Abstract
Whether and how long-term energy and climate targets can be reached depend on a range of interlinked factors: technology, economy, environment, policy, and society at large. Integrated assessment models of climate change or energy-system models have limited representations of societal transformations, such as behavior of various actors, transformation dynamics in time, and heterogeneity across and within societies. After reviewing the state of the art, we propose a research agenda to guide experiments to integrate more insights from social sciences into models: (1) map and assess societal assumptions in existing models, (2) conduct empirical research on generalizable and quantifiable patterns to be integrated into models, and (3) build and extensively validate modified or new models. Our proposed agenda offers three benefits: interdisciplinary learning between modelers and social scientists, improved models with a more complete representation of multifaceted reality, and identification of new and more effective solutions to energy and climate challenges.
| Original language | English |
|---|---|
| Pages (from-to) | 423-433 |
| Number of pages | 11 |
| Journal | One Earth |
| Volume | 1 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 20 Dec 2019 |
Bibliographical note
Funding Information:The authors thank the participants of the Denver Scenario Forum 2019 for fruitful discussions. This work received funding from the Institute for Environmental Sciences at the University of Geneva and from the NAVIGATE project of the European Union's Horizon 2020 research and innovation program under grant agreement 821124. E.T. conceptualized the overall manuscript with expertise and feedback from all authors. E.T. wrote the original draft, and N.B. A.C. A.H. O.Y.E. and S.P. wrote a box or subsection each. All authors reviewed, edited, and approved the manuscript.
Funding Information:
The authors thank the participants of the Denver Scenario Forum 2019 for fruitful discussions. This work received funding from the Institute for Environmental Sciences at the University of Geneva and from the NAVIGATE project of the European Union’s Horizon 2020 research and innovation program under grant agreement 821124 .
Publisher Copyright:
© 2019 The Authors
Funding
The authors thank the participants of the Denver Scenario Forum 2019 for fruitful discussions. This work received funding from the Institute for Environmental Sciences at the University of Geneva and from the NAVIGATE project of the European Union's Horizon 2020 research and innovation program under grant agreement 821124. E.T. conceptualized the overall manuscript with expertise and feedback from all authors. E.T. wrote the original draft, and N.B. A.C. A.H. O.Y.E. and S.P. wrote a box or subsection each. All authors reviewed, edited, and approved the manuscript. The authors thank the participants of the Denver Scenario Forum 2019 for fruitful discussions. This work received funding from the Institute for Environmental Sciences at the University of Geneva and from the NAVIGATE project of the European Union’s Horizon 2020 research and innovation program under grant agreement 821124 .
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Keywords
- climate change
- energy system models
- integrated assessment models
- social sciences and humanities
- societal transformations
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