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

斯坦福 BSSR 数据科学与行为、社会和人口健康研究交叉点的博士前培训项目

• 批准号: 10394719
• 负责人: ABBY C KING
• 金额: $ 30.78万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-04-15 至 2025-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10394719
• 关键词: Behavioral; Data Science; Research; Training Programs; population health; pre-doctoral; social

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.

项目摘要 /摘要 Stanford BSSR在数据科学与与 行为，社会和人口健康研究是为了开发跨校园的协作培训 计划为有才华的博士前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 建立了一个跨越斯坦福大学校园的新团队，其中包括来自6所学校和11个部门的教职员工。我们 将提供一个变革性的多学科前培训环境，从而吸引导师 多元领域（健康与社会心理学，医学社会学，社会流行病学，沟通，健康 经济学，商业，教育，法律）和定量学科（计算机科学，信息学，统计）。 我们课程的毕业生将在自己的科学学科中进行严格的培训，并结合使用 广泛的专业知识从事广泛的创新研究项目，这些项目主要依赖于两个数据 类型：（1）来自MHealth，智能手机和传感器技术的密集或大量纵向数据或 电子健康记录和/或（2）来自互联网，商业，健康管理的大型且复杂的数据 记录，大量数据库，互联网数据和社交媒体平台，人群采购和公民 科学数据。在研究生的第一年或第二年，学员将被接纳 健康心理学，医学社会学，社会/行为流行病学，健康经济学或 另一个社会科学纪律。我们要求每年提供5名博士前学生 培训将持续2年或更长时间。他们将从该计划中脱颖而出，并彻底了解自己的 自己的基本学科与尖端统计和计算的高级专业知识相结合 分析日益复杂和多维纵向集的方法。培训计划 除了计划范围的数据外，组件还将包括部门或纪律特定的培训 科学组成部分包括：（1）创新课程，包括专业定量课程 根据每个学员的经验和背景定制； （2）双重指导的研究经验 导师模型（一位纪律导师，一位方法论导师）； （3）接触团队科学方法 解决问题，包括设计思维，跨学科合作和团队建设； （4） 体验式组件，包括斯坦福干lab旋转的可用性和硅短期实习 山谷公司； （5）知识交流论坛； （6）许多发展专业的机会 赠款写作和协作的技能。 BSSR毕业生将有能力进行尖端 研究行为和社会以及健康问题以及预防和治疗干预措施的研究 有可能减少心脏，肺，血液和睡眠（HLB）疾病的风险并改善预后 在患有这些疾病的患者中。