Bento, NunoAlves, TiagoRibeiro, RicardoFontes, Margarida2025-09-102025-09-102025-06Bento, N., Alves, T., Ribeiro, R. & Fontes, M. (2025). Decarbonization Transition Pathways and Regional Trends: Insights from One Million Studies. In: Book of Papers IST 2025: 16th International Sustainability Transitions Conference, 24-26 June 2025, Lisbon., pp. 107-130http://hdl.handle.net/10400.9/6045ABSTRACT: As global temperatures near critical thresholds and emissions continue to rise, the urgency for strategic, accelerated decarbonization grows. Despite a vast climate mitigation literature, a systematic understanding of actionable pathways remains limited. Here, we apply artificial intelligence to analyze over one million scientific papers (2011–2021), generating a data-driven typology of six archetypal decarbonization pathways: Technology Breakthrough, Electrification of Uses, Integrated Policy, Decarbonization of Electricity, Demand Reduction & Co-benefits, and Land Use & Circularity. Regional patterns show Electrification of Uses prevailing in Europe (EU27), while Technology Breakthrough dominates in China, the US, and Japan. Increasing political and societal resistance to mitigation makes the strategic selection and combination of pathways even more critical. Our analysis highlights key synergies between pathways, the scientific competencies required to support them, and persistent gaps—particularly in Land Use and Circularity. We also compare current climate policy directions with the typology, revealing alignment gaps that may weaken policy effectiveness. This framework enables policymakers to better match strategies with regional capacities and research strengths, offering a more coherent approach to decarbonization. Strengthening the integration of science, technology, and policy is essential to overcome fragmentation and deliver the emissions reductions needed to meet the net-zero climate targets.engClimate policyDecarbonizationLow-carbon innovationMachine learningDecarbonization Transition Pathways and Regional Trends: Insights from One Million Studiesconference paper