种类
Course
CIFAL Honolulu - GIS Strategies for Oceania
位置
Web-based
日期
-
期限
42 Days
项目领域
Decentralize Cooperation Programme
合伙
CIFAL Honolulu
Chaminade University of Honolulu
NSF All-SPICE Alliance
登记
Open-registration event
交货方式
E-learning
语言
English
支柱
人类
活动目标
1. Discuss the unique considerations of geospatial data; 2. Identify key geospatial indicators of sustainability and resilience; 3. Search for and access existing geospatial datasets; 4. Scope geospatial data challenges in Pacific islands and support the development of effective policy for enabling data environments; 5. Improve the capacity of their organization and/or community for the future of geospatial data use
背景信息
This course will use use geospatial data and technologies to address pressing issues of sustainability and resilience in Oceania, framed around the United Nations Sustainable Development Goals (SDG, e.g., Climate Action, Life Under Water, Life On Land).
学习目标
1. Discuss the unique considerations of geospatial data; 2. Identify key geospatial indicators of sustainability and resilience; 3. Search for and access existing geospatial datasets; 4. Scope geospatial data challenges in Pacific islands and support the development of effective policy for enabling data environments; 5. Improve the capacity of their organization and/or community for the future of geospatial data use
内容和框架
Readings and videos provided on Google Classroom. Students participate in weekly small-group discussions, weekly guest speaker presentations, and weekly assignments. Students complete a final individual project and present at a Challenge Showcase.
方法
Students learn about systems thinking, spatial thinking, and data strategies and apply what they learn to their individual projects centered on promoting sustainability and resilience in their own community.
目标受众
This course is ideal for students and professionals interested in environmental conservation, disaster management, climate resilience, geopolitics, and social development in the Pacific region. It is also valuable for those pursuing careers in geospatial data science and its applications. Residents of Pacific islands/Oceania will receive acceptance priority.
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