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

麦克雷雷大学数据科学研究培训，以加强循证健康创新、干预和政策（MakDARTA）

• 批准号: 10320267
• 负责人: William Checkley
• 金额: $ 35万
• 依托单位: MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES
• 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/10320267
• 关键词: Accreditation; Africa; Award; Caring; Collaborations; Competence; Data Science; Doctor of Philosophy; Educational Curriculum; Faculty; Fostering; Goals; Graduate Degree; Grant; Guidelines; Health; Health Sciences; International; Intervention; Investments; Joints; Knowledge; Measurable; Medicine; Mentors; Mentorship; Performance; Policies; Publications; Research; Research Training; Time; Training; Training Activity; Training Programs; Training and Infrastructure; Uganda; Universities; career; evidence base; health training; innovation; post-doctoral training; programs

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.

项目摘要 这是U2R：利用数据科学的健康发现和创新的应用程序（DS- 非洲）研究培训计划Fogarty国际研究培训奖。提议的赠款的目标 要利用马克雷雷大学和约翰·霍普金斯大学之间的现有合作伙伴关系来建立 联合综合数据科学研究培训计划，以增强循证健康 乌干达的创新，干预和政策。意识到，数据科学分析在 医学已经在产生了正在推进预测，绩效和发现的新知识 健康，培训计划的目标是（1）在数据科学中建立研究生学位培训（硕士和博士学位） （2）为麦克奇的卫生专业人士毕业，提供博士后培训，以使乌干达能够 H3africa校友过渡到教师和/或独立数据科学研究领导者，（3）火车 Makchs的教师增强了他们在数据科学研究和数据科学指导方面的能力 学员。该计划将完成更高学位（硕士和博士学位）和非学位（教职 博士）培训量身定制的课程和指导的研究培训，为受训者提供必要的培训 数据科学成功职业的技能。对于学位培训，我们的策略将是利用 现有的基础设施和培训，并通过从中选择培训来逐渐引入数据科学培训 现有的数据科学相关硕士和博士课程；同时，我们将扩大提议的 硕士和博士数据科学课程符合Makerere大学指南，福斯特 与其他DS-I非洲培训计划PI的合作，重点是课程协调和 在核心能力上绘制相同的映射，并寻求国家，地区和国际 认证/认可。在Makerere的主要基础设施和培训上进行大量投资 最近10年，我们认为，健康数据科学的可持续研究和培训是可行的，可以 对乌干达的健康研究和护理进行变革。在赠款期结束时，可衡量 由于培训活动，我们期望提高研究能力的参数应包括 其他的）;产生了重要的新知识（根据健康科学数据科学的数量来判断 出版物，政策摘要等），由学员产生的DS-I健康创新，跨学科DS-I研究 Makerere的团队。