NRT-DESE: Interdisciplinary Disease Ecology Across Scales: from Byte to Benchtop to Biosphere

跨尺度的跨学科疾病生态学：从字节跳动到台面到生物圈传染病是对人类健康、动物健康和社会稳定的持续威胁。这个国家科学基金会研究培训(NRT)项目为佐治亚大学的博士生提供数据支持的科学和工程培训，以解决与疾病和环境有关的复杂的跨学科问题。要有效地预测新的感染源下一步将去哪里，它们将以多快的速度传播，以及人类或其他物种可能受到多大程度的影响，需要了解宿主和病原体如何在生物组织的不同尺度(例如细胞、生物体、种群)相互作用的基本知识，以及识别在一个尺度上发生的过程如何响应或影响在相邻尺度上发生的过程的能力。这项培训计划准备三十(30)名博士生，其中包括二十(20)名资助的实习生，掌握当代传染病问题的经验和计算方面的知识。与该计划相关的研究活动集中在三个对揭示自然界宿主-病原体相互作用的复杂性至关重要的专题领域：共感染和病原体相互作用；环境变化和疾病动态；以及临界点和早期预警信号。来自13个学术单位的教师将共同指导学生的研究，他们拥有从单个细胞到整个生态系统的经验专业知识，以及统计建模、数学建模、随机过程、自适应动力学、机器学习和地理制图方面的定量专业知识。这一培训将使用跨学科案例研究教学、计算机建模高级技术的教学以及在非学术和国际组织的实习，为学生提供解决当今最紧迫的传染病问题所需的概念背景、计算技能和全球视角。此外，包括顶峰体验、数据诊所、实习、出国留学和沟通培训在内的一系列专业发展活动将为学生提供在学术和非学术环境中将基本知识转化为现实世界问题的技能。NSF研究培训(NRT)计划旨在鼓励开发和实施大胆的、新的、潜在的变革性和可扩展的STEM研究生教育培训模式。培训路径致力于通过创新的、基于证据的、与不断变化的劳动力和研究需求保持一致的综合培训模式，在高度优先的跨学科研究领域对STEM研究生进行有效培训。

NRT-DESE: Interdisciplinary Disease Ecology Across Scales: from Byte to Benchtop to BiosphereInfectious diseases are an ongoing threat to human health, animal health, and social stability. This National Science Foundation Research Traineeship (NRT) project prepares doctoral students at the University of Georgia with data-enabled science and engineering training to solve complex, interdisciplinary problems related to diseases and the environment. Effectively predicting where new infectious agents will go next, how fast they will spread, and how severely humans or other species may be impacted requires a basic knowledge of how hosts and pathogens interact at different scales of biological organization (e.g., cell, organism, population), as well as the ability to identify how processes taking place at one scale respond to or affect processes occurring at adjacent scales. This traineeship anticipates preparing thirty (30) doctoral students, including twenty (20) funded trainees, with mastery of both empirical and computational dimensions of contemporary infectious disease problems. Research activities associated with the program focus on three topical areas critical to unraveling the complexity of host-pathogen interactions in nature: co-infection and pathogen interactions; environmental change and disease dynamics; and tipping points and early warning signals. Faculty from thirteen academic units with empirical expertise spanning single cells to whole ecosystems, and quantitative expertise in statistical modeling, mathematical modeling, stochastic processes, adaptive dynamics, machine learning, and geographic mapping will co-mentor student research. This traineeship will use interdisciplinary case study-based teaching, instruction in advanced techniques for computer modeling, and internships at non-academic and international organizations to provide students with the conceptual background, computational skills, and global perspective needed to tackle the most pressing infectious disease problems of our time. In addition, a range of professional development activities including a capstone experience, data clinics, internships, study abroad, and communication training will provide students with the skills to transfer basic knowledge to real world problems in both academic and non-academic settings. The NSF Research Traineeship (NRT) Program is designed to encourage the development and implementation of bold, new, potentially transformative, and scalable models for STEM graduate education training. The Traineeship Track is dedicated to effective training of STEM graduate students in high priority interdisciplinary research areas, through the comprehensive traineeship model that is innovative, evidence-based, and aligned with changing workforce and research needs.