Stanford BSSR Pre-Doctoral Training Program at the Intersection of Data Sciences with Behavioral, Social, and Population Health Research

项目摘要/摘要 斯坦福大学BSSR博士前培训项目的任务是将数据科学与 行为、社会和人口健康研究是开发跨校园协作培训的基础 计划为有才华的博士后学生提供高级专业培训 社会和行为健康科学、社会流行病学、数据科学和人口健康。我们是 建立一个横跨斯坦福校园的新团队，包括来自6所学校和11个系的教职员工。我们 将提供一个变革性的多学科博士前培训环境，吸引来自 不同领域(健康和社会心理学、医学社会学、社会流行病学、传播学、健康 经济学、商学、教育学、法学)和定量学科(计算机科学、信息学、统计学)。 我们项目的毕业生将在各自的科学学科中接受严格的培训，并与 在广泛的创新研究项目中工作的广泛专业知识，这些项目主要依赖于两个数据 类型：(1)来自移动健康、智能手机和传感器技术的密集或海量纵向数据，或 电子健康记录，和/或(2)来自互联网、商业、卫生行政部门的大量复杂数据 记录、大型人口数据库、互联网数据和社交媒体平台、众包和公民 科学数据。研究生第一年或第二年的博士前实习生将从 健康心理学、医学社会学、社会/行为流行病学、健康经济学或 另一门社会科学学科。我们要求每年资助5名博士前学生，他们 培训将持续2年或更长时间。他们将从项目中脱颖而出，对他们的 自己的基础学科与尖端统计和计算方面的先进专业知识相结合 分析日益复杂和多维的纵向集合的方法。培训计划 除计划范围的数据外，组件还将包括部门或学科特定的培训 科学部分包括：(1)创新课程，包括专业量化课程 根据每个受训人员的经验和背景进行定制；(2)具有双重指导的研究经验 导师模式(一个学科导师，一个方法论导师)；(3)接触团队科学方法 解决问题，包括设计思维、跨学科协作和团队建设；(4) 体验部分，包括斯坦福干实验室轮换和在硅谷的短期实习机会 硅谷公司；(5)智力交流的论坛；(6)许多发展专业人才的机会 具备撰写奖助金和合作的技能。BSSR毕业生将有能力指挥尖端 关于行为、社会和健康问题的研究，以及预防和治疗干预措施 有可能降低心肺、血液和睡眠(HLBS)紊乱的风险并改善预后 在患有这些疾病的患者中。

Project Summary / Abstract The mission of the Stanford BSSR Pre-Doctoral Training Program at the Intersection of Data Sciences with Behavioral, Social, and Population Health Research is to develop a cross-campus collaborative training program to provide talented pre-doctoral students with advanced specialized training at the intersections of social and behavioral health science, social epidemiology, data science, and population health. We are building a new team that spans the Stanford campus including faculty from 6 schools and 11 departments. We will provide a transformative multi-disciplinary predoctoral training environment that draws mentors from diverse fields (health and social psychology, medical sociology, social epidemiology, communications, health economics, business, education, law) and quantitative disciplines (computer science, informatics, statistics). The graduates of our program will have rigorous training in their own scientific disciplines, combined with extensive expertise working on a broad range of innovative research projects that rely on data of primarily two types: (1) intensive or voluminous longitudinal data from mHealth, smartphone and sensor technologies or electronic health records, and/or (2) large and complex data from internet, commercial, health administrative records, large population databases, internet data and social media platforms, crowd sourcing, and citizen science data. Predoctoral trainees in their first or second year of graduate studies will be admitted from programs in health psychology, medical sociology, social/behavioral epidemiology, health economics or another social science discipline. We are requesting support for 5 pre-doctoral students per year whose training will last 2 or more years. They will emerge from the program with a thorough understanding of their own fundamental discipline combined with advanced expertise in cutting-edge statistical and computational methods for analyzing increasingly complex and multidimensional longitudinal sets. The training program components will include both department or discipline-specific training in addition to program-wide data science components including: (1) innovative curriculum, including specialized quantitative curriculum customized to the experience and background of each trainee; (2) a mentored research experience with a dual mentor model (one disciplinary mentor, one methodological mentor); (3) exposure to team science approaches to problem solving, including design thinking, cross-disciplinary collaborations, and team building; (4) experiential components, including availability of Stanford dry-lab rotations and short-term internships in Silicon Valley companies; (5) forums for intellectual exchanges; and (6) many opportunities to develop professional skills in grant writing and collaboration. BSSR graduates will have the capability to conduct cutting edge research on behavioral and social, and health issues, as well as prevention and treatment interventions that have the potential to reduce the risks of heart, lung, blood, and sleep (HLBS) disorders and improve outcomes among patients with these disorders.