REU Site: EcoInformatics Summer Institute

REU 网站：生态信息学暑期学院

• 批准号: 1559933
• 负责人: Desiree Tullos
• 金额: $ 28.78万
• 依托单位: Oregon State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-03-01 至 2019-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1559933&HistoricalAwards=false
• 关键词: REU; Site; EcoInformatics; Summer; Institute

Non-Technical: This REU site will help support NSF's mission to promote the progress of science in two key ways, by 1) providing mentored, high-quality research experience to a diverse group of undergraduates who will become the next generation of scientists and managers, and 2) making incremental advancements in the field of EcoInformatics (EI). EcoInformatics unites theory and methods of informatics (e.g. computer science, mathematics, statistics, and engineering) with disciplines involving ecosystems and their management (e.g. ecology, geomorphology, botany). A central objective of the program is to increase the diversity in the STEM fields, and thus the project aims to attract students from a broad range of ethnicities, cultures, and life experiences. Students will spend 8 weeks at the HJ Andrews Experimental Forest, an NSF-funded LTER site and "cyberforest," working in interdisciplinary teams. As part of the program, participants will engage in professional development activities on topics including effectively communicating science, ethics in research, and career alternatives following graduate school. Research under this REU program will focus on informational and ecological networks, applying network analysis tools from computer science, mathematics, and statistics to better understand ecosystem networks and their resilience to disturbance. Broadly, research on the resiliency of networked informational systems and ecosystems following disturbances is relevant across society, informing everything from the management of cyber attacks to pollinators to flow releases from dams. The nation needs a workforce of scientists, engineers, mathematicians, and computer scientists trained to work in this area, and more generally to succeed in a society transformed by the information technology revolution. This REU program will engage and help retain students in field of STEM and develop skills to solve contemporary environmental problems in a mentored and interdisciplinary setting. Technical: The overarching goal of this REU site is to provide mentored, high-quality research experience to a diverse group of undergraduates, while making incremental advancements in the field of EcoInformatics (EI). EI unites theory and methods of informatics (e.g. computer science, mathematics, statistics, and engineering) with disciplines involving ecosystems and their management (e.g. ecology, geomorphology, botany). The objectives of the proposed REU Site are to: a) Advance the disciplinary and synthetic, interdisciplinary skills of participants, b) Develop professionals to lead and communicate science, c) Enhance diversity in the STEM fields, and d) Develop novel research on networked systems. Research under this proposed renewal will focus on informational and ecological networks, applying network analysis tools from computer science, mathematics, and statistics to better understand ecosystem networks and their resilience to disturbance. Example projects will focus on how plant-pollinator network structures achieve resilience in the face of climatic variability, natural selection, and loss and fragmentation of meadow habitats, or how statistical, mathematical, and computer science models of entropy can be advanced and applied in investigations of how stream network functions (flow of water, sediment, drift of aquatic insects) respond to perturbations. Students will spend 8 weeks at the HJ Andrews Experimental Forest, an NSF-funded LTER site and "cyberforest," with mentoring from an interdisciplinary group of collaborating STEM researchers. In addition, professional development activities will be delivered throughout the summer on a variety of topics that include effectively communicating science, ethics in research, and career alternatives following graduate school. This program will target qualified students who originate from: 1) non-traditional backgrounds (first generation college, older students), 2) under-represented minority groups (Native American, Hispanic, and women students), and 3) academic institutions with limited research opportunities in STEM. The integrated measurement and modeling research that REU students conduct in this program will generate new, fundamental knowledge on the stability and resilience of networks to perturbations, which can be relevant to other networked systems in society. Furthermore, this REU program will help develop the workforce of scientists, engineers, mathematicians, and computer scientists trained to succeed in a society transformed by the information technology revolution.

非技术：这个REU网站将通过两个关键方式帮助支持NSF的使命，即：1)向将成为下一代科学家和管理人员的不同本科生群体提供有指导的、高质量的研究经验；2)在生态信息学(EI)领域取得渐进的进步。生态信息学将信息学(如计算机科学、数学、统计学和工程学)的理论和方法与涉及生态系统及其管理的学科(如生态学、地貌学、植物学)结合起来。该计划的中心目标是增加STEM领域的多样性，因此该项目旨在吸引来自广泛种族、文化和生活经历的学生。学生们将在HJ安德鲁斯实验森林度过8周，这是一个由NSF资助的LTER网站和“网络森林”，在跨学科团队中工作。作为该计划的一部分，参与者将参与专业发展活动，主题包括有效传播科学、研究中的伦理和研究生毕业后的职业选择。REU计划下的研究将侧重于信息和生态网络，应用计算机科学、数学和统计学的网络分析工具，以更好地了解生态系统网络及其对干扰的恢复能力。总的来说，对网络信息系统和生态系统在受到干扰后的恢复力的研究在整个社会都是相关的，从网络攻击的管理到传粉者再到大坝释放的水流，这些研究为一切提供了信息。国家需要一支由科学家、工程师、数学家和计算机科学家组成的劳动力队伍，他们受过培训，能够在这一领域工作，更广泛地说，是为了在一个被信息技术革命改变的社会中取得成功。这一REU项目将吸引并帮助留住STEM领域的学生，并培养在有指导和跨学科的环境中解决当代环境问题的技能。技术：这个REU网站的首要目标是为不同的本科生群体提供有指导的、高质量的研究经验，同时在生态信息学(EI)领域取得渐进的进步。EI将信息学(如计算机科学、数学、统计学和工程学)的理论和方法与涉及生态系统及其管理的学科(如生态学、地貌学、植物学)结合在一起。拟议的REU网站的目标是：a)提高参与者的学科和综合跨学科技能，b)培养领导和交流科学的专业人员，c)加强STEM领域的多样性，d)开发关于联网系统的新研究。在这项拟议更新下的研究将侧重于信息和生态网络，应用计算机科学、数学和统计学的网络分析工具，以更好地了解生态系统网络及其对干扰的恢复能力。示范项目将侧重于植物传粉网络结构如何在面对气候变化、自然选择以及草甸生境的丧失和碎片化时实现弹性，或者如何改进和应用熵的统计、数学和计算机科学模型，并将其应用于研究河流网络功能(水流、沉积物、水生昆虫漂移)如何响应扰动。学生们将在HJ安德鲁斯实验森林度过8周，这是一个由NSF资助的LTER网站和“网络森林”，由合作的STEM研究人员组成的跨学科小组提供指导。此外，专业发展活动将在整个暑期举行，内容涉及各种主题，包括有效传播科学、研究中的伦理和研究生毕业后的职业选择。这项计划将针对来自以下方面的合格学生：1)非传统背景(第一代大学，大龄学生)，2)代表性不足的少数群体(美洲原住民、西班牙裔和女性学生)，以及3)在STEM领域研究机会有限的学术机构。REU学生在本课程中进行的综合测量和建模研究将产生关于网络稳定性和抗扰动能力的新的基础知识，这些知识可能与社会中的其他网络系统相关。此外，这一REU计划将帮助培养受过培训的科学家、工程师、数学家和计算机科学家的劳动力，使他们能够在一个由信息技术革命转变的社会中取得成功。