DOI: 10.1038/s41558-019-0684-5
论文题名: A topography of climate change research
作者: Callaghan M.W. ; Minx J.C. ; Forster P.M.
刊名: Nature Climate Change
ISSN: 1758678X
出版年: 2020
卷: 10, 期: 2 语种: 英语
英文摘要: The massive expansion of scientific literature on climate change1 poses challenges for global environmental assessments and our understanding of how these assessments work. Big data and machine learning can help us deal with large collections of scientific text, making the production of assessments more tractable, and giving us better insights about how past assessments have engaged with the literature. We use topic modelling to draw a topic map, or topography, of over 400,000 publications from the Web of Science on climate change. We update current knowledge on the IPCC, showing that compared with the baseline of the literature identified, the social sciences are in fact over-represented in recent assessment reports. Technical, solutions-relevant knowledge—especially in agriculture and engineering—is under-represented. We suggest a variety of other applications of such maps, and our findings have direct implications for addressing growing demands for more solution-oriented climate change assessments that are also more firmly rooted in the social sciences2,3. The perceived lack of social science knowledge in assessment reports does not necessarily imply an IPCC bias, but rather suggests a need for more social science research with a focus on technical topics on climate solutions. © 2020, The Author(s), under exclusive licence to Springer Nature Limited. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159631
Appears in Collections: 气候变化与战略
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作者单位: Mercator Research Institute on Global Commons and Climate Change, Berlin, Germany; Priestley International Centre for Climate, University of Leeds, Leeds, United Kingdom
Recommended Citation:
Callaghan M.W.,Minx J.C.,Forster P.M.. A topography of climate change research[J]. Nature Climate Change,2020-01-01,10(2)