Conference: Ecology and Evolution of Infectious Diseases 2024 Workshop

该奖项将于2024年6月22日至24日在斯坦福大学资助一个研讨会，同时举办年度传染病生态学和进化（EEID）会议。研讨会将提供与经典分区流行病学模型、使用贝叶斯推理估计环境响应函数以及使用谷歌地球引擎进行地理空间数据分析相关的尖端定量培训和应用技能。学生将从具有公共卫生和非营利部门工作经验的从业者那里学习如何将疾病生态学模型应用于现实世界。讲习班将以动态时间表为特色，穿插定量和应用培训课程。本次研讨会将为来自不同人口群体、机构和教育背景的至少40名学生提供科学培训和交流机会，帮助他们掌握疾病生态学的前沿定量和应用工具。以项目为基础的教学将鼓励学生在学生之间建立合作，这将有助于形成持久的联系。学生还将在小教室（每班约30名学生）接受动手指导，以确保有机会与教师建立联系。几位早期职业导师将获得教学机会，在应用环境中展示他们的工作，并与学生和博士后学者建立联系。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This award will fund a workshop at Stanford University June 22-24, 2024, in conjunction with the annual Ecology and Evolution of Infectious Diseases (EEID) conference. The workshop will offer a mix of cutting-edge quantitative training and applied skills related to classic compartmental epidemiological models, estimating environmental response functions using Bayesian inference, and geospatial data analysis using Google Earth Engine. Students will learn how disease ecology models are applied in real-world scenarios from practitioners with experience working in public health and nonprofit sectors. The workshop will feature a dynamic schedule that intersperses quantitative and applied training sessions. This workshop will support scientific training and networking opportunities for at least 40 students from across demographic groups, institutions, and educational backgrounds in cutting edge quantitative and applied tools in disease ecology. The project-based instruction will encourage students to build collaborations among students that will help to form lasting bonds. Students will also receive hand-on instruction in small classrooms (~30 students per track) to ensure networking opportunities with the instructors. Several early-career instructors will receive teaching opportunities to showcase their work in an applied context and to build up their networks with students and post-doctoral scholars.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.