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@ARTICLE{Prehofer:894885,
author = {Prehofer, Sigrid and Kosow, Hannah and Naegler, Tobias and
Pregger, Thomas and Vögele, Stefan and Weimer-Jehle,
Wolfgang},
title = {{L}inking qualitative scenarios with quantitative energy
models. {K}nowledge integration in different methodological
designs.},
journal = {Energy, Sustainability and Society},
volume = {11},
issn = {2192-0567},
address = {Heidelberg},
publisher = {Springer},
reportid = {FZJ-2021-03451},
pages = {25},
year = {2021},
abstract = {Background Linking qualitative scenarios with quantitative
models is a common approach to integrate assumptions on
possible future societal contexts into modeling. But
reflection on how and to what degree knowledge is
effectively integrated during this endeavor does not
generally take place. In this paper, we reflect on the
performance of a specific hybrid scenario approach
(qualitative Cross-Impact Balance analysis linked with
quantitative energy models) concerning knowledge integration
through eleven different process steps. In order to guide
the scenario community in applying this approach, we reflect
on general methodological features as well as different
design options. We conceptualize different forms of
interdisciplinary knowledge integration ( compiling ,
combining and synthesizing ) and analyze how and to what
degree knowledge about society and uncertainty are
integrated into scenario process and products. In addition,
we discuss trade-offs regarding design choices and forms of
knowledge integration. Results On the basis of three case
studies we identify two general designs of linking which
build on each other (basic and extended design) and which
differ in essence regarding the balance of power between the
CIB and the energy modeling. Ex-post assessment of the form
of interdisciplinary knowledge integration in each step
revealed that specific method properties of CIB as well as
the interaction with additional quantitative as well as
specific qualitative methods foster distinct forms of
knowledge integration. The specific roles assigned to CIB in
the hybrid scenario process can also influence the form of
knowledge integration. Conclusions In this study, we use a
joint process scheme linking qualitative context scenarios
with energy modeling. By applying our conceptualization of
different forms of knowledge integration we analyze the
designs´ respective potential for and respective effects on
knowledge integration. Consequently, our findings can give
guidance to those who are designing their own hybrid
scenario processes. As this is an explorative study, many
roads for further empirical research are indicated. Finally,
we note that at some points in the process a more precise
differentiation of knowledge integration forms would have
been useful and propose to further differentiate and detail
the three forms of interdisciplinary knowledge integration
in future research.},
cin = {IEK-STE},
ddc = {333.7},
cid = {I:(DE-Juel1)IEK-STE-20101013},
pnm = {1112 - Societally Feasible Transformation Pathways
(POF4-111)},
pid = {G:(DE-HGF)POF4-1112},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000672446800001},
doi = {10.1186/s13705-021-00298-1},
url = {https://juser.fz-juelich.de/record/894885},
}