From collaboration to high-quality evidence for the energy transition: A total experimental field trial error framework
エネルギー転換のための協働から高品質なエビデンスへ：実験的フィールドトライアルの総合誤差枠組み (AI 翻訳)
Kacperski, Celina, Bielig, Mona, Lange, Florian, Ulloa, Roberto, Kutzner, Florian
🤖 gxceed AI 要約
日本語
本論文は、エネルギー転換分野の実験的フィールドトライアルにおける誤差の発生を体系的に捉える「Total Experimental Field Trial Error」枠組みを提案する。12件の実地試験を通じて、測定・代表性・実装の誤差が実験の5段階でどう生じ、因果推論や政策有用性を脅かすかを示し、研究者・政策立案者向けのチェックリストを提供する。
English
This paper proposes the Total Experimental Field Trial Error framework, systematically accounting for errors in field trials for the energy transition. Drawing on 12 trials, it shows how measurement, representation, and implementation errors arise across five phases, threatening causal inference and policy usefulness, and offers checklists for researchers and policymakers.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では、エネルギー政策の効果検証や行動変容施策の設計に際し、本枠組みはエビデンスの質を高める基盤となる。特に、再エネ導入や省エネ行動の実証実験を政策に結び付ける際の信頼性向上に寄与する。
In the global GX context
Globally, as governments scale up behavioral interventions for energy transition, this framework provides a common language for credible causal evidence, enhancing cross-trial comparability and policy translation. It complements disclosure-focused GX research by strengthening the evidence base for policy design.
👥 読者別の含意
🔬研究者:Provides a structured framework to design and evaluate field trials, improving causal inference and comparability across studies.
🏢実務担当者:Offers checklists to plan and execute field trials with partners, reducing errors and enhancing policy relevance.
🏛政策担当者:Highlights how to interpret field trial evidence and collaborate with researchers to generate high-quality data for energy policy.
📄 Abstract（原文）
Experimental field trials are increasingly used to generate policy-relevant behavioral evidence. Yet the field lacks a systematic account of how errors emerge across the full lifecycle of such trials, while capturing the distinctive collaboration challenges of deploying interventions in multi-stakeholder real-world systems. Building on the Total Survey Error framework and situating it in the energy transition, we propose the Total Experimental Field Trial Error framework, a structured account of how measurement, representation, and implementation errors arise and interact across five phases of a field experiment: goal definition, design, contact, data collection, and data engagement. Drawing on 12 field trials conducted in the context of the energy transition, we illustrate how these error sources manifest in practice, why they threaten causal inference and policy usefulness, and how researchers can mitigate them through coordinated planning with external partners, clearer documentation standards, and targeted diagnostic tools. We provide checklists for researchers and policymakers. By formalizing a comprehensive error framework tailored to experimental field trials especially in the energy domain, we provide a common language, and a foundation for more credible causal evidence and more interpretable cross-trial comparisons, aiding to better translate behavioral interventions into large-scale energy policies.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/21874141first seen 2026-08-11 04:14:38
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