Evidence-based narratives in European research programming

Research output: Journal contributionsJournal articlesResearchpeer-review

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Evidence-based narratives in European research programming. / Schepelmann, Philipp; Fischer, Susanne; Drews, Martin et al.

In: European Journal of Futures Research, Vol. 9, No. 1, 6, 12.2021.

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

Schepelmann, P, Fischer, S, Drews, M, Bastein, T, Kropp, J, Krummenauer, L & Augenstein, K 2021, 'Evidence-based narratives in European research programming', European Journal of Futures Research, vol. 9, no. 1, 6. https://doi.org/10.1186/s40309-021-00175-2

APA

Schepelmann, P., Fischer, S., Drews, M., Bastein, T., Kropp, J., Krummenauer, L., & Augenstein, K. (2021). Evidence-based narratives in European research programming. European Journal of Futures Research, 9(1), [6]. https://doi.org/10.1186/s40309-021-00175-2

Vancouver

Schepelmann P, Fischer S, Drews M, Bastein T, Kropp J, Krummenauer L et al. Evidence-based narratives in European research programming. European Journal of Futures Research. 2021 Dec;9(1):6. doi: 10.1186/s40309-021-00175-2

Bibtex

@article{121da449ead24bcf986ac417a944b8b3,
title = "Evidence-based narratives in European research programming",
abstract = "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.",
keywords = "Complexity, Evidence-based policy, Innovation, Narratives, Technological innovation systems, Uncertainty, Sustainability Science",
author = "Philipp Schepelmann and Susanne Fischer and Martin Drews and Ton Bastein and J{\"u}rgen Kropp and Linda Krummenauer and Karoline Augenstein",
note = "We acknowledge generous financial support by the Wuppertal Institute for Climate, Environment and Energy for the open access publication. Publisher Copyright: {\textcopyright} 2021, The Author(s).",
year = "2021",
month = dec,
doi = "10.1186/s40309-021-00175-2",
language = "English",
volume = "9",
journal = "European Journal of Futures Research",
issn = "2195-4194",
publisher = "Springer",
number = "1",

}

RIS

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 -