NRT-DESE: Environment and Society: Data Science for the 21st century (DS421)

NRT-DESE：环境与社会：21 世纪的数据科学 (DS421)

• 批准号: 1450053
• 负责人: Maximilian Auffhammer
• 金额: $ 294.64万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-04-01 至 2020-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1450053&HistoricalAwards=false
• 关键词: NRT; DESE; Environment; Society; Data

Global environmental change poses critical environmental and societal needs. This National Science Foundation Research Traineeship (NRT) award prepares master's and doctoral students at the University of California - Berkeley with tools to advance frontiers at the intersection of social, natural, and data science. Trainees will develop skills in data visualization, informatics, software development, and science communication. Through an innovative team-based problem-solving course, trainees will collaborate with an external partner organization to tackle a challenge in global environmental change that includes a significant problem in data analysis and interpretation of impacts and solutions. A new generation of researchers and professionals interested in issues of environmental change will be trained in the emerging practices of open science, which will create fully reproducible and collaborative analyses that document the evidence for scientific conclusions and their implications for policy. This training program will advance progress on grand challenges of national and global importance. The research theme of this program addresses grand challenges at the junction of open science and reproducible data analysis, responses of coupled human-natural systems to rapid environmental change, and development of evidence-based solutions. Trainees will research topics such as management of water resources, regional land use, and responses of agricultural systems to changes in economic and climate factors. Trainees will master the skills needed to evaluate how rapid environmental change impacts human and natural systems and to develop and evaluate solutions in public policy, resource management, and environmental design that will mitigate negative effects on human well-being. Trainees will learn to apply these skills examining the integrated dynamics of coupled human-natural systems from local to global scales.

全球环境变化提出了关键的环境和社会需求。这个国家科学基金会研究培训(NRT)奖为加州大学伯克利分校的硕士和博士生准备工具，以推动社会、自然和数据科学的交叉领域的发展。学员将发展数据可视化、信息学、软件开发和科学交流方面的技能。通过以团队为基础的创新问题解决课程，学员将与外部合作伙伴组织合作，以应对全球环境变化中的挑战，其中包括在数据分析和影响和解决方案的解释方面的重大问题。对环境变化问题感兴趣的新一代研究人员和专业人员将接受开放科学新兴实践方面的培训，这将创造完全可重复和协作的分析，记录科学结论的证据及其对政策的影响。这一培训计划将在应对具有国家和全球重要性的重大挑战方面取得进展。该计划的研究主题涉及开放科学和可重复数据分析、耦合的人-自然系统对快速环境变化的反应以及基于证据的解决方案开发的重大挑战。学员将研究水资源管理、区域土地利用以及农业系统对经济和气候因素变化的反应等主题。受训人员将掌握必要的技能，以评估快速的环境变化如何影响人类和自然系统，并制定和评估公共政策、资源管理和环境设计方面的解决方案，以减轻对人类福祉的负面影响。受训者将学会应用这些技能，从局部到全球考察人-自然耦合系统的综合动态。