Ontology type: schema:ScholarlyArticle Open Access: True
2019-02-25
AUTHORSBenedikt Knüsel, Marius Zumwald, Christoph Baumberger, Gertrude Hirsch Hadorn, Erich M. Fischer, David N. Bresch, Reto Knutti
ABSTRACTCommercial success of big data has led to speculation that big-data-like reasoning could partly replace theory-based approaches in science. Big data typically has been applied to ‘small problems’, which are well-structured cases characterized by repeated evaluation of predictions. Here, we show that in climate research, intermediate categories exist between classical domain science and big data, and that big-data elements have also been applied without the possibility of repeated evaluation. Big-data elements can be useful for climate research beyond small problems if combined with more traditional approaches based on domain-specific knowledge. The biggest potential for big-data elements, we argue, lies in socioeconomic climate research. More... »
PAGES196-202
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DOIhttp://dx.doi.org/10.1038/s41558-019-0404-1
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