A Public consultation on EU funds in the area of investment, research & innovation (FP9), SMEs and single market is open until the 8th of March 2018.
The EU-LA Mining & Exploration Convention and Trade Show METS (10th to 12th April 2018, Madrid), part of the “Mineral Development Network Platform” (MDNP) - funded by the EU's EUROPEAID programme, will provide an opportunity for EU and Latin American partners to meet in person and foster cooperation in mining and all related sectors.
The brochure "Horizon 2020 In Full Swing -Three Years On – Key facts and figures 2014-2016" provides a snapshot of the programme's main achievements, taking into account more than 300 calls for proposals. For the first time, some early trends can be glimpsed from the year-on-year evolution of key monitoring data such as success rates, SME participation, and project evaluation.
A FET policy workshop is to take place at the European Parliament in Brussels on March 7th 2018.
Get ready for submitting your proposal to the Horizon 2020 calls in 2018-19 that offer EU funding to public procurers and other stakeholders from different countries to prepare and implement pre-commercial procurements (PCP) and public procurements of innovative solutions (PPI) together.
Research spending should rise to €120B in the 2021 - 2028 budget, despite shrinking EU funds post-Brexit, say MEPs
Zabala offers new opportunities to entrepreneurs through the EDI Project (European Data Incubator).
The European Commission unveiled today its plans to invest jointly with the Member States in building a world-class European supercomputers infrastructure.
ZABALA takes part in this initiative leads by the University of Deusto and in collaboration with 20 organizations from 10 European countries.
EUR 2 million prize for a Big Data forecasting system that will enable more efficient use of energy resources and other sustainable outcomes
The European Commission has launched a new Horizon Prize on Big Data Technologies. EUR 2 million is available for improving electricity grid traffic forecasting in terms of scalability, accuracy, speed and use of computational resources.