Makerere University Data Science Research Training to Strengthen Evidence-Based Health Innovation, Intervention and Policy (MakDARTA)

项目摘要 U2 R：利用数据科学促进非洲健康发现和创新（DS-2015） 国际研究训练奖。拟议的赠款目标 是利用马凯雷雷大学和约翰霍普金斯大学之间现有的伙伴关系，建立一个 联合全面的数据科学研究培训计划，以加强循证健康 乌干达的创新、干预和政策。认识到这样一个事实，即数据科学分析在 医学已经产生了新的知识，这些知识正在推进预测、性能和发现， 培训计划旨在促进健康;（1）建立数据科学研究生学位培训（硕士和博士） （2）提供博士后培训，使乌干达人能够 H3 Africa校友将转变为教师和/或独立的数据科学研究领导者，以及（3）培训 MakCHS教师提高数据科学研究和数据科学指导的能力 实习生该计划将包括更高的学位（硕士和博士）和非学位（教师和博士后）， 博士）培训与量身定制的课程和指导研究培训，使学员具备必要的 数据科学领域成功职业的技能。在学位培训方面，我们的策略是利用 现有的基础设施和培训，并通过从以下方面挑选学员逐步引入数据科学培训： 现有的数据科学相关的硕士和博士课程;同时，我们将扩大拟议的 硕士和博士数据科学课程按照马凯雷雷大学的指导方针，培养 与其他DS-I非洲培训计划PI合作，重点是课程协调和 在国家、区域和国际各级， 认可/认可。随着对Makerere关键基础设施和培训的大量投资， 在过去的10年里，我们相信，数据科学的可持续研究和培训是可行的， 对乌干达的健康研究和护理具有变革性意义。在补助期结束时， 我们预计，由于培训活动，研究能力的提高将包括（ 其他）;产生了重要的新知识（从卫生科学数据科学的数量判断） 出版物、政策简报等），由学员产生的DS-I健康创新，跨学科DS-I研究 团队在Makerere

PROJECT SUMMARY This is an application for the U2R: Harnessing Data Science for Health Discovery and Innovation in Africa (DS- I Africa) Research Training Program Fogarty International Research training award. The proposed grant’s goal is to leverage on the existing partnership between Makerere University and Johns Hopkins University to build a joint comprehensive Data Science Research Training program to Strengthen Evidence-Based Health Innovation, Intervention and Policy in Uganda. Cognizant of the fact that, the use of data science analytics in medicine is already generating new knowledge that is advancing prediction, performance and discovery in health, the training program aims to; (1) Establish graduate degree training (Master’s and PhD) in data science for graduating health-professionals at MakCHS, (2) Provide Postdoctoral training that will enable Ugandan H3Africa alumni to transition into faculty and/or independent data science research leaders and, (3) Train MakCHS faculty to enhance their capabilities for data science research and mentorship of data science trainees. The program will comprise of higher degree (Master’s and PhD) and non-degree (Faculty and Post- doctoral) training with tailored coursework and mentored research training to equip trainees with the requisite skillset for successful careers in data science. For degree training, our strategy will be to take advantage of the existing infrastructure and trainings and gradually introduce data science training by selecting trainees from existing data science relevant Master’s and Doctoral programs; at the same time, we will expand the proposed Master’s and Doctoral data science curriculum in accordance with Makerere University guidelines, foster collaborations with other DS-I Africa Training Program PIs with focus on curriculum harmonization and mapping of the same on core competencies, and seek national, regional and international accreditation/endorsement. With significant investment in key infrastructure and training at Makerere over the last 10 years, we believe that sustainable research and training in data science for health is feasible and could be transformative for Uganda’s health research and care. At the end of the grant period, measurable parameters of increased research capacity we expect as a result of the training activities shall include (among others); significant new knowledge generated (as judged from the number of data science for health scientific publications, policy briefs, etc.), DS-I health innovations generated by trainees, interdisciplinary DS-I research teams at Makerere.