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.

该项目是从SBE董事会的本科生（REU）网站计划的研究经验中资助的。因此，它具有科学和社会利益，并且整合了研究和教育。这个REU网站结合了德克萨斯州A＆M大学（TAMU）在德克萨斯州大学站的得克萨斯州A＆M大学（TAMU）校园的计算领域，在这里，来自计算机，GIS和健康方面的本科生在一个新型领域的合作研究项目中共同研究了一个名为Cyber​​-Enabled Healthgis（Cyber​​-Healthgis（Cyber​​-Healthealthgis））的协作研究项目。 30名REU学生（每年10名）参与研究团队，以通过动手研究和指导来促进发现，教学和培训。在研究技术的基础知识，负责任的研究，研究中的需求以及研究设计和方法中，对学生进行了指导和培训。 REU网站的学生合作构成，执行和评估研究项目，从而在网络健康方面取得进展。通过这种方法，学生在自己的学科之外学习研究和解决问题，并对自己的研究能力获得独立性和信心。该计划将通过建立理论，方法和方法来推动网络健康领域的新领域，这些方法将导致研究期刊，研讨会和会议以及学生研究的学生演讲中的共同教师出版物。该计划通过创造了对网络健康研究和科学职业培训和感兴趣的一代学生，填补了一个关键的美国劳动力差距，这是一个迅速发展的领域，具有改善人类健康和福祉的潜力。通过该计划开发的学生项目和示例原型将自由使用，以帮助促进网络健康行业的创新和发展。在此REU站点中，每个学生的学术/学科领域的思想都集成了整合，以构成一个凝聚力，可实现的研究目标，这些研究目标是在此项目的核心研究中，包括该项目的核心研究，包括（包括（1）概述的作者，包括（1）通过（1）通过（1）通过（1）通过该组合进行组合。 （2）高分辨率的慢性疾病风险与公民对社区的看法相关； （3）连续启用时间可扩展的爆发计划。学生与教师的导师紧密合作，以提出研究问题，提出可检验的假设，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程序的示例，从而通过为学生研究和实验中使用的系统和示例数据集的开发和释放（FOSS）代码开发和发布网络健康研究的功能。