M. Cherrington, David Airehrour, Joan Lu, Qiang Xu, Stephen Wade, Ihaka Dunn
{"title":"Indigenous Big Data Implications in New Zealand","authors":"M. Cherrington, David Airehrour, Joan Lu, Qiang Xu, Stephen Wade, Ihaka Dunn","doi":"10.1109/ITNAC50341.2020.9315078","DOIUrl":null,"url":null,"abstract":"Our world is dynamic and digital. It is irrefutable; big data are reshaping commerce, healthcare and governmental decisions. Individuals forgo awareness or even desire to uncover or appreciate how big data are affecting our society. This raises distinct data issues of huge effect, especially for indigenous communities. The novel proposition of this research, is that by considering advances in big data optimisation and issues from an indigenous perspective, a broad appreciation of decision-making significances will result. The microcosm in Aotearoa, New Zealand is relatively simple. It permits both a clear and leading view, especially of complex indigenous effects, due to its foundations in Māoridom. As big data advancements impact the quality of life for us all, there is an enormous responsibility, opportunity and incentive to focus research and awareness into nascent data design fields. Through an indigenous lens, unique perspectives and insights are shaped and presented in this paper, implicating feature selection in high-dimensional data.","PeriodicalId":131639,"journal":{"name":"2020 30th International Telecommunication Networks and Applications Conference (ITNAC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 30th International Telecommunication Networks and Applications Conference (ITNAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNAC50341.2020.9315078","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Our world is dynamic and digital. It is irrefutable; big data are reshaping commerce, healthcare and governmental decisions. Individuals forgo awareness or even desire to uncover or appreciate how big data are affecting our society. This raises distinct data issues of huge effect, especially for indigenous communities. The novel proposition of this research, is that by considering advances in big data optimisation and issues from an indigenous perspective, a broad appreciation of decision-making significances will result. The microcosm in Aotearoa, New Zealand is relatively simple. It permits both a clear and leading view, especially of complex indigenous effects, due to its foundations in Māoridom. As big data advancements impact the quality of life for us all, there is an enormous responsibility, opportunity and incentive to focus research and awareness into nascent data design fields. Through an indigenous lens, unique perspectives and insights are shaped and presented in this paper, implicating feature selection in high-dimensional data.