Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published.According to news reporting originating in Wageningen,Netherlands,by NewsRx journalists,research stated,"Machine learning presents opportunities for tracking evidence on climate change adaptation,including text -based methods from natural language processing.In theory,such tools can analy se more data in less time,using fewer resources and with less risk of bias." Financial supporters for this research include Natural Environment Research Coun cil (NERC),UK Natural Environment Research Council (Panorama DTP),European Res earch Council under the European Union's Horizon 2020 Research and Innovation pr ogramme (GENIE Project).The news reporters obtained a quote from the research from Wageningen University,"However,the first generation of adaptation studies have delivered only proof of concepts.Reviewing these first studies,we argue that future efforts should focus on creating more diverse datasets,investigating concrete hypotheses,fos tering collaboration and promoting ‘machine learning literacy',including unders tanding bias.More fundamentally,machine learning enables a paradigmatic shift towards automating repetitive tasks and makes interactive ‘living evidence' plat forms possible.Broadly,the adaptation community is failing to prepare for this shift.Flagship projects of organizations such as the IPCC could help to lead t he way.This Perspective evaluates efforts using machine learning to track globa l progress on adaptation,focusing on recent efforts in text analysis.It discus ses practical and theoretical challenges,lessons learned and ways forward."
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