REU Site: Computational Insights into Infectious Disease Evolution, Ecology and Epidemiology

REU 网站：传染病进化、生态学和流行病学的计算见解

• 批准号: 2349102
• 负责人: Brandon Ogbunugafor
• 金额: $ 27.63万
• 依托单位: Yale University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-03-15 至 2027-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2349102&HistoricalAwards=false
• 关键词: REU; Site; Computational; Insights; into; REU; Site; Computational; Insights; into

This REU Site award to Yale University, located in New Haven, CT, will support the training of 6 students for 10 weeks during the summers of 2024-2026. It is anticipated that 6 formerly incarcerated undergraduate students interested in STEM research and public health will be recruited from community colleges and undergraduate institutions. The research is focused on the evolution, ecology and epidemiology of infectious diseases. Through coursework and research, participants will be introduced to the computational analysis of big data sets. The program will contribute to the national need for a diverse, computationally adept workforce. Students will learn how research is conducted and will present the results of their work at scientific conferences. Assessment of this program will be done through an online tool. Students should apply to the REU site using NSF ETAP (Education and Training Application: https://etap.nsf.gov). This program will fill a need to expand STEM training and computing exposure for students historically disadvantaged in public K-12 education with limited exposure to computing during incarceration. The program will incorporate faculty mentors from various departments at Yale University, including the Department of Ecology and Evolutionary Biology, and the School of Public Health. The structured activities will include basic programming in Python, data analysis, modeling, simulations, and machine learning. The computing skills will be marketable for those seeking employment or graduate education. Each morning, students will participate in a computational methods course to improve their research skills. Each afternoon, they will join a faculty-led research team addressing an aspect of infectious disease. Each REU student will have a graduate student mentor to provide guidance in the research environment. Students with few research opportunities will gain computing skills and experience, become part of a research team, and learn about pathways to advanced degrees. Seminars will provide opportunities to network with other REU students and learn about career paths in public health and basic research. Applicants will be selected based on their math and science grades with a strong interest in computing and data science. More information about the program is available by contacting the PI Brandon Ogbunu ([e-mail]) or the co-PI Jacqueline Tanaka ([e-mail]).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.

耶鲁大学的REU网站奖，位于康涅狄格州纽黑文的耶鲁大学，将在2024 - 2026年的夏季支持6名学生的培训10周。预计将从社区学院和本科机构招募6名对STEM研究和公共卫生感兴趣的本科生。该研究的重点是传染病的进化，生态和流行病学。通过课程和研究，将向参与者介绍大数据集的计算分析。该计划将有助于国家对多样化，计算熟练的劳动力的需求。学生将学习如何进行研究，并将在科学会议上展示他们的工作结果。该程序的评估将通过在线工具进行。学生应使用NSF ETAP（教育和培训申请：https：//etap.nsf.gov）申请REU网站。该计划将满足扩大在公共K-12教育中处于不利地位的学生的STEM培训和计算曝光的需求，在监禁期间对计算的暴露有限。该计划将纳入耶鲁大学各个系的教师导师，包括生态与进化生物学系和公共卫生学院。结构化活动将包括Python中的基本编程，数据分析，建模，模拟和机器学习。对于那些寻求就业或研究生教育的人来说，计算技能将是可以销售的。每天早晨，学生将参加一项计算方法课程，以提高他们的研究技能。每天下午，他们都会加入一个由教师领导的研究小组，以解决传染病的一个方面。每个REU学生将有一位研究生导师，以在研究环境中提供指导。研究机会很少的学生将获得计算技能和经验，成为研究团队的一部分，并了解高级学位的途径。研讨会将提供与其他REU学生建立联系的机会，并了解公共卫生和基础研究中的职业道路。将根据对计算和数据科学感兴趣的数学和科学成绩选择申请人。可以通过与Pi Brandon Ogbunu（[e-mail]）或Co-Pi Jacqueline Tanaka（[e-mail]）联系，可以获得有关该计划的更多信息。这项奖项反映了NSF的法定任务，并通过评估了基金会的智力效果，并被视为支持者的法定任务。