https://journals.plos.org/climate/article?id=10.1371/journal.pclm.0000207

*Authors*

   - Julius Fenn ,
   - Jessica F. Helm,
   - Philipp Höfele,
   - Lars Kulbe,
   - Andreas Ernst,
   - Andrea Kiesel


   - *Published: June 6, 2023*
   -
- https://doi.org/10.1371/journal.pclm.0000207

*Citation*: Fenn J, Helm JF, Höfele P, Kulbe L, Ernst A, Kiesel A (2023)
Identifying key-psychological factors influencing the acceptance of yet
emerging technologies–A multi-method-approach to inform climate policy.
PLOS Clim 2(6): e0000207. https://doi.org/10.1371/journal.pclm.0000207

Abstract

The best combination of possible climate policy options (mitigation,
adaptation and different climate engineering technologies) to tackle
climate change is unknown. Climate policy is facing a hard decision in
answering the question whether climate engineering technologies should be
researched, limitedly deployed or even deployed at global scale. Such
technologies bear large epistemic and ethical uncertainties and their use
as well as non-use might have severe consequences. To deal with such
uncertainties, the (ethical) assessment of climate engineering technologies
should include the perspectives of various stakeholders including
laypersons to inform climate policy. To facilitate (ethical) technology
assessment, we propose a novel 2-step methodology to collect and analyze
data on ethical concerns and the acceptability of climate engineering
technologies. *Thereby we focus on Stratospheric Aerosol Injection (SAI) as
an use case. We propose an innovative combination of newly developed
methods consisting of two data collection tools (Cognitive-Affective
Mapping and large-scale survey) and two types of data analyses (using graph
theory and factor analysis). *Applying this multi-method approach we were
able to identify (1) central ethical and governance related concerns
regarding SAI (by Cognitive-Affective Maps) and (2) to estimate the
relative importance of core constructs (positive and negative affect, risk
and benefit perception, trust) on the acceptability of SAI (by large-scale
survey).

*Source: PLOS*

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