NRT-HDR: Convergent Research in Integrative and Public Land Management

NRT-HDR：综合和公共土地管理的融合研究

• 批准号: 2125921
• 负责人: Briget Eastep
• 金额: $ 196.96万
• 依托单位: Western Colorado University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2125921&HistoricalAwards=false
• 关键词: NRT; HDR; Convergent; Research; Integrative

This National Science Foundation Research Traineeship (NRT) award to Western Colorado University will train diverse future scientists to help land management institutions respond to the dramatic challenges faced by American public lands. These challenges include global environmental change, rapid political and economic shifts, increased recreation demand, and varying patterns of resource development. Land managers face innumerable dilemmas associated with these accelerating changes that demand both new ecological knowledge and the capacity to effectively utilize that knowledge within complex social systems. The increasing public availability of big data and powerful computing platforms fundamentally change the questions ecologists can ask and answer regarding such land management challenges. The project anticipates training more than 120 students, including 16 funded trainees, from the Master in Ecology and Master in Environmental Management programs. Trainees will develop, implement and assess adaptive management approaches aligned with rapidly changing environmental conditions. This traineeship will cultivate a new generation of scientists to inform and manage ecological and and land management projects at the scale, speed, and direction needed to respond to ecological changes reshaping our planet. By converging big data, sensing technology, and machine learning with the traditional site-level work of field biologists, the research to be conducted by the NRT trainees will generate transformative knowledge of ecological processes. Trainees will employ state-of-the-art data tools to evaluate management dilemmas, inform on-the-ground decision-making, and evaluate the effects of response strategies upon species and ecosystems. Students will develop big-data skills through collaborations with engineering and computer science colleagues to build machine learning algorithms or customize data generation tools. The program will advance research collaborations undertaken in partnership with ecological researchers, land management agencies, and the public. Intervention strategies will be designed and implemented within an experimental framework to facilitate the rigorous assessment of effects and effectiveness. In addition to developing cutting-edge research capabilities, NRT trainees will attain the leadership skills necessary to analyze and apply scientific knowledge to the complex realities of planning, policy development, and management of public lands. By integrating targeted training in ecological data science with professional leadership, the traineeship will foster a high-return, interdisciplinary synergy between science and professional master’s degree programs. The NSF Research Traineeship (NRT) Program is designed to encourage the development and implementation of bold, new potentially transformative models for STEM graduate education training. The program is dedicated to effective training of STEM graduate students in high priority interdisciplinary or convergent research areas through comprehensive traineeship models that are innovative, evidence-based, and aligned with changing workforce and research needs.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这项授予西科罗拉多大学的国家科学基金会研究培训计划（NRT）将培养多样化的未来科学家，以帮助土地管理机构应对美国公共土地面临的巨大挑战。这些挑战包括全球环境变化、快速的政治和经济变化、娱乐需求的增加以及资源开发模式的变化。土地管理者面临着与这些加速变化有关的无数困境，这些变化既需要新的生态知识，也需要在复杂的社会系统中有效利用这些知识的能力。大数据和强大的计算平台的日益公开化从根本上改变了生态学家可以就这些土地管理挑战提出和回答的问题。该项目预计将培训120多名学生，包括16名受资助的学员，来自生态学硕士和环境管理硕士课程。受训人员将制定、实施和评估适应迅速变化的环境条件的适应性管理办法。该培训将培养新一代科学家，以应对重塑我们星球的生态变化所需的规模，速度和方向来告知和管理生态和土地管理项目。通过将大数据，传感技术和机器学习与现场生物学家的传统现场工作相结合，NRT学员将进行的研究将产生生态过程的变革性知识。学员将采用最先进的数据工具来评估管理困境，为实地决策提供信息，并评估应对策略对物种和生态系统的影响。学生将通过与工程和计算机科学同事合作来开发大数据技能，以构建机器学习算法或定制数据生成工具。该计划将推进与生态研究人员，土地管理机构和公众合作开展的研究合作。将在一个实验框架内设计和实施干预战略，以促进对效果和有效性的严格评估。除了发展尖端的研究能力，NRT学员将获得必要的领导技能，分析和应用科学知识的规划，政策制定和公共土地管理的复杂现实。通过将生态数据科学的有针对性的培训与专业领导力相结合，该培训将促进科学与专业硕士学位课程之间的高回报，跨学科协同作用。NSF研究培训（NRT）计划旨在鼓励为STEM研究生教育培训开发和实施大胆的，新的潜在变革模式。该计划致力于通过创新的、基于证据的、与不断变化的劳动力和研究需求相一致的综合培训模式，在高优先级的跨学科或融合研究领域对STEM研究生进行有效培训。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。