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

NRT-DESE：跨尺度的跨学科疾病生态学：从字节到工作台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。要有效预测新的传染因子下一步将去哪里、传播速度有多快以及人类或其他物种可能受到的影响有多严重，需要了解宿主和病原体在不同生物组织尺度（如细胞、生物体、种群）上如何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相邻尺度上发生的过程的能力。该培训项目预计将培养30名博士生，其中包括20名受资助的博士生，掌握当代传染病问题的经验和计算维度。与该计划相关的研究活动集中在三个主题领域，这些领域对揭示宿主-病原体相互作用的复杂性至关重要：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个学术单位的教师拥有从单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，他们将共同指导学生的研究。这种实习将采用跨学科的案例研究为基础的教学，指导先进的计算机建模技术，并在非学术和国际组织实习，为学生提供概念背景，计算技能和全球视角需要解决我们这个时代最紧迫的传染病问题。此外，一系列专业发展活动，包括顶点体验、数据诊所、实习、出国留学和沟通培训，将为学生提供将基本知识转化为学术和非学术环境中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、具有潜在变革性和可扩展的STEM研究生教育培训模式。通过创新、循证、适应不断变化的劳动力和研究需求的综合培训模式，培训项目致力于在高优先级跨学科研究领域对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.