NanoSolveIT – Innovative Nanoinformatics models and tools: towards a Solid, verified and Integrated Approach to Predictive (eco)Toxicology

The health, safety and environmental management of nanomaterials (NMs) is increasingly important. Currently, there is no complete understanding of NMs' impacts, and emerging NMs require new risk management approaches.
This project aims to develop a knowledge-based infrastructure for data hosting, sharing and exploitation via predictive modelling, to support NM grouping and risk assessment using nanodescriptors that are predictively linked to NM functionality, exposure and hazard. Project outcomes will benefit stakeholders at each stage of the NM value chain.

Details

Status:

  • inactive

Research Focus:

Project Coordination:

NovaMechanics Ltd

Partners:

The University of Birmingham, United Kingdom
Ethnicon Metsovion Polytechnion, Greece
University College Dublin, National University of Ireland, Dublin, Ireland
Tampereen Korkeakoulusaatio SR, Finland
MISVIK Biology OY, Finland
Universiteit Maastricht, Netherlands
Qsar Lab Spolka Z Ograniczona Odpowiedzialnoscia, Poland
Stockholms Universitet, Sweden
Det Nationale Forskningscenter for Arbejdsmiljø, Denmark
Georg-August-Universitat Gottingen Stiftung Offentlichen Rechts, Germany
United Kingdom Research And Innovation, United Kingdom
TARTU ULIKOOL, Estonia
STIFTELSEN NILU, Norway
Bundesanstalt für Materialforschung und -prüfung, Germany
The University of North Carolina At Chapel Hill, United States
The Regents of The University of California, United States
Board of Trustees of Jackson State University, United States
Duke University, United States
La Trobe University, Australia
National Institute for Environmental Studies, Japan
Industry-University Cooperation Foundation of Hanyang University, South Korea
Korea Research Institute of Standards And Science, South Korea
TO21 CO LTD, South Korea
UK Centre For Ecology & Hydrology, United Kingdom

Countries:

Germany (Bavaria), South Africa

Funding Agency:

European Union (EU)

Funding Type:

H2020

Duration:

01/01/2019
– 31/08/2023

Budget:

6098527 EUR

URL: