{"refrec":{"BRefID":345151,"RR":"<b>Chen, T.</b> (2021). Expert Group on Antarctic Biodiversity Informatics: Coordinating the state-of-the-art internationally for biodiversity informatics in Antarctica. <i>Biodiversity Information Science and Standards 5</i>: e74332. <a href=\"https://dx.doi.org/10.3897/biss.5.74332\" target=\"_blank\">https://dx.doi.org/10.3897/biss.5.74332</a>","BEntID":341786,"PublicFlag":1,"CheckedFlag":0,"wosflag":0,"vabbflag":0,"RefStringPartII":". <i>Biodiversity Information Science and Standards 5</i>: e74332. <a href=\"https://dx.doi.org/10.3897/biss.5.74332\" target=\"_blank\">https://dx.doi.org/10.3897/biss.5.74332</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Chen, T.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Chen, T.","Englishabstract":"Biodiversity informatics have emerged as a key asset in wildlife and ecological conservation around the world. This is especially true in Antarctica, where climate change continues to threaten marine and terrestrial species. It is well documented that the polarregions experience the most drastic rate of climate change compared to the rest of the world (IPCC 2021). Research approaches within the scope of polar biodiversity informatics consist of computational architectures and systems, analysis and modelling methods, andhuman-computer interfaces, ranging from more traditional statistical techniques to more recent machine learning and artificial intelligence-based imaging techniques. Ongoing discussions include making datasets findable, accessible, interoperable and reusable(FAIR) (Wilkinson et al. 2016). 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