{"title":"循环经济和废物管理系统中的数据驱动技术和人工智能:综述","authors":"Faisal Shennib, K. Schmitt","doi":"10.1109/istas52410.2021.9629183","DOIUrl":null,"url":null,"abstract":"Sustainable waste management is an objective that is far from our current reach, requiring new paradigms of thought, policy, and technology to achieve. The explosion of new applications of data-driven technologies provides the opportunity to be applied to the challenges of waste management and moving towards circular economy. This paper reviews a broad scope of current applications of data-driven and artificial intelligence in the domain of waste management, as collected from journals, reports, and a survey of business practices. We observed that few existing applications aim to make waste data openly available. Based on this gap, we propose novel areas for research and development to assess the potential of collaborative, open, data- driven circular economy initiatives.","PeriodicalId":314239,"journal":{"name":"2021 IEEE International Symposium on Technology and Society (ISTAS)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Data-driven technologies and artificial intelligence in circular economy and waste management systems: a review\",\"authors\":\"Faisal Shennib, K. Schmitt\",\"doi\":\"10.1109/istas52410.2021.9629183\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sustainable waste management is an objective that is far from our current reach, requiring new paradigms of thought, policy, and technology to achieve. The explosion of new applications of data-driven technologies provides the opportunity to be applied to the challenges of waste management and moving towards circular economy. This paper reviews a broad scope of current applications of data-driven and artificial intelligence in the domain of waste management, as collected from journals, reports, and a survey of business practices. We observed that few existing applications aim to make waste data openly available. Based on this gap, we propose novel areas for research and development to assess the potential of collaborative, open, data- driven circular economy initiatives.\",\"PeriodicalId\":314239,\"journal\":{\"name\":\"2021 IEEE International Symposium on Technology and Society (ISTAS)\",\"volume\":\"100 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Symposium on Technology and Society (ISTAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/istas52410.2021.9629183\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Symposium on Technology and Society (ISTAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/istas52410.2021.9629183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data-driven technologies and artificial intelligence in circular economy and waste management systems: a review
Sustainable waste management is an objective that is far from our current reach, requiring new paradigms of thought, policy, and technology to achieve. The explosion of new applications of data-driven technologies provides the opportunity to be applied to the challenges of waste management and moving towards circular economy. This paper reviews a broad scope of current applications of data-driven and artificial intelligence in the domain of waste management, as collected from journals, reports, and a survey of business practices. We observed that few existing applications aim to make waste data openly available. Based on this gap, we propose novel areas for research and development to assess the potential of collaborative, open, data- driven circular economy initiatives.