Biomimicry, big data and artificial intelligence for a dynamic climate change management policy regime
動的な気候変動管理政策のためのバイオミミクリー、ビッグデータ、人工知能 (AI 翻訳)
Human Sciences Research Council
🤖 gxceed AI 要約
日本語
本章では、従来の静的で時間のかかる政策策定プロセスに代わり、自然システムから着想を得た動的な政策策定・実施システムを提案。AIとビッグデータを用いて気候変動指標を監視し、フィードバックループで政策を自動更新する。
English
This chapter proposes a dynamic policy formulation system inspired by natural systems, using AI and big data to monitor climate indicators and automatically update policies via rapid feedback loops, avoiding delays of traditional policy processes.
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
日本の気候変動政策（カーボンプライシングや適応計画）にもAIを活用した動的調整の考え方は応用可能。特に頻繁な政策見直しが必要な分野で有用。
In the global GX context
This paper contributes to global discussions on adaptive climate governance, suggesting AI-driven policy systems that respond in real-time to changing conditions, relevant for international climate frameworks.
👥 読者別の含意
🔬研究者:Explores a novel AI-driven approach to climate policy design, offering a conceptual framework for adaptive governance.
🏢実務担当者:Highlights potential for automated policy adjustments based on real-time climate data, though implementation details are absent.
🏛政策担当者:Argues for dynamic policy regimes using AI to overcome static policy limitations; may inspire experimental regulatory sandboxes.
📄 Abstract（原文）
The adverse impacts of climate change are not always immediately discernible. Managing the impacts of this dynamic phenomenon demands an equally dynamic policy regime instead of the traditional and often static policy response mechanisms. The traditional policy responses are often a result of long consultative processes sometimes stretching over several years. Frequently, this generates obsolete policy responses. In this chapter, we propose the development of a dynamic policy and legislation formulation and implementation system that respond to dynamic disturbances such as climate change. The proposal draws from natural systems that have been constantly evolving over aeons. The proposed approach uses the systems lens of biomimicry positing that lessons from natural systems can be mimicked using models that rely on artificial intelligence (AI) to monitor changes through analysing and learning from Big Data and utilising rapid feedback loops to subsequently self-improve policy response mechanisms. Hypothetically under this approach, some key indicators for climate change and related hazards, exposure, risks and vulnerability can be tracked and material policy changes automatically made to appropriately to mitigate and/or adapt to climate change thus avoiding the pitfalls of the traditional protracted policy change routes.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.14749/32380161first seen 2026-06-12 04:47:10
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。