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: 10627780
• 负责人: ABBY C KING
• 金额: $ 27.5万
• 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/10627780
• 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

项目成果

Evaluation of a city-wide school-located influenza vaccination program in Oakland, California with respect to race and ethnicity: A matched cohort study.

• DOI: 10.1016/j.vaccine.2021.11.073
• 发表时间: 2022-01-21
• 期刊: Vaccine
• 影响因子: 5.5
• 作者: Nguyen AT;Arnold BF;Kennedy CJ;Mishra K;Pokpongkiat NN;Seth A;Djajadi S;Holbrook K;Pan E;Kirley PD;Libby T;Hubbard AE;Reingold A;Colford JM Jr;Benjamin-Chung J
• 通讯作者: Benjamin-Chung J

What is counted counts: An innovative linkage of police, hospital, and spatial data for transportation injury prevention.

重要的是：警察、医院和空间数据的创新联系，用于预防交通伤害。

• DOI: 10.1016/j.jsr.2022.08.002
• 发表时间: 2022
• 期刊: Journal of safety research
• 影响因子: 4.1
• 作者: Soltani,Shamsi;Schwarcz,Leilani;Morris,Devan;Plevin,Rebecca;Dicker,Rochelle;Juillard,Catherine;Nwabuo,Adaobi;Wier,Megan
• 通讯作者: Wier,Megan

Provider and Practice Experience Integrating the Dose-HPV Intervention into Clinical Practice.

• DOI: 10.1097/ceh.0000000000000363
• 发表时间: 2021-07-01
• 期刊: The Journal of continuing education in the health professions
• 作者: Drainoni ML;Biancarelli D;Jansen E;Bernstein J;Joseph N;Eun TJ;Fenton AHTR;Clark JA;Hanchate A;Legler A;Schuch TJ;Leschly K;Perkins RB
• 通讯作者: Perkins RB

Elevated body mass index in modified natural cycle frozen euploid embryo transfers is not associated with live birth rate.

改良自然周期冷冻整倍体胚胎移植中体重指数升高与活产率无关。

• DOI: 10.1007/s10815-023-02787-y
• 发表时间: 2023
• 期刊: Journal of assisted reproduction and genetics
• 影响因子: 3.1
• 作者: Beshar,Isabel;Milki,AminA;Gardner,RebeccaM;Zhang,WendyY;Johal,JasmynK;Bavan,Brindha
• 通讯作者: Bavan,Brindha

City-wide school-located influenza vaccination: A retrospective cohort study.

• DOI: 10.1016/j.vaccine.2021.08.099
• 发表时间: 2021-10-08
• 期刊: Vaccine
• 影响因子: 5.5
• 作者: Benjamin-Chung J;Arnold BF;Mishra K;Kennedy CJ;Nguyen A;Pokpongkiat NN;Djajadi S;Seth A;Klein NP;Hubbard AE;Reingold A;Colford JM Jr
• 通讯作者: Colford JM Jr