refers to the individuals involved, not to their institution or organisation.
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Características del consorcio
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La ayuda es de ámbito europeo, puede aplicar a esta linea cualquier empresa que forme parte de la Comunidad Europea.
Características del Proyecto
Los costes de personal subvencionables cubren las horas de trabajo efectivo de las personas directamente dedicadas a la ejecución de la acción. Los propietarios de pequeñas y medianas empresas que no perciban salario y otras personas físicas que no perciban salario podrán imputar los costes de personal sobre la base de una escala de costes unitarios
Los otros costes directos se dividen en los siguientes apartados: Viajes, amortizaciones, equipamiento y otros bienes y servicios. Se financia la amortización de equipos, permitiendo incluir la amortización de equipos adquiridos antes del proyecto si se registra durante su ejecución. En el apartado de otros bienes y servicios se incluyen los diferentes bienes y servicios comprados por los beneficiarios a proveedores externos para poder llevar a cabo sus tareas
La subcontratación en ayudas europeas no debe tratarse del core de actividades de I+D del proyecto. El contratista debe ser seleccionado por el beneficiario de acuerdo con el principio de mejor relación calidad-precio bajo las condiciones de transparencia e igualdad (en ningún caso consistirá en solicitar menos de 3 ofertas). En el caso de entidades públicas, para la subcontratación se deberán de seguir las leyes que rijan en el país al que pertenezca el contratante
Características de la financiación
A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon 2020 projects. See the information in the Online Manual.
2. Eligibility and admissibility conditions: described in Annex B and Annex C of the Work Programme.
Proposal page limits and layout: please refer to Part B of the proposal template in the submission system below.
3. Evaluation:
Evaluation criteria, scoring and thresholds are described in Annex H of the Work Programme.
Submission and evaluation processes are described in the Online Manual.
The following exceptions apply:
The following specific page limits apply. Sections 1 to 3 of the part B of the proposal should consist of a maximum of 30 A4 pages. The limits will be clearly shown in the ‘proposal templates’ in the Funding & Tenders Portal electronic submission system. Sections which are not subject to limits will be indicated.
Excellence
The following aspects are taken into account:
Clarity of long-term vision of a science-enabled technology.Concreteness and ambition of the proposed science-to-technology breakthrough that addresses this vision.Range and added value from interdisciplinarity, novelty and non-incrementality of the research prop... 1. Eligible countries: described in Annex A of the Work Programme.
A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon 2020 projects. See the information in the Online Manual.
2. Eligibility and admissibility conditions: described in Annex B and Annex C of the Work Programme.
Proposal page limits and layout: please refer to Part B of the proposal template in the submission system below.
3. Evaluation:
Evaluation criteria, scoring and thresholds are described in Annex H of the Work Programme.
Submission and evaluation processes are described in the Online Manual.
The following exceptions apply:
The following specific page limits apply. Sections 1 to 3 of the part B of the proposal should consist of a maximum of 30 A4 pages. The limits will be clearly shown in the ‘proposal templates’ in the Funding & Tenders Portal electronic submission system. Sections which are not subject to limits will be indicated.
Excellence
The following aspects are taken into account:
Clarity of long-term vision of a science-enabled technology.Concreteness and ambition of the proposed science-to-technology breakthrough that addresses this vision.Range and added value from interdisciplinarity, novelty and non-incrementality of the research proposed.High-risk of the research proposed and plausibility and flexibility of the approach. Threshold: 4/5, Weight: 60%
Impact
The extent to which the outputs of the project would contribute to the expected impacts mentioned in the work programme under the relevant FET topic.Effectiveness of measures and plans to disseminate and use the results (including management of IPR) and to communicate the project to different target audiences. Threshold: 3.5/5, Weight: 20%
Quality and efficiency of the implementation
The following aspects are taken into account:
Coherence and effectiveness of the work plan to achieve project objectives and impacts, including adequate allocation of resources to tasks and partners.Appropriateness of the research and innovation management structures and procedures.Role and complementarity of the participants and extent to which the consortium as a whole brings together the necessary expertise. Threshold: 3/5, Weight: 20%
Grants will be awarded to proposals according to the ranking list. At least each of the two highest-ranked proposals for each sub-topic or area will be funded provided that it attains all thresholds. Then, respecting the ranking, the third ranked proposals (if any) from each sub-topic or area is awarded within available funding budget. Finally, any remaining funding budget is allocated according to the ranking list, respecting where applicable the minimal and maximal budget allocation per sub-topic or area.
