气候变化领域集成服务门户(CCPortal): Deepening transparency about value-laden assumptions in energy and environmental modelling: improving best practices for both modellers and non-modellers

CCPortal

DOI	10.1080/14693062.2020.1781048
	Deepening transparency about value-laden assumptions in energy and environmental modelling: improving best practices for both modellers and non-modellers
	Bistline J.; Budolfson M.; Francis B.
发表日期	2021
ISSN	1469-3062
卷号	21 期号:1
英文摘要	Transparency and openness are broadly endorsed in energy and environmental modelling and analysis, but too little attention is given to the transparency of value-laden assumptions. Current practices for transparency focus on making model source code and data available, documenting key equations and parameter values, and ensuring replicability of results. We argue that, even when followed, these guidelines are insufficient for achieving deep transparency, in the sense that results often remain driven by implicit value-laden assumptions that are opaque to other modellers and researchers, and that may not be understood by wider audiences to be controversial. This paper identifies additional best practices for achieving transparency by highlighting issues where disagreement over value judgements will persist for the foreseeable future. Recommendations for deepening transparency are developed by learning from successes and ongoing challenges represented in three case studies. We provide recommendations to accelerate the adoption of additional best practices for deepening transparency of energy and environmental modelling in policy-relevant domains, increasing stakeholder participation with non-modellers, and encouraging interdisciplinary dialogue. Key policy insights Achieving all of the goals associated with transparency requires more than current practices of providing open source data, code, and model documentation. Greater interdisciplinary dialogue could improve transparency beyond current practices, including in model development, application, and communications. Better practices for addressing contentious and value-laden assumptions include providing accessible documentation for non-specialists, increasing policymaker participation to ensure that model outputs can inform questions, and performing sensitivity analyses that cover a range of reasonable views about value-laden assumptions. Energy and environmental modellers should account for audience-specific considerations to promote transparency, especially accounting for needs of non-modellers such as policymakers. © 2020 Informa UK Limited, trading as Taylor & Francis Group.
英文关键词	economic analysis; energy and environmental policy; modelling; Transparency; uncertainty; values
来源期刊	CLIMATE POLICY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/183700
作者单位	Electric Power Research Institute, Palo Alto, CA, United States; Environmental and Occupational Health, Population-Level Bioethics, and Philosophy, Rutgers University, New Brunswick, NJ, United States; Department of Philosophy, University of Maryland, Baltimore County, Baltimore, MD, United States
推荐引用方式 GB/T 7714	Bistline J.,Budolfson M.,Francis B.. Deepening transparency about value-laden assumptions in energy and environmental modelling: improving best practices for both modellers and non-modellers[J],2021,21(1).
APA	Bistline J.,Budolfson M.,&Francis B..(2021).Deepening transparency about value-laden assumptions in energy and environmental modelling: improving best practices for both modellers and non-modellers.CLIMATE POLICY,21(1).
MLA	Bistline J.,et al."Deepening transparency about value-laden assumptions in energy and environmental modelling: improving best practices for both modellers and non-modellers".CLIMATE POLICY 21.1(2021).