Deadline: 23-Sep-21
European Commission is calling for proposals for Interdisciplinary digital twins for modelling and simulating complex phenomena at the service of research infrastructure communities.
Scope
- Actions should develop digital twins that provide advanced modelling, simulation and prediction capabilities to RIs and their research communities through a convergent use of advanced digital technologies such as high performance computing, software, AI methods and big data analytics.
- With the advent of big data analytics and supercomputing, AI methods have the potential to allow exploiting the full potential of simulations and observations at significantly enhanced scales and to substantially increase the value, which can be extracted from investments into digital infrastructures and hardware. This fusion of models and real-time data is of crucial importance in many scientific areas, which – due to the complexity of the underlying phenomena – are heavily dependent on converging traditional modelling with the increasing amount of real-time data in order to arrive at more accurate present-state assessments and predictions (e.g. high energy physics, astrophysics, environmental research, security applications, materials research, resource efficiency, econometrics, population dynamics and related global changes).
Funding Information
The check will normally be done for the coordinator if the requested grant amount is equal to or greater than EUR 500 000, except for:
- public bodies (entities established as a public body under national law, including local, regional or national authorities) or international organisations; and
- cases where the individual requested grant amount is not more than EUR 60 000 (lowvalue grant).
Expected Outcomes
- Research infrastructures are not only thematically very diverse but also in terms of size, ranging from the long tail of science, often characterised by individual laboratories or small groups of researchers, to large, “big science” collaborations. Scientists and researchers, including the long-tail of science, lack capabilities enabling complex simulations, combining simulations with observations and dealing with very large volumes of diverse data from various and distributed sources. The availability of high-quality Digital Twins across a wide range of thematic applications could fill this gap.
- Project results are expected to contribute to all the following expected outcomes:
- availability of a pre-operational prototype of an interdisciplinary Digital Twin, using a combination of the latest digital technologies, relevant to addressing challenges where multi-disciplinarity is the defining element of complexity;
- availability of latest modelling and prediction technologies in a number of different areas widely serving research communities and supporting interoperability of data and software, integration and collaboration across different scientific domains, disciplines and across the different research infrastructures involved;
- a robust framework enabling Researchers to ensure the quality, reliability, verifiability of the data, information and outputs of such Digital Twins and to exploit to the maximum the existing and new data made available through the Common European Data Spaces and the European Open Science Cloud.
Eligibility Criteria
To be eligible for funding, applicants must be established in one of the eligible countries, i.e.:
- the Member States of the European Union, including their outermost regions;
- the Overseas Countries and Territories (OCTs) linked to the Member States;
- eligible non-EU countries:
- countries associated to Horizon Europe
- low- and middle-income countries
For more information, visit https://bit.ly/3gl7QCj
