The social and behavioural sciences are critical for informing climate- and energy-related policies. We describe a decision science approach to applying those sciences. It has three stages: formal analysis of decisions, characterizing how well-informed actors should view them; descriptive research, examining how people actually behave in such circumstances; and interventions, informed by formal analysis and descriptive research, designed to create attractive options and help decision-makers choose among them. Each stage requires collaboration with technical experts (for example, climate scientists, geologists, power systems engineers and regulatory analysts), as well as continuing engagement with decision-makers. We illustrate the approach with examples from our own research in three domains related to mitigating climate change or adapting to its effects: preparing for sea-level rise, adopting smart grid technologies in homes, and investing in energy efficiency for office buildings. The decision science approach can facilitate creating climate- and energy-related policies that are behaviourally informed, realistic and respectful of the people whom they seek to aid.
%0 Journal Article
%1 WongParodi2016Decision
%A Wong-Parodi, Gabrielle
%A Krishnamurti, Tamar
%A Davis, Alex
%A Schwartz, Daniel
%A Fischhoff, Baruch
%D 2016
%I Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.
%J Nature Clim. Change
%K social climatechange energy mitigation adaptation sealevelrise
%N 6
%P 563--569
%R 10.1038/nclimate2917
%T A decision science approach for integrating social science in climate and energy solutions
%U http://dx.doi.org/10.1038/nclimate2917
%V 6
%X The social and behavioural sciences are critical for informing climate- and energy-related policies. We describe a decision science approach to applying those sciences. It has three stages: formal analysis of decisions, characterizing how well-informed actors should view them; descriptive research, examining how people actually behave in such circumstances; and interventions, informed by formal analysis and descriptive research, designed to create attractive options and help decision-makers choose among them. Each stage requires collaboration with technical experts (for example, climate scientists, geologists, power systems engineers and regulatory analysts), as well as continuing engagement with decision-makers. We illustrate the approach with examples from our own research in three domains related to mitigating climate change or adapting to its effects: preparing for sea-level rise, adopting smart grid technologies in homes, and investing in energy efficiency for office buildings. The decision science approach can facilitate creating climate- and energy-related policies that are behaviourally informed, realistic and respectful of the people whom they seek to aid.
@article{WongParodi2016Decision,
abstract = {The social and behavioural sciences are critical for informing climate- and energy-related policies. We describe a decision science approach to applying those sciences. It has three stages: formal analysis of decisions, characterizing how well-informed actors should view them; descriptive research, examining how people actually behave in such circumstances; and interventions, informed by formal analysis and descriptive research, designed to create attractive options and help decision-makers choose among them. Each stage requires collaboration with technical experts (for example, climate scientists, geologists, power systems engineers and regulatory analysts), as well as continuing engagement with decision-makers. We illustrate the approach with examples from our own research in three domains related to mitigating climate change or adapting to its effects: preparing for sea-level rise, adopting smart grid technologies in homes, and investing in energy efficiency for office buildings. The decision science approach can facilitate creating climate- and energy-related policies that are behaviourally informed, realistic and respectful of the people whom they seek to aid.},
added-at = {2018-06-18T21:23:34.000+0200},
author = {Wong-Parodi, Gabrielle and Krishnamurti, Tamar and Davis, Alex and Schwartz, Daniel and Fischhoff, Baruch},
biburl = {https://www.bibsonomy.org/bibtex/2d819c4c4f8ee49078a01ff70d7bcd974/pbett},
citeulike-article-id = {14055130},
citeulike-linkout-0 = {http://dx.doi.org/10.1038/nclimate2917},
citeulike-linkout-1 = {http://dx.doi.org/10.1038/nclimate2917},
doi = {10.1038/nclimate2917},
interhash = {b68557dc4f0b8dde2c6bb6d8884c9afb},
intrahash = {d819c4c4f8ee49078a01ff70d7bcd974},
journal = {Nature Clim. Change},
keywords = {social climatechange energy mitigation adaptation sealevelrise},
month = jun,
number = 6,
pages = {563--569},
posted-at = {2016-06-01 18:03:56},
priority = {2},
publisher = {Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.},
timestamp = {2018-06-22T18:36:26.000+0200},
title = {A decision science approach for integrating social science in climate and energy solutions},
url = {http://dx.doi.org/10.1038/nclimate2917},
volume = 6,
year = 2016
}