Collaborative Research: Encoding Geography - Scaling up an RPP to achieve inclusive geocomputational education

合作研究：编码地理 - 扩大 RPP 以实现包容性地理计算教育

• 批准号: 2031407
• 负责人: Atsushi Nara
• 金额: $ 40万
• 依托单位: San Diego State University Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2031407&HistoricalAwards=false
• 关键词: Collaborative; Research; Encoding; Geography; Scaling

The geospatial services industry is a profitable and rapidly growing field; however, employers find it difficult to hire scientists with expertise in both geography and computer science. The limited availability of training opportunities in both computer science and geography has created a shortage of workers with the necessary knowledge and skill sets for those jobs. Through a Researcher-Practitioner Partnership (RPP), The Association of American Geographers (AAG), in collaboration with Texas State University, the University of California-Riverside, San Diego State University, the California Geographic Alliance, Sweetwater Union High School District, and San Diego Mesa College, will create an inclusive high school to college curriculum pathway that bridges concepts in computer science and geography. This RPP will support the development of a curriculum that is conceptually rigorous, inclusive, and culturally relevant. It will also produce a replicable approach for teaching geocomputation that is accessible and motivational for all learners.The Association of American Geographers (AAG), in collaboration with Texas State University, the University of California-Riverside, San Diego State University, the California Geographic Alliance, Sweetwater Union High School District, and San Diego Mesa College, proposes a CSforALL-PreK-14 Pathways Strand project to scale up its Encoding Geography Researcher-Practitioner Partnership (RPP) activities in California. This RPP will pursue research and development activities supporting an inclusive curriculum pathway toward geocomputationally intensive majors and careers. The first year of the project will focus on baseline data collection. In year two, AAG will convene a workshop with RPP members to produce culturally relevant geocomputational lessons and being to implement those lesson in CS and geography courses in high school and college. In the final year, the RPP will revise the lessons for ongoing implementation. The AAG will also implement a dissemination plan to scale up the RPP across California and to other states. An expert committee will provide a formative and summative evaluation of the project. This RPP will produce a replicable methodology for articulating curriculum pathways in geocomputation that are inclusive, accessible, and motivational for all learners. By involving the very stakeholders with whom the curriculum is concerned, systemic change toward a more diverse workforce in geocomputation is more likely to be achieved.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

地理空间服务行业是一个有利可图且快速增长的领域。但是，雇主发现很难雇用具有地理和计算机科学专业知识的科学家。计算机科学和地理学的培训机会的有限可用性造成了工人的短缺，这些工人具有为这些工作提供必要的知识和技能。通过研究人员 - 实证人合作伙伴关系（RPP），美国地理学家协会（AAG）与德克萨斯州立大学，加利福尼亚大学河畔大学，圣地亚哥州立大学，加利福尼亚地理联盟，Sweetwater Union High School District和San Diego Mesa College合作，将创建一个包含大学课程的高中，以使其成为计算机科学和地理位置。该RPP将支持在概念上严格，包容和文化相关的课程的开发。 它还将产生一种可复制的方法，用于教授所有学习者，这对于所有学习者来说都是可访问和动机的。加利福尼亚州的研究人员 - 实证人合作伙伴关系（RPP）活动。该RPP将从事研究和发展活动，以支持具有包容性的课程途径，以实现地理位置强化的专业和职业。该项目的第一年将集中于基线数据收集。 在第二年，AAG将与RPP成员召开研讨会，以制作与文化相关的地理计算课程，并在高中和大学的CS和地理课程中实施这些课程。在最后一年，RPP将修改持续实施的课程。 AAG还将实施一项传播计划，以扩大整个加利福尼亚州和其他州的RPP。专家委员会将对项目提供形成性和总结性评估。该RPP将产生一种可复制的方法，用于阐明对所有学习者的包容性，易于访问和动机的地理作品中的课程途径。通过让与课程有关的利益相关者参与，更有可能实现与更多样化的劳动力的系统性变化。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的审查标准通过评估来获得支持的。

项目成果

Predicting households’ residential mobility trajectories with geographically localized interpretable model-agnostic explanation (GLIME)

• DOI: 10.1080/13658816.2023.2264921
• 发表时间: 2023-10
• 期刊: International Journal of Geographical Information Science
• 影响因子: 5.7
• 作者: Chanwoo Jin;Sohyun Park;Hui Jeong Ha;Jinhyung Lee;Junghwan Kim;Johan Hutchenreuther;Atsushi Nara

Spatially weighted structural similarity index: a multiscale comparison tool for diverse sources of mobility data

空间加权结构相似性指数：针对不同来源的流动性数据的多尺度比较工具

• DOI: 10.1145/3557921.3565542
• 发表时间: 2022
• 期刊: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility
• 作者: Embury, Jessica;Nara, Atsushi;Jin, Chanwoo
• 通讯作者: Jin, Chanwoo

Building Educational Capacity for Inclusive Geocomputation: A Research-Practice Partnership in Southern California

建设包容性地理计算的教育能力：南加州的研究与实践合作伙伴关系

• DOI: 10.1080/00221341.2021.1933140
• 发表时间: 2021
• 期刊: Journal of Geography
• 影响因子: 3.1
• 作者: Solem, Michael;Dony, Coline;Herman, Thomas;León, Kelly;Magdy, Amr;Nara, Atsushi;Ray, Waverly;Rey, Sergio;Russell, Rachel
• 通讯作者: Russell, Rachel