4. Indicative time for evaluation and grant agreements:
Information on the outcome of evaluation (single-stage call): maximum 5 months from the deadline for submission.
Signature of grant agreements: maximum 8 months from the deadline for submission.
5. Proposal templates, evaluation forms and model grant agreements (MGA):
Research and Innovation Action:
Specific provisions and funding rates
Specific proposal template: please refer to the specific proposal template in the submission system below
Specific evaluation form
General MGA - Multi-Beneficiary
Annotated Grant Agreement
6. Additional provisions:
Horizon 2020 budget flexibility
Classified information
Technology readiness levels (TRL) – where a topic description refers to TRL, these definitions apply
For grants awarded under sub-topic a of this topic, for Research and Innovation Actions the Commission or Agency may object to a transfer of ownership or the exclusive or non-exclusive licensing of results to a third party established in a third country not associated to Horizon 2020. The respective option of Article 30.3 of the Model Grant Agreement will be applied.
Members of consortium are required to conclude a consortium agreement, in principle prior to the signature of the grant agreement.
For grants awarded under this topic, beneficiaries may provide support to third parties established in a EU member state or country associated with Horizon 2020 and as described in part K of the General Annexes of the Work Programme either in form of grants or prizes and within the limitations as described in the call text of this topic. The respective options of Article 15 of the Model Grant Agreement will be applied.
7. Open access must be granted to all scientific publications resulting from Horizon 2020 actions.
Where relevant, proposals should also provide information on how the participants will manage the research data generated and/or collected during the project, such as details on what types of data the project will generate, whether and how this data will be exploited or made accessible for verification and re-use, and how it will be curated and preserved.
Open access to research data
The Open Research Data Pilot has been extended to cover all Horizon 2020 topics for which the submission is opened on 26 July 2016 or later. Projects funded under this topic will therefore by default provide open access to the research data they generate, except if they decide to opt-out under the conditions described in Annex L of the Work Programme. Projects can opt-out at any stage, that is both before and after the grant signature.
Note that the evaluation phase proposals will not be evaluated more favourably because they plan to open or share their data, and will not be penalised for opting out.
Open research data sharing applies to the data needed to validate the results presented in scientific publications. Additionally, projects can choose to make other data available open access and need to describe their approach in a Data Management Plan.
Projects need to create a Data Management Plan (DMP), except if they opt-out of making their research data open access. A first version of the DMP must be provided as an early deliverable within six months of the project and should be updated during the project as appropriate. The Commission already provides guidance documents, including a template for DMPs. See the Online Manual.
Eligibility of costs: costs related to data management and data sharing are eligible for reimbursement during the project duration.
The legal requirements for projects participating in this pilot are in the article 29.3 of the Model Grant Agreement.
8. Additional documents:
1. Introduction WP 2018-20
2. Future and Emerging Technologies (FETs) WP 2018-20
17. European Innovation Council (EIC) WP 2018-20
18. Dissemination, Exploitation and Evaluation WP 2018-20
20. Cross-cutting activities WP 2018-20
General annexes to the Work Programme 2018-2020
Guide to ICT-related activities in H2020 work programme 2018-20
Legal basis: Horizon 2020 Regulation of Establishment
Legal basis: Horizon 2020 Rules for Participation
Legal basis: Horizon 2020 Specific Programme
Legal basis: EIT Strategic Innovation Agenda
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