Abstract
The EU Framework Programme (FP) has evolved from supporting pre-competitive research to cover the entire innovation value chain and became the world’s largest research and innovation (R&I) ecosystem. It facilitates the creation of R&I networks among organizations from around the world. To oversee and manage the innovation activities of complex collaborative R&I projects, new data, indicators and tools were needed. We present the Innovation Radar (IR), an initiative of the European Commission to identify and manage innovations and innovators in the FP R&I ecosystem. The IR is used as an intelligence platform providing insights on innovation activities in large collaborative R&I projects. The internal IR tools allow policy officers to monitor R&I projects and provide custom support to facilitate the commercialisation of their results. External actors use the public IR data platform to seek for collaborative partners or for investment opportunities.
Highlights
Launched in the early 80’s, the Framework Programme (FP) aimed at bringing together expertise from across Europe to make it more competitive in key technologies (EC 1981)
We describe the IR methodology consisting of the Innovation Radar Survey (IRS) and two assessment frameworks to evaluate the potential of innovations and the capacity of innovators
This is in line with findings showing that for example, small companies in research consortia have very explicit goals (Polt et al 2008), while large firms adopt a strategy focused on technology watch and active acquisition of new knowledge from partners, rather than joint development and commercialisation of a novel technology (Hernan et al 2003; Röller et al 2007)
Summary
Launched in the early 80’s, the Framework Programme (FP) aimed at bringing together expertise from across Europe to make it more competitive in key technologies (EC 1981). The EU FP has evolved to the world’s largest collaborative research and innovation (R&I) ecosystem These changes created the need for new data and indicators that would allow monitoring and managing the interactions between the stakeholders and the ecosystem’s outcomes. The objective is to illustrate how such an initiative as the IR for data collection and analysis can be used in the context of managing innovation activities in the world’s largest R&I programme.
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