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：从字节到台式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）项目为格鲁吉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相关的复杂的跨学科问题。有效地预测新的传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的影响有多严重，需要对宿主和病原体如何在不同尺度的生物组织中相互作用（例如，细胞、有机体、种群），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。这个实习预计准备三十（30）名博士生，包括二十（20）资助的学员，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，这些领域对于揭示自然界中宿主-病原体相互作用的复杂性至关重要：共同感染和病原体相互作用;环境变化和疾病动态;临界点和预警信号。来自13个学术单位的教师，他们的经验专业知识涵盖单个细胞到整个生态系统，以及统计建模，数学建模，随机过程，自适应动力学，机器学习和地理测绘方面的定量专业知识将共同指导学生的研究。该培训将使用跨学科的案例研究为基础的教学，在计算机建模的先进技术的指令，并在非学术和国际组织实习，为学生提供的概念背景，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，包括顶点经验，数据诊所，实习，出国留学和沟通培训将为学生提供技能，将基本知识转移到学术和非学术环境中的真实的世界问题。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研究生教育培训模型。 见习轨道致力于通过创新、基于证据并与不断变化的劳动力和研究需求保持一致的综合见习模式，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.