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）阻止美国公民逃离STEM（科学，技术，工程和数学）学科通过招募合格的，多样化的学生从事生态问题，需要计算机，数学科学和工程输入，以及（3）进行研究，以开发和应用计算机科学，工程和数学的新技术，以解决自然资源管理问题，使信息学能够使科学和科学能够开发工具。 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网站交流，身临其境的现场体验，以及指导和发展合议关系来实现这些目标。 学生将从生态学，地球科学，工程，数学和计算机科学招募。我们将积极招募土著，黑人和西班牙裔美国人，并将为所有学生提供高质量的指导，研究生院奖学金机会，和职业咨询，使他们能够进入劳动力市场，为自然资源管理和政策做出关键贡献。我们打算为学生提供今天的技能？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，参与者将讨论三个关键研究主题：（1）使用传感器网络，计算机可视化，数学模型以及气候和植被的实地研究进行区域气候变化和植被“地形”大气相互作用;（2）使用生物声学，机器学习和鸟类和昆虫的大型数据集进行物种分布的大规模变化;（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规模的河流恢复。 每个主题都融合了生态学原理、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问题解决。 这个REU网站将作为一个全国性的模式，用于改造本科生的教育，以拥抱生态系统信息学（EI）作为一套工具和一种在跨学科背景下接近和解决自然资源问题的心态。 这些活动将促进发现，同时促进气候变化，生态变化和恢复等关键社会问题的培训和学习。 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和雷乌斯建立联系，并向USFS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.