{"product_id":"9783032229779","title":"A Computational Framework for Energy Policy Coherence","description":"\u003ch3\u003eSpringerBriefs in Energy Computational Modeling of Energy Systems\u003c\/h3\u003e\u003ch1\u003eA Computational Framework for Energy Policy Coherence\u003c\/h1\u003e\u003ch3\u003eRabaï Bouderhem\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eTechnology \u0026amp; Engineering \/ Power Resources \/ Alternative \u0026amp; Renewable\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003eComputational methods can achieve high accuracy, process large document collections, and generate actionable policy insights. Nevertheless, energy policy remains inconsistent, and institutional fragmentation persists, excluding marginalized populations from reshaping governance. This issue stems from conceptual failures rather than technical ones, as biased algorithms reinforce existing power structures. This book examines why these challenges arise. The governance-data-inequality nexus shows how institutional fragmentation creates biased data infrastructures that train algorithms, perpetuating fragmentation. By combining complexity science with ethical frameworks like energy justice, the analysis reveals why conventional computational approaches serve only as diagnostic tools rather than genuine governance solutions. The BRIDGE-E framework redefines computational governance. Equity is not merely an afterthought but a guiding principle for algorithmic systems. Epistemic inclusion shapes what counts as data, and energy justice determines policy pathways. Deliberation is central, promoting internal institutional capacity instead of reliance on external solutions. BRIDGE-E effectively addresses the challenges of institutional fragmentation, data scarcity, and contested values in governance.\u003c\/p\u003e\r\n\u003cp\u003e\u003cem\u003eA Computational Framework for Energy Policy Coherence\u003c\/em\u003e serves policymakers, energy planners, AI researchers, and development practitioners by explaining how computational innovation can address governance fragmentation while ensuring equity.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003cp\u003e\u003cstrong\u003eRabaï Bouderhem\u003c\/strong\u003e is an Associate Professor of Law. His research investigates the regulation and governance of artificial intelligence and data science methodologies through an interdisciplinary lens, integrating legal analysis with complexity economics, epistemic injustice theory, information ethics, and responsible AI frameworks to develop adaptive and equitable regulatory approaches.\u003c\/p\u003e\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e30 June 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Switzerland\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9783032229779\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003ePaperback \/ softback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e118\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":46545685545100,"sku":"9783032229779","price":44.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783032229779.jpg?v=1780594791","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783032229779","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}