Finance Money talks
@imveurope
www.imveurope.com
Making sense of the spaghetti alphabet of acronyms that make up the various European Commission finance projects can be a daunting and confusing prospect. James Cogan, a senior grants and innovation consultant with PNO Consultants, sets out the key EC finance projects available in the 2014 to 2020 funding cycle, and explains how to get the process to work for machine vision organisations
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n the 2014 to 2020 period, Europe will take just less than €1 per person per day in taxes to finance its common development programmes.
Tat’s one per cent of European GDP and it adds up to nearly a trillion euros. More than 90 per cent of the finance goes on things such as agriculture, fisheries, security and regional development, and it goes to national or regional government agencies, which then administer it through sometimes convoluted local programmes. For both these reasons much of this big chunk can be pretty irrelevant where machine vision entrepreneurs and technologists are concerned; local innovation investment programmes being the exception.
4 Imaging and Machine Vision Europe • Yearbook 2014/2015
But about eight per cent of it, or €11 billion per year, goes on those technology, industry and competitiveness programmes involving direct funding from Brussels to end-user organisations, and which are all potentially of interest to machine vision people. Tese are the Horizon 2020 programmes, COSME and parts of the LIFE environment and climate programme. H2020 is the biggest of the three by far,
accounting for €10 billion per year of the funding given out. It is all potentially relevant because while some of it is aimed at specific technologies, such as machine vision or nanotechnologies, the vast majority of it is application oriented and hence targeted at health, energy, transport, space, climate, food and so on. Even the technology domains are so broadly defined – for instance ‘advanced manufacturing’ – that they can encompass a wide range of specific technologies, such as laser-based edge detection, for example. Other important themes supported under the EU programmes are research excellence, access to finance and entrepreneurialism. Te point is that many seemingly unlikely funding topics may turn out to have potential for machine vision organisations.
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