Leveraging natural language processing to bridge divides in sustainable transitions research DOI Creative Commons
Kyle Herman

Sustainable Environment, Journal Year: 2024, Volume and Issue: 10(1)

Published: Nov. 29, 2024

The growing need to address climate change through sustainability governance has amplified the importance of Sustainable Transitions Research (STR). Despite its interdisciplinary scope and methodological variety, STR continues face divisions between research domains, often exacerbated by rapid expansion tensions qualitative quantitative approaches. This study uses natural language processing (NLP) analyse 448 published articles, initiated from two foundational papers, explore thematic semantic patterns within field. NLP analysis reveals underlying connections synergies across theoretical, empirical, conceptual domains in STR, highlighting potential for cross-fertilisation disparate areas. findings map key relationships community, providing a comprehensive overview how different are interlinked. Recommendations include fostering hybrid approaches enhancing collaboration traditions. By bridging these divides, field can advance guiding more effective governance.

Language: Английский

The industrial decarbonization paradigm: Carbon lock-in or path renewal in the United Kingdom? DOI Creative Commons
Kyle Herman, Jeremy Hall,

Benjamin K. Sovacool

et al.

Ecological Economics, Journal Year: 2025, Volume and Issue: 235, P. 108628 - 108628

Published: April 25, 2025

Language: Английский

Citations

0
Applying the Multi-Level Perspective to climate geoengineering: Sociotechnical bottlenecks for negative emissions and cloud seeding technologies DOI
Kyle Herman, Benjamin K. Sovacool

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский

Citations

1
Imagining a net-zero Teesside: actors, networks, and expectations in industrial decarbonisation megaprojects DOI Creative Commons
Kyle Herman, Marfuga Iskandarova, Benjamin K. Sovacool

et al.

Environmental Research Communications, Journal Year: 2024, Volume and Issue: 7(1), P. 015007 - 015007

Published: Nov. 6, 2024

Abstract Decarbonising industrial clusters is critical to achieving the UK’s net-zero strategy. This study focuses on Teesside, an cluster in Northeast England, analysing its transition through framework of Sociology Expectations (SoE). The research investigates role public and private stakeholders driving decarbonisation efforts, concentrating a limited set technologies large-scale megaprojects, especially carbon capture, hydrogen production, CO 2 transport. highlights challenges deploying these first-of-a-kind technologies, which are not yet commercially viable UK. Our analysis identifies both opportunities significant risks Teesside’s approach, particularly potential over-reliance narrow range technologies. findings raise concerns about assumed reductions costs emissions, questioning feasibility scaling for long-term sustainability. main implication that, should currently favoured by incumbent industry fail perform, expectations could play double contradictory transitions—by motivating actors legitimise blinding others that lie ahead.

Language: Английский

Citations

1
Reinventing the global oil capital: The sociotechnical dynamics of industrial net-zero megaprojects in Texas DOI Creative Commons
Kyle Herman, Benjamin K. Sovacool

The Extractive Industries and Society, Journal Year: 2024, Volume and Issue: 20, P. 101518 - 101518

Published: Nov. 13, 2024

Language: Английский

Citations

0
Leveraging natural language processing to bridge divides in sustainable transitions research DOI Creative Commons
Kyle Herman

Sustainable Environment, Journal Year: 2024, Volume and Issue: 10(1)

Published: Nov. 29, 2024

The growing need to address climate change through sustainability governance has amplified the importance of Sustainable Transitions Research (STR). Despite its interdisciplinary scope and methodological variety, STR continues face divisions between research domains, often exacerbated by rapid expansion tensions qualitative quantitative approaches. This study uses natural language processing (NLP) analyse 448 published articles, initiated from two foundational papers, explore thematic semantic patterns within field. NLP analysis reveals underlying connections synergies across theoretical, empirical, conceptual domains in STR, highlighting potential for cross-fertilisation disparate areas. findings map key relationships community, providing a comprehensive overview how different are interlinked. Recommendations include fostering hybrid approaches enhancing collaboration traditions. By bridging these divides, field can advance guiding more effective governance.

Language: Английский

Citations

0