EOSC-Pillar gathers representatives of the fast-growing national initiatives for coordinating data infrastructures and services in Italy, France, Germany, Austria and Belgium to establish an agile and efficient federation model for open science services covering the full spectrum of European research communities.
Through the use of High Performance Computing, HIGHLANDER will make it possible to process data and generating climate forecasts and projections to reduce the risks associated with climate change, for a more intelligent and sustainable management of natural resources and the territory.
IS-ENES is a key research infrastructure for climate modelling. It is actually the distributed infrastructure of the European Network for Earth System modelling (ENES) that serves the European modelling community working on understanding and predicting climate variability and change.
The NEMESI project is aimed at the creation of biobased / biomaterial products from renewable (biomass) and recycled sources with a view to fighting the spread of several plant pathogens that have been severely affecting the whole economic and agriculture system in Italy. The intensification of agricultural crops and high market demands have forced the industry to intensify the use of chemicals to limit the effects of plant diseases, which has had a strong impact on the environment, food quality and human health. The proposed material in NEMESI is Nanocellulose, that is supposed to be used as a carrier of innovative agrochemicals based on nanotechnology approaches. Funded by MIUR – Ministero dell’Istruzione, dell’Università e della Ricerca – PON-PNR 2015-2020 (www.ponricerca.gov.it)
The project is motivated by the challenging problem of preventing and fighting wildfires in the forests and rural areas of Epirus and Apulia. OFIDIA2 primarily capitalizes on the OFIDIA project of the “2007-2013” programme, yet it covers substantially larger areas in terms of patrolling and monitoring in both regions. The maintenance of the natural environment is crucial due to the competitive advantages that it offers to the above regions in terms of biodiversity, tourist attraction, sustainable development and protection from natural catastrophes. OFIDIA2 proposes a pragmatic approach to improve the operational capacity of the stakeholders to detect and fight forest wildfires. It performs “real time” monitoring through sensor data; provides weather forecasts in the two regions; it develops a fire-behavior projection model; it aims at creating a new wildfires control center building in Apulia. The network will offer real-time environmental monitoring to predict the risks of fire development and the necessary adoption of control strategies. With the help of HD video cameras, wireless sensors networks and drones, the stakeholders will effectively patrol high-danger and remotely located areas.