Objective
The challenges of society show rising complexity and their solution process increasingly requires a holistic approach. It is necessary to provide decision makers with tools that allow long-term risk analysis, improvements or even optimization and control.
One of the key technologies in this process is the use of mathematical Modelling, Simulation and Optimisation (MSO) methods, which have proven effective tools for solving many problems, e.g. realistic prediction of wind fields, solar radiation, air pollution and forest fires, prediction of climate change, improving the filtration process for drinking water treatment and optimization methods for intensity-modulated radiation therapy.
These methods are highly complex and are typically processed via the most modern tools of ICT including high performance computing and access to big data bases and usually need support of skilled experts, which often are not available, in particular in small and medium enterprises.
To improve this situation, the pan-European network EU-MATHS-IN (European Service Network of Mathematics for Industry and Innovation) has been founded from national networks containing leading research centres of Europe with high excellence of MSO and ICT.
The major objective of this proposal is to construct an e-infrastructure that provides, in a user-driven, integrative way, tailored access to the necessary services, resources and even tools for the fast prototyping, providing the service producers with the mathematical frameworks as well.
The e-infrastructure consists of an integrated MSO application catalogue containing models, software, validation and benchmark and the MSOcloud: a user friendly cloud infrastructure for selected MSO applications and developing frameworks from the catalogue.
This will reduce the ‘time-to-market’ for consultants working in the above-mentioned societal challenges.
Fields of science
- natural sciencescomputer and information sciencessoftware
- natural sciencesearth and related environmental sciencesatmospheric sciencesmeteorologysolar radiation
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologyenvironmental engineeringwater treatment processesdrinking water treatment processes
- natural sciencescomputer and information sciencescomputational science
- engineering and technologyenvironmental engineeringair pollution engineering
Programme(s)
Call for proposal
H2020-EINFRA-2016-1
See other projects for this call
Funding Scheme
RIA - Research and Innovation actionCoordinator
28037 Madrid
Spain
Participants (10)
10623 Berlin
67081 Strasbourg
Participation ended
7034 Trondheim
48009 Bilbao
9026 Gyor
14195 Berlin
15705 Santiago De Compostela
100 44 Stockholm
5052BM Goirle
7034 Trondheim