Informatologia, Vol. 49 No. 1-2, 2016.
Preliminary communication
PREDICTIONS OF THE SUCCESS RATE OF EU NEW MEMBER STATES IN RECEIVING HORIZON 2020 FUNDING
Štefan Luby
; Institute for Forecasting, Slovak Academy of Sciences, Centre of Excellence CESTA (Centre for Strategic Analysis), Bratislava, Slovak Republic
Martina Lubyová
; Institute for Forecasting, Slovak Academy of Sciences, Centre of Excellence CESTA (Centre for Strategic Analysis), Bratislava, Slovak Republic
Abstract
EU is facing increasing world competition. EU member states with high R&D intensity have been most resilient in the current economic crisis. Given that R&D intensity in the EU new member states (except for Slovenia and Estonia) lags behind the EU average (2.03 % in 2011), Horizon 2020 funding is a unique opportunity to advance the position of these states in research and innovation. The prediction shows that any significant improvement of the success of EU new member states in Horizon 2020 as compared to FP 7 is plausible only under special precautions. The first prerequisite of progress is the growth of R&D intensity towards European targets. The improvement of national science and technology infrastructure due to the structural funds allocation may also positively influence the scientific excellence. Auxiliary factors that can help in bridging the divide between new and old EU member states in terms of European funding include, for example, effective information systems, granting the preparation of Horizon 2020 projects, and higher participation of doctoral students in Horizon 2020 projects.
Keywords
EU new member states; R&D intensity; research excellence; success rate in FP 7; prediction for H 2020
Hrčak ID:
161899
URI
Publication date:
15.7.2016.
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