Conference: Ecology and Evolution of Infectious Diseases 2024 Workshop

这一奖项将资助2024年6月22日至24日在斯坦福大学举行的研讨会，同时举行一年一度的传染病生态学与进化会议(EEID)。讲习班将提供与经典地区性流行病学模型、使用贝叶斯推理估计环境反应函数以及使用谷歌地球引擎进行地理空间数据分析有关的尖端量化培训和应用技能。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了解疾病生态学模型如何应用于现实世界的场景。研讨会的特点将是一个动态的时间表，其中穿插着定量和应用培训课程。该研讨会将支持至少40名来自人口统计群体、机构和教育背景的学生在疾病生态学的尖端量化和应用工具方面的科学培训和联网机会。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纽带。学生还将在小教室(每个轨道约30名学生)中接受实践指导，以确保与教师建立联系。几位早期教师将获得教学机会，展示他们在应用背景下的工作，并与学生和博士后奖学金建立他们的网络。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势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.