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 为了更好地利用深度和丰富的调查以及互联网和其他数字化数据来源，这可以帮助我们 获取有关健康的社会决定因素的信息。DSSD的设计将迅速扩大当地的基础 通过课程开发获得专业知识，从而获得2个博士学位(4年培训)和6个博士后总数(2年)和 学院实习生(12-14个月)将在纽约大学接受培训，而8名硕士和2名博士生将开始或完成培训 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)。 与当地数据科学行业和组织(IBM、Deep Learning Indaba、DataKind、 AI.肯尼亚和Aga Khan大学(内罗毕和卡拉奇)将引入并创造智力会议空间 来自数据科学和健康背景的各种有才华的实习生，以推动和 可持续地提高肯尼亚各机构以及统计司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.