Stakeholder-Guided Environmental Science

该奖项全部或部分根据2021年美国救援计划法案（公法117-2）资助。这个国家科学基金会研究培训（NRT）项目在得克萨斯州A M大学科珀斯克里斯蒂（TAMU-CC），一个西班牙裔服务机构（HSI），将培养学生从传统上代表性不足的群体在他们参与STEM研究领域的一部分，能够利用数据革命（HDR）为利益相关者引导的环境科学（STAGES）的跨学科环境科学家的多元化劳动力。沿海气候变化是一个巨大的挑战，有必要产生可操作的新知识和解决方案，以应对这一挑战，采用趋同的方法。海岸和海洋系统科学计划（CMSS）将容纳STAGES计划，并提供融合的培训体验。这种经验将连接创新研究的从业者和社区的需要，以回答国家关注的问题，由企业家指导。该项目预计将培训40名硕士和博士。学生，包括二十一（21）资助的学员从TAMU-CC的海岸和海洋系统科学（CMSS）计划，在四年。阶段将产生新的知识：（1）从陆地-水-大气连接点的大数据中了解驱动沿海环境系统的复杂过程，以及（2）将利益相关者和大数据融入学术研究，以促进学员参与融合研究和职业准备。CMSS教师与利益相关者的长期关系将用于可持续和可扩展的新培训模式。该模型将共同开发适合学员团队使用机器学习（ML）方法解决的研究项目。利益攸关方包括各级政府机构、非政府组织和社区团体，其共同目标是提高墨西哥湾沿岸社区和环境的复原力。STAGES将为数据密集型的融合环境科学提供课程基础，每年春季开始进行课程作业和为期一周的实地考察，亲身体验陆地-水-大气事件的相互作用。晚春利益相关者研讨会将学员和利益相关者配对，以制定以数据为中心的研究问题。夏季大数据闪电战为学员准备团队努力回答问题，最终在秋季顶点提炼和交流研究结果。学员将受益于经验丰富的教师研究人员的跨学科干部，具有广泛的领域，数据科学和学生培训经验。预计调查结果将包括以下方面的最佳实践：让利益相关者参与识别数据密集型挑战并共同开发研究问题;吸收具有不同背景的学员的挑战;以及识别适合学员不同研究领域的问题。在培训过程中，学员将成为更好的科学传播者，他们可以与利益攸关方接触，并掌握他们长期合作决策的道德层面。STAGES将建立和传播沿海和海洋系统科学的变革性STEM培训，研究和评估进展，产生可持续和可扩展的研究生教育模式。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。

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). This National Science Foundation Research Traineeship (NRT) project at the Texas A&M University-Corpus Christi (TAMU-CC), a Hispanic-Serving Institution (HSI), will train students from groups traditionally underrepresented in their participation in STEM fields of study to be part of a diverse workforce of interdisciplinary environmental scientists capable of harnessing the data revolution (HDR) for Stakeholder-Guided Environmental Science (STAGES). Coastal climate change is a grand challenge, and there is a need to generate actionable new knowledge and solutions to address this challenge, using convergent approaches. The Coastal and Marine System Science program (CMSS) will house the STAGES program and offer a convergent training experience. This experience will connect innovative research to practitioner and community needs to answer stakeholder-guided questions of national concern. The project anticipates training up to forty (40) Master's and Ph.D. students, including twenty-one (21) funded trainees from the TAMU-CC's Coastal and Marine System Science (CMSS) program, over four years.STAGES will generate new knowledge: (1) from big data at the nexus of land-water-atmospheric connections to understand complex processes driving coastal environmental systems, and (2) regarding the integration of stakeholders and big data into academic research in ways that boost trainee involvement in convergent research and occupational readiness. CMSS faculty's long-standing relationships with stakeholders will be used for a new training model that is sustainable and scalable. This model will co-develop research projects suitable for trainee teams to tackle using Machine Learning (ML) methods. Stakeholders include government agencies on all levels, non-governmental organizations, and community groups, with a common goal to improve the resiliency of Gulf Coast communities and environment. STAGES will provide a curricular foundation for convergent environmental science that is data intensive, starting each spring with coursework and a week-long field trip to experience the interaction of land-water-atmospheric events firsthand. Late Spring Stakeholder Workshops pair trainees and stakeholders to formulate data-focused research questions. Summer Big Data Blitzes prepare trainees for team efforts to answer questions, culminating in Fall Capstones to refine and communicate research results. Trainees will benefit from an interdisciplinary cadre of deeply experienced faculty researchers with extensive field, data science, and student training experience. Anticipated findings are expected to include best practices for engaging stakeholders to identify data-intensive challenges and co-develop research questions; assimilation of the challenges by trainees with various backgrounds; and identification of problems appropriate for the trainees' different fields of study. During the training process, trainees will become better science communicators who can engage stakeholders and grasp the ethical dimensions of their decisions for long-term collaborations. STAGES will establish and disseminate transformative STEM training, research, and evaluation advances in coastal and marine system science that produce a sustainable and scalable graduate education model. 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.