NRT-HDR: WaterCube: Big Data Water Science for Sustainability and Equity

NRT-HDR：WaterCube：大数据水科学促进可持续发展和公平

• 批准号: 2244164
• 负责人: Xiaobo Tan
• 金额: $ 300万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2028-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2244164&HistoricalAwards=false
• 关键词: NRT; HDR; WaterCube; Big; Data

Large and complex real-world water resource problems are affecting human well-being across the globe. These problems are exacerbated by climate change, aging infrastructure, emerging contaminants, and poor decision-making. Recent examples in the United States include: the Flint water crisis; the years-long unsafe drinking water in Jackson, Mississippi; the Colorado River crisis; wide-spread contamination of water with per- and polyfluoroalkyl substances (PFAS); and prolonged drought followed by a extreme flooding in California. Advances in sensors, robotics, genomics, and computational modeling are resulting in the big data necessary to confront these challenges available at all scales. What is needed is a workforce capable of translating these big data and complex research outputs into meaningful restorative actions through partnerships with diverse stakeholders, interest groups, and policymakers. This National Science Foundation Research Traineeship (NRT) award to Michigan State University (MSU) will develop a collaborative graduate-training paradigm for advancing data revolution-enabled water sustainability through an equity lens. Building on synergistic, interdisciplinary collaboration among faculty from thirteen departments across seven colleges, the project anticipates training 58 Ph.D. students, including 33 NRT-funded trainees, from engineering, computer science, biology, ecology, public health, and social science. This NRT program will produce a highly competent workforce with the broad technological, scientific, and cultural skills needed to address current and future water challenges. Through focused effort on broadening participation in this critical area, students from diverse ethnic, cultural, and socioeconomic backgrounds will be trained to become successful research and policy leaders.This NRT program will immerse students in a holistic approach to training and convergent research where engineers, computer scientists, biologists, ecologists, and social scientists work together to solve water problems of paramount significance. Such a convergent research paradigm promises progress in addressing critical challenges in water sustainability and equity, examples of which include understanding and mitigating harmful algal blooms, advancing wastewater surveillance to monitor outbreaks of infectious diseases, and engaging disadvantaged communities in data-enabled water research to support equitable outcomes. A graduate certificate program on Data-enabled Water Sustainability and Equity will provide training that integrates data science, water science, and environmental equity. Through dialogue-based team science workshops, cohorts will reflect on disciplinary differences and similarities and learn to communicate and collaborate in cross-disciplinary partnerships. This NRT program will develop robust, structured mechanisms for providing experiential learning for trainees, such as internships and international research experiences. Outreach and other professional development activities will allow the trainees to gain skills in effective mentoring, leadership, and communication.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.

现实世界中存在的巨大而复杂的水资源问题正在影响着地球仪各地的人类福祉。气候变化、基础设施老化、新出现的污染物和决策失误加剧了这些问题。最近在美国发生的例子包括：弗林特水危机;密西西比的杰克逊多年来饮用水不安全;科罗拉多河危机;水被全氟烷基和多氟烷基物质广泛污染;以及加州的长期干旱和随后的特大洪水。传感器、机器人技术、基因组学和计算建模的进步正在产生必要的大数据，以应对各种规模的挑战。我们需要的是一支能够将这些大数据和复杂的研究成果转化为有意义的恢复行动的劳动力队伍，通过与不同的利益相关者、利益集团和政策制定者建立伙伴关系。密歇根州立大学（MSU）获得的国家科学基金会研究培训（NRT）奖将通过公平透镜开发一种合作研究生培训模式，以推进数据革命支持的水资源可持续性。该项目建立在来自七所学院十三个系的教师之间的协同，跨学科合作的基础上，预计将培养58名博士。学生，包括33名NRT资助的学员，来自工程，计算机科学，生物学，生态学，公共卫生和社会科学。该NRT计划将培养一支具有广泛技术，科学和文化技能的高素质劳动力，以应对当前和未来的水资源挑战。通过专注于扩大在这一关键领域的参与，来自不同种族，文化和社会经济背景的学生将被培养成为成功的研究和政策领导者。这个NRT计划将沉浸在一个整体的方法来培训和融合研究的学生，工程师，计算机科学家，生物学家，生态学家和社会科学家一起工作，以解决至关重要的水问题。这种趋同的研究范式有望在应对水资源可持续性和公平性方面的关键挑战方面取得进展，其中包括了解和减轻有害藻华，推进废水监测以监测传染病的爆发，以及让弱势社区参与数据驱动的水资源研究以支持公平的结果。关于数据驱动的水资源可持续性和公平的研究生证书课程将提供整合数据科学，水科学和环境公平的培训。通过基于对话的团队科学研讨会，队列将反映学科的差异和相似之处，并学会在跨学科的伙伴关系中进行沟通和合作。该NRT计划将开发强大的，结构化的机制，为学员提供体验式学习，如实习和国际研究经验。外展和其他专业发展活动将使学员获得有效指导，领导和沟通的技能。NSF研究培训（NRT）计划旨在鼓励开发和实施大胆的，新的潜在变革模式，用于STEM研究生教育培训。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。