WEST AFRICAN SUSTAINABLE LEADERSHIP AND INNOVATION TRAINING IN BIOINFORMATICS RESEARCH (WASLITBRe)

西非可持续领导力和创新培训 生物信息学研究(WASLITBRe) 培训计划摘要。很明显，美国国立卫生研究院大胆地刺激了 并正在支持非洲人类健康和遗传方面的研究，这一研究得到了进一步的加强 拥有信息学工具开发和生物信息学短期培训。然而， 如果这些努力不针对非洲，这些倡议的长期可持续性仍然值得怀疑 大学发展创新、面向未来的数据科学学术教育 永续保持在数据科学领域的科研领先地位。因此，我们在此提议 开展西非生物信息学可持续领导和创新培训 支持H3非洲财团的研究(WASLITBRe)。拟议的WASLITBRe是一个 尼日利亚圣约人大学(CU)、巴马科大学(UB)、 马里大学和加纳大学/克努斯特大学。该计划将有两个轨道-培训领导 授予硕士/博士、初级教师(博士后)奖学金，以及网络和 高级生物信息学和数据科学研究方面的导师培训。参加培训的学员 硕士/博士学位将从具有不同背景的毕业生中选出(临床医生， 信息科学、计算机科学、数学、数据科学、统计学/生物统计学、 生物学、物理学和工程学)，初级教员奖学金将从 具有不到5年研究经验的积极进取心强的毕业生完成博士培训。这个 两个轨道的统一主题是学员必须表达并表现出对 生物信息学和数据科学研究。我们的长期目标是建立一个可持续发展的网络 在高级生物信息学和数据的各个方面接受过良好培训的个人 科学研究，准备在学术、医疗保健和研究方面担任领导角色 西非的机构。

West African Sustainable Leadership and Innovation Training in Bioinformatics Research (WASLITBRe) Training Program Summary. It is evidently clear that NIH has audaciously stimulated and is supporting research in human health and heredity in Africa, which is further, enhanced with informatics tools development and short-term training in bioinformatics. However, the long-term sustainability of the initiatives remain a doubt if effort is not directed to African Universities to develop innovative, future-looking- oriented data science academic education to perpetuity maintain the scientific research leadership in data science. We therefore proposed here to develop a West African Sustainable Leadership and Innovation Training in Bioinformatics Research (WASLITBRe) to support the H3Africa consortium. The proposed WASLITBRe is a collaborative program between Covenant University (CU), Nigeria, University of Bamako (UB), Mali and the University of Ghana/KNUST. The program will have two tracks - a training leading to award of MSc./ PhD, junior faculty (post doctorate) fellowships, and networking and mentorship training in advanced bioinformatics and data science research. Trainees for the MSc/PhD will be selected from pool of graduates with diverse background (clinician, information Science, computer science, mathematics, data Science, statistics/biostatistics, biology, physics and engineering), junior faculty fellowship will be selected from a pool of highly motivated graduates with less than 5 years of research experience post PhD training. The unifying theme of both tracks is that trainee must express and demonstrate interest in bioinformatics and data science research. Our long-term goal is to produce a sustainable network of individuals who are well trained in various aspects of advanced bioinformatics and data science research, ready to assume leadership roles at academic, health care and research institutions in West Africa.