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NanoInformatics Approaches for Safe-by-Design NanoMaterials

Objective

The unique properties of nanomaterials (NMs), relative to their bulk form, has seen them used in a rapidly increasing number of commercial applications. However, with these useful new properties of NMs come potential health and environmental hazards. Thus, as part of a responsible innovation approach, NMs potential risks must be assessed in parallel to exploitation of their benefits. Due to their enormous variability, NM risk assessment urgently needs advanced in silico methodologies capable of machine learning from limited experimental datasets. These in silico tools for NMs characterisation, exposure, hazard and risk assessment and sustainability and life cycle assessment, need to support implementation of existing regulatory guidelines and extend regulatory risk assessment to integrate the extensive new knowledge generated computationally. CompSafeNano’s overarching objective is thus to drive the development of integrated and universally applicable nanoinformatics models, with broad domains of applicability across NMs compositions and forms, that are directly usable by industry, especially SMEs, and regulators for NMs risk assessment and decision making. CompSafeNano will establish an extended safe-by-design paradigm that includes environmental sustainability (life cycle assessment) based on in silico predictions with experimental testing to validate the results. CompSafeNano has a clear set of objectives to deliver this vision of an in silico safe-by-design computational platform and will be in close communication with other EU projects to access existing data on NM hazard and integrate existing nanoinformatics and NMs risk governance platforms (i.e. within NanoCommons, NanoSolveIT & RiskGONE). Training activities will benefit both ESRs and ERs from participating organizations, with a strong focus on inter-sectoral exchange (SME-academia) and international collaboration, filling the well-recognised current skills gap in nanoinformatics and big data analytics.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

MSCA-RISE - Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE)

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-RISE-2020

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Coordinator

NOVAMECHANICS LIMITED
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 179 400,00
Address
DIGENI AKRITA 51
1070 NICOSIA
Cyprus

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Κύπρος Κύπρος Κύπρος
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 202 400,00

Participants (15)

Partners (6)

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