Research Training on Harnessing Data Science for Global Health Priorities in Africa

项目总结/摘要 培训计划，“利用数据科学促进全球健康的研究培训” 非洲的优先事项”将建立在现有的数据科学研究能力的基础上， 机构，以提高创新的新的数据科学研究能力。哈佛大学将 领导与海德堡大学的培训合作，以支持海德堡大学 夸祖鲁-纳塔尔（UKZN）作为一个中心，在撒哈拉以南非洲国家有四个发言伙伴， 即加纳、尼日利亚、坦桑尼亚和乌干达。该计划汇集了多学科 在数据科学方法方面具有丰富经验的研究人员和专家团队， 确定为全球卫生优先事项的选定领域：㈠加强卫生系统， (ii)粮食系统、气候变化和地球健康。该计划将推进数据培训 科学和杠杆方法培训，以解决这两项研究中的政策相关问题 域.研究培训计划的结构将提供适当的平衡， 为来自南非的学员提供短期、中期和长期培训机会， 非洲国家，即加纳、尼日利亚、坦桑尼亚和乌干达。的 该培训计划的长期目标是培养和灌输高级数据技能研究人员 通过严格的课程和一系列培训和研究， 旨在满足非洲国家健康需求的活动。为了支持长期目标， 该计划有以下三个具体目标：目标1：培养中级和高级研究人员， UKZN将作为教育工作者和主要研究者领导独立的研究项目 专注于利用数据科学解决国家，区域， 目标2：建立足够数量的初级公共卫生和医疗专业人员 在南非和非洲其他四个国家的ARISE网络（加纳，尼日利亚 坦桑尼亚和乌干达），能够设计并成功开展严格的健康研究 使用数据科学的项目;目标3：开发和建立可持续的硕士学位课程 在卫生数据科学在UKZN服务的研究培训需求在南非和 非洲区域。该计划将培养和支持17个硕士学位的学生， 博士后学生通过2年奖学金，使用数据科学课程和培训 该计划是（一）能力为基础，（二）掌握为导向，（三）应用为重点，（四） 数字化增强课程将辅以密集的个人辅导 由一个监督小组提供，并提供实习的实际培训机会， capstone项目和学术研究项目。该计划将提供短期课程 向350名专业人员和研究人员提供指导，其中50人将完成一系列的四个 课程并获得健康数据科学创新的拟议研究生证书。通过 每月的研讨会和年度研讨会，将有数百个项目参加 参与者，该计划将建立一个强大的社区，专注于数据科学及其 应用于全球健康。该计划将整合的程序工作与DS-I 非洲开放数据科学平台和协调中心在数据共享和利用方面的作用 资源，数据科学技术和资源，以影响整个非洲的健康成果。

Project Summary/Abstract The training program, “Research Training on Harnessing Data Science for Global Health Priorities in Africa” will build upon existing data science research capacity at the partnering institutions to enhance innovative new data science research capacity. Harvard University will lead the training collaboration with Heidelberg University in support of the University of KwaZulu-Natal (UKZN) as a hub with four spoke partners in sub-Saharan African countries, namely Ghana, Nigeria, Tanzania, and Uganda. This Program brings together a multidisciplinary team of researchers and expert faculty with in-depth experience in data science methods and two selected domain fields identified as global health priorities: (i) health systems strengthening, and (ii) food systems, climate change and planetary health. The program will advance training in data science and leverage methods training to address policy-relevant questions in these two research domains. The research training program will be structured to provide an appropriate balance of short, medium, and long-term training opportunities for participants from South Africa and 4 countries in Africa in the ARISE Network, namely Ghana, Nigeria, Tanzania, and Uganda. The long-term goal of this training program is to develop and instill advanced data skilled researchers in health data science in Africa through a rigorous curriculum and set of training and research activities designed to address the health needs of African countries. To support the long-term goal, the program has the following 3 specific aims: Aim 1: Train mid-level and senior researchers at UKZN to work as educators and principal investigators leading independent research programs focused on using data science to address important global health challenges of national, regional, and global relevance; Aim 2: Build a critical mass of junior public health and medical professionals across South Africa and four other countries in Africa in the ARISE Network (Ghana, Nigeria Tanzania and Uganda) who can design and successfully carry out rigorous health research projects using data science; Aim 3: Develop and institute a sustainable master’s degree program in health data science at the UKZN to serve the research training needs in South Africa and the African region. The program will train and support 17 master’s degree students, and 5 postdoctoral students through 2-year fellowships, using a data science curriculum and training program that is (i) competency-based, (ii) mastery-oriented, (iii) application-focused, and (iv) digitally-enhanced. The curriculum will be complemented by intensive, individual mentoring provided by a supervisory team, as well as by opportunities for practical training in internships, capstone projects, and academic research projects. The program will provide short course instructions to 350 professionals and researchers, of whom 50 will complete a series of four courses and obtain a proposed graduate certificate in health data science innovation. Through monthly seminars and annual symposia that will be attended by hundreds of program participants, the program will build a robust community focused on data science and its applications to global health. The program will integrate the programmatic work with the DS-I Africa Open Data Science Platform and Coordinating Center in the sharing and leveraging of data resources, data science technologies and resources to impact health outcomes across Africa.