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  "name": "arctic-infrastructure-mapping-with-ai",
            
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  "notes": "Data products from the cyber2a.github.io\r\nFound on the 
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  "notes": "Data products from the cyber2a.github.io\r\nFound on the 
            
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Arctic Data Center\r\n",
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Arctic Data Center\r\n",
            
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    "description": "Planet Texas 2050's interdisciplinary research 
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    "description": "Planet Texas 2050's interdisciplinary research 
            
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teams work on designing solutions for stronger, more resilient 
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teams work on designing solutions for stronger, more resilient 
            
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communities. The initiative combines expertise from architects, 
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communities. The initiative combines expertise from architects, 
            
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archaeologists, city planners, public health experts, geologists, 
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archaeologists, city planners, public health experts, geologists, 
            
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engineers, biologists, computer scientists, artists and 
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engineers, biologists, computer scientists, artists and 
            
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community-based partners in an eight-year research program.",
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      "description": "Abstract\r\nArtificial Intelligence for mapping 
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      "description": "Abstract\r\nArtificial Intelligence for mapping 
            
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Arctic infrastructures on April 7, 9 am AKT/ 1 pm ET was co-hosted by 
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Arctic infrastructures on April 7, 9 am AKT/ 1 pm ET was co-hosted by 
            
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NSF Cyber2A project, the CRAFT Research Coordination Network 
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NSF Cyber2A project, the CRAFT Research Coordination Network 
            
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(Co-creating Research for Just Arctic Future Infrastructure 
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(Co-creating Research for Just Arctic Future Infrastructure 
            
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Transformations, Resilience, and Adaptation), and the Permafrost 
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Transformations, Resilience, and Adaptation), and the Permafrost 
            
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Discovery Gateway project. The Webinar\u2019s host: Wenwen Li (School 
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Discovery Gateway project. The Webinar\u2019s host: Wenwen Li (School 
            
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of Geographical Sciences and Urban Planning, Arizona State 
51
of Geographical Sciences and Urban Planning, Arizona State 
            
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University). Panelists: Chandi Witharana (Assistant Professor of 
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University). Panelists: Chandi Witharana (Assistant Professor of 
            
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Remote Sensing in the Department of Natural Resources and the 
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Remote Sensing in the Department of Natural Resources and the 
            
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Environment at the University of Connecticut), Elias Manos (PhD 
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Environment at the University of Connecticut), Elias Manos (PhD 
            
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student at the University of Connecticut Department of Natural 
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student at the University of Connecticut Department of Natural 
            
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Resources & the Environment), and Bessie Weston (Indigenous Alaska 
56
Resources & the Environment), and Bessie Weston (Indigenous Alaska 
            
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Native of Cup\u2019ig decent, Co-PI and Mekoryuk Advisory Board Member 
57
Native of Cup\u2019ig decent, Co-PI and Mekoryuk Advisory Board Member 
            
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for the NSF NNA Project, Meq Unguvatarkarput).",
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for the NSF NNA Project, Meq Unguvatarkarput).",
            
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      "description": "Elias Manos. (2024). Comprehensive baseline 
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      "description": "Elias Manos. (2024). Comprehensive baseline 
            
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inventory of Alaskan buildings and roads detected from 0.5 meter 
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inventory of Alaskan buildings and roads detected from 0.5 meter 
            
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resolution satellite imagery (2018-2023) of communities and 
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resolution satellite imagery (2018-2023) of communities and 
            
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supplemented by OpenStreetMap. Arctic Data Center. 
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supplemented by OpenStreetMap. Arctic Data Center. 
            
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doi:10.18739/A2KS6J64W.",
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doi:10.18739/A2KS6J64W.",
            
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and roads detected from 0.5 meter resolution satellite imagery 
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and roads detected from 0.5 meter resolution satellite imagery 
            
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(2018-2023) of communities and supplemented by OpenStreetMap",
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      "description": "Chandi Witharana, Mahendra R. Udawalpola, Amal 
            
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S. Perera, Amit Hasan, Elias Manos, Anna Liljedahl, Mikhail Kanevskiy, 
            
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M. Torre Jorgenson, Ronald Daanen, Benjamin Jones, Howard Epstein, 
            
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Matthew B. Jones, Robyn Thiessen-bock, Juliet Cohen, & Kastan Day. 
            
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(2023). Ice-wedge polygon detection in satellite imagery from 
            
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pan-Arctic regions, Permafrost Discovery Gateway, 2001-2021. Arctic 
            
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Data Center. doi:10.18739/A2KW57K57.",
            
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  "tags": [
            
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      "display_name": "Alaska",
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      "display_name": "Alaska",
            
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      "name": "Alaska",
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      "name": "Alaska",
            
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  ],
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  ],
            
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  "title": "Arctic Infrastructure Mapping with AI",
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  "title": "Arctic Infrastructure Mapping with AI",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "url": "https://arcticdata.io",
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  "url": "https://arcticdata.io",
            
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  "version": ""
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  "version": ""
            
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}
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