NYU-Moi Data Science for Social Determinants Training Program

项目摘要 纽约大学莫伊大学社会决定因素数据科学（DSSD）的总体目标 布朗大学将培养未来的数据科学领导者，他们有能力开发和分析数据。 更好地利用深入和丰富的调查以及互联网和其他数字化数据源， 收集关于健康的社会决定因素的信息。DSSD的设计将迅速扩大本地基础， 通过课程开发的专业知识，导致2博士（4年的培训）和6总博士后（2年）， 教师学员（12-14个月）将在纽约大学培训，而8名硕士和2名博士学员将开始或完成 通过莫伊大学新开发的数据科学轨道进行培训（分别为2年和4年培训）。 与当地数据科学行业和组织（IBM，深度学习Indaba，DataKind， AI.肯尼亚和阿加汗大学（内罗毕和卡拉奇）将为下列人员引进和创造知识会议空间： 来自数据科学和健康背景的广泛人才库和各种各样的有才华的学员，以推动和 可持续地提高肯尼亚机构以及DSI联盟的数据科学能力。

Project Summary The overarching goal of the Data Science for Social Determinants (DSSD) at New York University, Moi University and Brown University is to develop future leaders in data science who are equipped to develop and analyze data to better leverage deep and rich survey as well as internet and other digitized data sources that can help us capture information on the social determinants of health. DSSD's design will rapidly expand the local base of expertise via curriculum development, resulting in 2 PhD (4-year training) and 6 total postdoctoral (2-year) and faculty trainees (12-14 month) will train at NYU, while 8 Masters and 2 PhD trainees will commence or complete training (2-year and 4-year training, respectively) through newly developed data science tracks at Moi University. Connecting with local data science industries and organizations (IBM, Deep Learning Indaba, DataKind, AI.Kenya and Aga Khan University Nairobi and Karachi) will bring in and create intellectual meeting spaces for a wide pool and variety of talented trainees from both data science and health backgrounds, to propel and sustainably advance data science capacity in Kenyan institutions as well as the DSI-consortium.