Research Training in Data Science for Health in Rwanda

卢旺达健康数据科学研究培训

• 批准号: 10320162
• 负责人: Victor G. Davila-Roman
• 金额: $ 35万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-22 至 2026-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10320162
• 关键词: Address; Africa; African; Applications Grants; Area; Bioinformatics; COVID-19; Chronic; Communicable Diseases; Competence; Coupled; Data Science; Data Scientist; Development; Diabetes Mellitus; Dissemination and Implementation; Doctor of Philosophy; Educational Curriculum; Environmental Exposure; Epidemic; Epidemiology; Faculty; Feedback; Fostering; Funding; Government; Grant; HIV; Health Sciences; Healthcare; Heart Diseases; High Prevalence; Hypertension; Individual; Informatics; Institutes; Institution; Leadership; Malaria; Manuscripts; Mathematics; Mentors; Modeling; Outcome; Positioning Attribute; Postdoctoral Fellow; Program Evaluation; Program Sustainability; Public Health; Research; Research Project Grants; Research Training; Rwanda; Science; Signal Recognition Particle; Structure; Training; Training Programs; Universities; Washington; Writing; base; career; career development; computer science; data hub; data management; design; health science research; innovation; institutional capacity; mathematical sciences; multidisciplinary; next generation; programs; skills training; statistics; webinar

PROJECT SUMMARY/ABSTRACT U2R Research Training Program (RTP) grant application for DS-I Africa initiative (RFA-RM-20-016) is a partnership of 3 collaborating institutions: Washington University in St. Louis (WUSTL), University of Rwanda (UR) and African Institute for Mathematical Sciences (AIMS), both in Kigali, Rwanda. The overarching objective of U2R RTP is to stimulate and catalyze innovation of Data Science (DS) for Health in Rwanda. A high prevalence of communicable diseases, coupled with a rapidly expanding epidemic of non-communicable diseases (NCDs), forecasts a perfect public health storm in Rwanda, providing impetus and rationale to leverage DS to address health care gaps. A structured program design will help develop trainee research careers in DS with particular focus on health care topics relevant to Rwanda, including communicable (i.e., HIV, malaria, COVID-19, etc) and chronic NCDs (i.e., hypertension, heart disease, diabetes, etc). We propose to expand existing model curriculum for innovative and interdisciplinary DS for Health research training and practice by identifying additional competencies in three major scientific areas: 1) computer science & informatics; 2) statistics & mathematics; and 3) biomedical sciences & public health. U2R RTP will: a) provide support (tuition, stipend, research funds) for 24 trainees: MS (n=14), PhD (n=6); post-doc (n=2); junior faculty (n=2); each trainee receives training for 1-2 years based on individual needs; b) foster an innovative team science transdisciplinary approach to research; and c) build institutional capacity at UR and AIMS to support the long- term sustainability of the program. The intended outcomes are to: 1) train next generation of data scientists that will have the necessary expertise to solve challenging problems presented by the burden of communicable and chronic NCDs in Rwanda; and 2) complete a full U2R program leadership and faculty and institutional transition from US-Rwanda co-led to fully Rwandan-led by the end of the U2R program. Trainees will participate in mandatory week long “boot camps” (twice/yr), monthly webinars and mid-yr mtg with didactic training focused on career advice, research and academic advancement in highly-relevant Data Science and health care topics (i.e., data management, bioinformatics, statistics, epidemiology, communicable diseases, NCDs, environmental exposure, dissemination and implementation, etc); intense Grant & Manuscript Writing Skills Training Program geared towards development of competitive grant proposals (“Small Research Projects, SRP)” that trainees prepare, submit and conduct under direction of a multidisciplinary mentoring team from academic and governmental institutions. Effective mentoring during boot camp occurs through trainee “Group Brainstorming Sessions” where they present their developing SRPs to obtain feedback. An extensive program evaluation by trainees and faculty will also provide feedback for improvement. The U2R RTP will establish and cultivate a sustainable program for training, research, mentoring and career development that will position UR and AIMS as national and regional African leaders and a global hub for Data Science for Health in Rwanda.

项目概要/摘要 DS-I 非洲倡议的 U2R 研究培训计划 (RTP) 拨款申请 (RFA-RM-20-016) 是一项 3 个合作机构的伙伴关系：圣路易斯华盛顿大学 (WUSTL)、卢旺达大学 （UR）和非洲数学科学研究所（AIMS），均位于卢旺达基加利。总体目标 U2R RTP 的目的是刺激和促进卢旺达健康数据科学 (DS) 的创新。一个高 传染病流行，加上非传染性疾病流行迅速蔓延 疾病（非传染性疾病），预测卢旺达将出现一场完美的公共卫生风暴，为利用这些疾病提供了动力和理由 DS 旨在解决医疗保健缺口。结构化的项目设计将有助于发展受训者的研究生涯 DS 特别关注与卢旺达相关的卫生保健主题，包括传染病（即艾滋病毒、 疟疾、COVID-19 等）和慢性非传染性疾病（即高血压、心脏病、糖尿病等）。我们建议 扩展现有的创新和跨学科 DS 健康研究培训和实践模型课程 通过确定三个主要科学领域的额外能力：1）计算机科学和信息学； 2） 统计与数学； 3）生物医学科学与公共卫生。 U2R RTP 将： a) 提供支持 24名学员（学费、津贴、研究经费）：硕士（n=14）、博士（n=6）；博士后（n=2）；初级教师（n=2）； 每位学员根据个人需要接受1-2年的培训； b) 培养创新的科学团队 跨学科的研究方法； c) 建立 UR 和 AIMS 的机构能力，以支持长期 项目的长期可持续性。预期成果是：1）培训下一代数据科学家 将拥有必要的专业知识来解决传染性疾病负担带来的挑战性问题 和卢旺达的慢性非传染性疾病； 2) 完成完整的 U2R 项目领导力、师资和机构 U2R 计划结束后，从美国和卢旺达共同主导过渡到完全由卢旺达主导。学员将参加 在为期一周的强制性“新兵训练营”（每年两次）、每月网络研讨会和以教学培训为重点的年中中期目标中 关于高度相关的数据科学和医疗保健主题的职业建议、研究和学术进步 （即数据管理、生物信息学、统计学、流行病学、传染病、非传染性疾病、环境 曝光、传播和实施等）；密集的资助和手稿写作技巧培训 旨在制定竞争性资助提案（“小型研究项目，SRP”）的计划 受训者在来自学术界和学术界的多学科指导团队的指导下准备、提交和进行 政府机构。新兵训练营期间的有效指导是通过学员“小组头脑风暴”进行的 会议”，他们展示正在制定的 SRP 以获得反馈。由 学员和教师还将提供改进反馈。 U2R RTP 将建立并培养 培训、研究、指导和职业发展的可持续计划将为 UR 和 AIMS 定位 作为非洲国家和地区的领导者以及卢旺达健康数据科学的全球中心。