REU Site: EcoInformatics Summer Institute

这个REU网站的目标是(1)培养来自生态系统、地球、工程、数学和计算机科学的学生进行跨学科合作研究和专业发展，(2)通过招募合格的、多样化的学生从事需要计算机、数学科学和工程投入的生态问题，防止美国公民从STEM（科学、技术、工程和数学）学科中流失。(3)开展研究，开发和应用计算机科学、工程和数学方面的新技术，以解决自然资源管理问题，使信息学使科学和科学使工具开发成为可能。我们将通过结构化的研究经验、专题和专业发展研讨会、与其他REU网站的交流、身临其境的实地体验、指导和发展大学关系来实现这些目标。学生将从生态学、地球科学、工程学、数学和计算机科学领域招收。我们将积极招收原住民、黑人和西班牙裔美国人，并为所有学生提供高质量的指导、研究生奖学金机会和职业咨询，以便他们进入劳动力市场，为自然资源管理和政策做出重要贡献。我们打算为学生提供今天所需的技能。信息技术和模型是生态系统管理的重要组成部分。在跨学科科学家团队的指导下，参与者将研究三个关键主题：(1)利用传感器网络、计算机可视化、数学模型和气候与植被的实地研究，研究区域气候变化与植被“地貌”大气的相互作用；(2)利用生物声学、机器学习和大型鸟类和昆虫数据集研究物种分布的景观尺度变化；(3)利用光纤温度传感器、河道水力学物理模型和数学模型进行网络尺度河道恢复。每个主题都整合了生态原理、实地经验、新颖的工程技术、计算机科学的新发展以及数学建模和解决问题的方法。这个REU网站将作为一个国家模式，转变本科生教育，将生态系统信息学（EI）作为一套工具和思维方式，在跨学科的背景下处理和解决自然资源问题。这些活动将促进发现，同时促进在气候变化、生态变化和恢复等关键社会问题上的培训和学习。它将招募和培训代表性不足的少数民族，加强安德鲁斯森林LTER和俄勒冈州立大学波浪实验室的基础设施和项目，与俄勒冈州立大学的IGERT和reu建立联系，并向美国农业部的合作伙伴传播管理和政策影响。

The objectives of this REU Site are to (1) Train students from ecosystem, earth, engineering, mathematics, and computer sciences in collaborative interdisciplinary research and professional development, (2) Forestall the flight of US citizens from STEM (science, technology, engineering, and mathematics) disciplines by recruiting qualified, diverse students to engage in ecological problems requiring computer, mathematical sciences and engineering input, and (3) Conduct research to develop and apply novel techniques in computer science, engineering, and mathematics to solve natural resource management problems, allowing informatics to enable the science and the science to enable tool development. We will achieve these objectives through structured research experiences, thematic and professional development seminars, exchanges with other REU sites, immersive field experiences, and mentoring and development of collegial relationships. Students will be recruited from ecology, geosciences, engineering, mathematics, and computer science. We will actively recruit Native, Black, and Hispanic Americans and will provide all students with high quality mentoring, graduate school fellowship opportunities, and, and career counseling so they will enter the work force equipped to make key contributions to natural resources management and policy. We intend to provide students with skills for today?s science environment where information technology and models are essential parts of ecosystem management. Mentored by teams of interdisciplinary scientists, participants will address three key research themes: (1) regional climate change and vegetation "landform" atmosphere interactions using sensor networks, computer visualization, mathematical models, and field studies of climate and vegetation; (2) landscape-scale changes in species distributions using bioacoustics, machine learning, and large datasets of birds and insects; and (3) network-scale river restoration using fiber optic temperature sensors, physical models of channel hydraulics, and mathematical modeling. Each theme integrates ecological principles, field experiences, novel engineering techniques, new developments in computer science, and mathematical modeling and problem solving. This REU site will serve as a national model for transforming the education of undergraduates to embrace Ecosystem Informatics (EI) as both a set of tools and a mindset for approaching and solving natural resources problems in an interdisciplinary context. The activities will advance discovery while promoting training and learning in key social issues including climate change, ecological change, and restoration. It will recruit and train underrepresented minorities, enhance infrastructure and programs at the Andrews Forest LTER and OSU Wave Lab, link with an IGERT and REUs at OSU, and disseminate management and policy implications to USFS partners.