Evidence-based narratives in European research programming
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In: European Journal of Futures Research, Vol. 9, No. 1, 6, 12.2021.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - Evidence-based narratives in European research programming
AU - Schepelmann, Philipp
AU - Fischer, Susanne
AU - Drews, Martin
AU - Bastein, Ton
AU - Kropp, Jürgen
AU - Krummenauer, Linda
AU - Augenstein, Karoline
N1 - We acknowledge generous financial support by the Wuppertal Institute for Climate, Environment and Energy for the open access publication. Publisher Copyright: © 2021, The Author(s).
PY - 2021/12
Y1 - 2021/12
N2 - The article introduces and exemplifies the approach of evidence-based narratives (EBN). The methodology is a product of co-design between policy-making and science, generating robust intelligence for evidence-based policy-making in the Directorate General for Research and Innovation of the European Commission (DG RTD) under the condition of high uncertainty and fragmented evidence. The EBN transdisciplinary approach tackles practical problems of future-oriented policy-making, in this case in the area of programming for research and innovation addressing the Grand Societal Challenge related to climate change and natural resources. Between 2013 and 2018, the EU-funded RECREATE project developed 20 EBNs in a co-development process between scientists and policy-makers. All EBNs are supported with evidence about the underlying innovation system applying the technological innovation systems (TIS) framework. Each TIS analysis features the innovation, its current state of market diffusion and a description of the innovation investment case. Indicators include potential future market sizes, effects on employment and environmental and social benefits. Based on the innovation and TIS function analyses, the EBNs offer policy recommendations. The article ends with a critical discussion of the EBN approach.
AB - The article introduces and exemplifies the approach of evidence-based narratives (EBN). The methodology is a product of co-design between policy-making and science, generating robust intelligence for evidence-based policy-making in the Directorate General for Research and Innovation of the European Commission (DG RTD) under the condition of high uncertainty and fragmented evidence. The EBN transdisciplinary approach tackles practical problems of future-oriented policy-making, in this case in the area of programming for research and innovation addressing the Grand Societal Challenge related to climate change and natural resources. Between 2013 and 2018, the EU-funded RECREATE project developed 20 EBNs in a co-development process between scientists and policy-makers. All EBNs are supported with evidence about the underlying innovation system applying the technological innovation systems (TIS) framework. Each TIS analysis features the innovation, its current state of market diffusion and a description of the innovation investment case. Indicators include potential future market sizes, effects on employment and environmental and social benefits. Based on the innovation and TIS function analyses, the EBNs offer policy recommendations. The article ends with a critical discussion of the EBN approach.
KW - Complexity
KW - Evidence-based policy
KW - Innovation
KW - Narratives
KW - Technological innovation systems
KW - Uncertainty
KW - Sustainability Science
UR - http://www.scopus.com/inward/record.url?scp=85108060182&partnerID=8YFLogxK
U2 - 10.1186/s40309-021-00175-2
DO - 10.1186/s40309-021-00175-2
M3 - Journal articles
AN - SCOPUS:85108060182
VL - 9
JO - European Journal of Futures Research
JF - European Journal of Futures Research
SN - 2195-4194
IS - 1
M1 - 6
ER -