HORIZON EUROPE
Europeo
Specific Challenge:new synergies between the distant disciplines of environmental modelling, advanced sensor research, social sciences, and Artificial Intelligence can lead to radically new approaches for creating and using dynamic models of the environment, including predictive modelling, scenario testing and real-time tracking. The ultimate goal is to build a systemic understanding of the socio-environmental inter-relationships, for instance to regulate or design policies and incentives for environmental sustainability and to track their effectiveness over time and to provide intelligible options for adjusting them.
Scope:Proposals are expected to have their main focus in only one of the following sub-topics:
a. new techniques for modelling and predicting socio/environmental evolution across different temporal and spatial scales. These will combine, analyse and interpret data from in-situ and remote (e.g., satellite) sensing technologies, other public data sources (e.g., historical data, planning documents, legislation), and data or models/theories from human behaviour (including gender differences), economics and the social sciences by making rec...
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Specific Challenge:new synergies between the distant disciplines of environmental modelling, advanced sensor research, social sciences, and Artificial Intelligence can lead to radically new approaches for creating and using dynamic models of the environment, including predictive modelling, scenario testing and real-time tracking. The ultimate goal is to build a systemic understanding of the socio-environmental inter-relationships, for instance to regulate or design policies and incentives for environmental sustainability and to track their effectiveness over time and to provide intelligible options for adjusting them.
Scope:Proposals are expected to have their main focus in only one of the following sub-topics:
a. new techniques for modelling and predicting socio/environmental evolution across different temporal and spatial scales. These will combine, analyse and interpret data from in-situ and remote (e.g., satellite) sensing technologies, other public data sources (e.g., historical data, planning documents, legislation), and data or models/theories from human behaviour (including gender differences), economics and the social sciences by making recourse to advanced artificial intelligence techniques, if/as needed. The focus is on modelling and tracking of the interplay between natural and societal systems, for example on how policies and economics modelling predict human behaviours’ impact on the environment, how explicit or implicit incentives and social norms interact with the environment’s evolution and exploitation, how real-time environmental awareness and intelligence can improve behaviour towards more sustainability, or how the decisions based on changes in the environment in turn affect the state of the natural environment.
b. radically novel approaches to resilient, reliable and environmentally responsible in-situ monitoring.In-situ sensing technologies (physical, chemical, biological, behavioural) for environmental monitoring, in particular favouring sensors for parameters and environments that are currently under-sampled but at the same time critical for improving predictive models for understanding environmental processes. Proposals should look for ground-breaking concepts of affordable sensor design and deployment, maintenance, retrieval and/or recycling, based on concepts such as self-deployment, self-awareness, adaptation, artificial evolution, self-repair and controlled decomposition; or using edge computing, distributed Artificial Intelligence or new concepts from micro-robotics to optimise sensing or monitoring frequency. Advanced research on the networking aspects is not addressing this sub-topic.
Projects are to focus on one or a few critical resources (e.g., water, air) and to establish fundamental advances on the most critical challenges that will underpin a step improvement in monitoring, analysis and management of important social/environmental processes for improving quality of life and environmental sustainability (possibly including aspects of waste, noise, …). Citizen involvement, for example for prioritizing resource challenges, data collection, raising awareness towards environmental issues or better understanding of behavioural change in relation to environmental sustainability, is encouraged, in line with the discussion on Responsible Research and Innovation (RRI) in the introduction to this FET work programme. The collected and simulated data should adhere to the FAIR data principle and be compliant with European Standards.
Selected projects under this topic will be expected to collaborate, jointly aiming at delivering a blueprint for a full-fledged system for environmental intelligence.
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 project duration.
Expected Impact:Enabling new approaches to monitoring, analysis and management of critical resources in Europe;Availability of reliable data and models at multiple levels of granularity for environmental policy making;Reduced environmental footprint for environmental ICT;Increased local and citizen awareness of environmental impacts.
Delegation Exception Footnote:This topic is part of the European Innovation Council (EIC) Enhanced Pilot (Horizon 2020, 2019-2020).
Cross-cutting Priorities:Blue GrowthSocio-economic science and humanitiesRRIGenderEIC Pilot
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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.
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 manageme... 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.
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%
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 & Tender Portal electronic submission system. Sections which are not subject to limits will be indicated.
Grants will be awarded to proposals according to the ranking list. At least each of the two highest-ranked proposals for each sub-topic will be funded provided that it attains all thresholds. Then, respecting the ranking, the third ranked proposals (if any) from each sub-topic is awarded within available funding budget. Finally, any remaining funding budget is allocated according to the ranking list.
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
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
Grants awarded under this topic shall be implemented through the use of complementary grants and the respective options of Article 2, Article 31.6 and Article 41.4 of the Model Grant Agreement will then be applied. In particular the projects are required to conclude a collaboration agreement, in principle prior to the signature of the grant agreement.
Members of consortium are required to conclude a consortium agreement, in principle prior to the signature of the grant agreement.
8. Additional documents:
1. Introduction WP 2018-20
2. Future and Emerging Technologies (FETs) 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
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.
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