REU Site: Cyber-HealthGIS - Multidisciplinary Research Experiences in Spatial Dynamics of Health

REU 网站：Cyber​​-HealthGIS - 健康空间动态的多学科研究经验

• 批准号: 1560106
• 负责人: Daniel Goldberg
• 金额: $ 22.98万
• 依托单位: Texas A&M University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-03-01 至 2020-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1560106&HistoricalAwards=false
• 关键词: REU; Site; Cyber; HealthGIS; Multidisciplinary

This project is funded from the Research Experiences for Undergraduates (REU) Sites program in the SBE Directorate. As such, it has both scientific and societal benefits, and it integrates research and education. This REU Site combines the fields of Computing, Geographic Information Science (GIS), and Health on the Texas A&M University (TAMU) campus in College Station, TX where undergraduate students from diverse backgrounds in Computing, GIS, and Health work together on collaborative research projects in a newly emerging field called Cyber-Enabled HealthGIS (Cyber-HealthGIS). Thirty REU students (ten each year) are engaged in research teams to promote discovery, teaching, and training through hands-on research and mentoring. Students are mentored and trained in the basics of research techniques, the responsible conduct of research, the need for diversity in research, and research designs and methods. The REU Site students collaboratively pose, execute, and evaluate research projects resulting in research advances in Cyber-HealthGIS. Through this approach, students learn research and problem-solving outside of their own discipline, and gain independence and confidence in their own ability to undertake research. This program will advance the new field of Cyber-HealthGIS by building theory, methods, and approaches which will lead to joint faculty-student publications in research journals, seminars, and conferences, and student presentations of their own research. This program fills a critical US workforce gap by creating a generation of students trained for and interested in research and scientific careers in Cyber-HealthGIS, a rapidly advancing field with the potential to improve human health and well-being. The student projects and example prototypes developed through this program will be made freely available to help foster innovation and development in the Cyber-HealthGIS industry.In this REU Site, the ideas from each student's academic/disciplinary domain is integrated to form a cohesive, achievable research goal under the umbrella of the core research themes of this project, which include (1) Outbreak surveillance through the combination of authoritative and social media data; (2) High-resolution chronic disease risk mapping with citizen-derived perceptions of community; and (3) Continuous time-enabled scalable outbreak planning. Students work closely with faculty mentors to pose the research question, develop testable hypotheses, obtain the necessary data, organize appropriate methods, engineer an approach, perform experiments, and undertake an evaluation of the results. This project will make freely available examples of prototype applications, thereby advancing the capabilities of Cyber-HealthGIS research through the development and release of free and open source (FOSS) code for the systems and example data sets used in the student research and experiments.

该项目由SBE董事会的本科生研究经验（REU）网站计划资助。因此，它具有科学和社会效益，并整合了研究和教育。这个REU网站结合了计算，地理信息科学（GIS），并在得克萨斯州的学院站，得克萨斯州的大学（TAMU）校园健康的领域，来自不同背景的本科生在计算，地理信息系统和健康的合作研究项目一起工作，在一个新兴的领域称为网络使能健康GIS（网络健康GIS）。30名REU学生（每年10名）参加研究团队，通过实践研究和指导促进发现，教学和培训。学生在研究技术的基础知识，负责任的研究行为，研究的多样性，研究设计和方法的需要进行指导和培训。REU网站的学生协作构成，执行和评估研究项目，导致网络健康GIS的研究进展。通过这种方法，学生学习研究和解决自己的学科之外的问题，并获得独立性和对自己进行研究的能力的信心。该计划将通过构建理论，方法和方法来推进网络健康GIS的新领域，这些理论，方法和方法将导致在研究期刊，研讨会和会议上发表联合师生出版物，以及学生介绍自己的研究。该计划填补了关键的美国劳动力的差距，创造了一代学生的培训和感兴趣的研究和科学事业在网络健康GIS，一个快速发展的领域，有可能改善人类健康和福祉。通过该计划开发的学生项目和示例原型将免费提供，以帮助促进网络健康GIS行业的创新和发展。在这个REU网站中，每个学生的学术/学科领域的想法被整合，以形成一个有凝聚力的，可实现的研究目标，该项目的核心研究主题的保护伞下，其中包括：（1）通过结合权威和社交媒体数据进行疫情监测;（2）高分辨率慢性病风险地图，以及公民对社区的看法;（3）持续的时间启用可扩展的疫情规划。学生与教师导师密切合作，提出研究问题，制定可验证的假设，获得必要的数据，组织适当的方法，设计方法，进行实验，并对结果进行评估。该项目将免费提供原型应用实例，从而通过为学生研究和实验中使用的系统和实例数据集开发和发布自由和开放源码代码，提高网络健康地理信息系统的研究能力。