LA’s Biostatistics and Data Science Training Program (LA’s BeST)

洛杉矶生物统计学和数据科学培训计划 (LAâs BeST)

• 批准号: 10590701
• 负责人: Juan Pablo Lewinger
• 金额: $ 25.07万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2027-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10590701
• 关键词: Acute; Address; Alaska; Alaskan; American Indians; Artificial Intelligence; Automobile Driving; Bachelor' s Degree; Big Data; Biomedical Research; Biometry; Black race; California; Chronic; Clinical; Clinical Trials; Collaborations; Computers; Computing Methodologies; Conscious; Data; Data Science; Data Scientist; Development; Diagnostic; Discipline; Diverse Workforce; Education; Educational Curriculum; Educational Status; Educational process of instructing; Educational workshop; Electronic Health Record; Employment; Enrollment; Epidemiologic Methods; Epidemiology; Faculty; Family; Female; Funding; Generations; Genetic; Genomics; Goals; Growth; Health; Heart Diseases; Historically Black Colleges and Universities; Individual; Interdisciplinary Study; Interview; Japanese American; Latino; Latinx; Leadership; Learning; Life; Location; Lung diseases; Machine Learning; Mentors; Mentorship; Monitor; National Heart, Lung, and Blood Institute; National Institute of Environmental Health Sciences; Oral; Play; Population; Population Heterogeneity; Positioning Attribute; Prevention; Preventive Medicine; Research; Research Design; Research Project Grants; Role; Schools; Scientist; Statistical Methods; Students; System; Talents; Time; Training; Training Programs; Underrepresented Populations; Underrepresented Students; United States National Institutes of Health; Universities; Woman; Writing; built environment; career; college; ethnic diversity; faculty mentor; follow-up; graduate school preparation; graduate student; hands on research; health data; health determinants; health disparity; holistic approach; interdisciplinary approach; job market; lectures; medical specialties; mindfulness; multidisciplinary; novel; postgraduate education; professional atmosphere; programs; prospective; recruit; sensor; skills; statistics; student mentoring; success; summer research; unconscious bias; undergraduate student; working group

ABSTRACT Health disparities in our nation are acute, increasing, and known to be caused by many factors. A multi- faceted approach by multi-disciplinary teams of scientists is needed to properly tackle this chronic and growing problem. Increasing the diversity of biomedical research scientists is one key strategy to address this crisis. With the current deluge of health-related data and a projected 34% growth in the job market for statisticians from 2019 to 2029 (Bureau of Labor Statistics), now is the time to diversify our workforce in the specialties of biostatistics and data science. Herein, we plan to expand the pool of students from underrepresented groups in these disciplines by introducing a new curriculum for teaching critical skills in biostatistics and data science, LA’s Biostatistics and Data Science Summer Training Program at the University of Southern California (LA’s BeST @USC), with a focus on current research challenges in the study of heart and lung disease. The Division of Biostatistics in the Department of Preventive Medicine of the University of Southern California (USC) is uniquely positioned to attract talented undergraduates from underrepresented groups into these fields due to its success in graduate level training since 1976, its location in the ethnically diverse LA Basin, its multi-disciplinary research in diverse populations, and real-life oriented approach to biomedical research. The faculty has expertise in ‘big data’, machine learning, epidemiological methods, spatial statistics and clinical trials, and has an NIH-funded P01 to develop novel statistical methods for integrative genomics. Training a diverse workforce of scientists requires a diverse faculty. A team of faculty from backgrounds including women, Latinx, Japanese American, and first in their family to attain a college education, who all share a tradition of individual hands-on research mentorship and extensive portfolios of research grant support in biostatistics, epidemiology, clinical trials, and electronic health records, is amassed and available to trainees. With this team, we propose the following specific aims: 1) To identify and recruit high-quality and highly motivated college undergraduate students from underrepresented groups. 2) To provide the trainees with courses and hands-on training in biostatistics and data science. 3) To provide mentoring and professional development training. 4) To track LA’s BeST trainees through completion of their undergraduate degree, post-graduate education, and to their first employment.

摘要 我们国家的健康差距很大，而且还在扩大，而且已知是由许多因素造成的。一个多- 需要多学科的科学家团队采取多方面的方法来妥善解决这一慢性和 日益严重的问题。增加生物医学研究科学家的多样性是实现 解决这场危机。随着当前与健康相关的数据泛滥，预计 2019年至2029年统计员的就业市场(劳工统计局)，现在是多样化的时候了 我们在生物统计和数据科学专业的劳动力。在此，我们计划扩大资源池 这些学科中代表性不足的群体的学生通过引入新的课程 教授生物统计和数据科学的关键技能，洛杉矶生物统计和数据科学之夏 南加州大学的培训计划(洛杉矶最好的@USC)，重点是当前 心脏和肺病研究中的研究挑战。 加州大学预防医学系生物统计学分部 南加州大学在吸引有才华的本科生方面具有得天独厚的优势。 由于自1976年以来在研究生层面的培训取得成功，其在这些领域的代表性不足的群体，其 位于种族多元化的洛杉矶盆地，在不同人群中进行多学科研究，以及 面向现实生活的生物医学研究方法。教职员工在大数据、机器等方面拥有专业知识 学习、流行病学方法、空间统计和临床试验，并有国家卫生研究院资助的P01到 为综合基因组学开发新的统计方法。培养多样化的科学家队伍 需要一个多元化的教职员工。一支来自女性、拉丁裔、日语背景的教职员工团队 美国人，也是他们家庭中第一个获得大学教育的人，他们都有一个共同的个人传统 亲身实践的研究指导和广泛的生物统计学研究资助组合， 流行病学、临床试验和电子健康记录被收集起来，供受训者使用。使用 在这支队伍中，我们提出了以下具体目标：1)发现和招聘高素质和高素质的 激励来自代表性不足群体的大学本科生。2)为学员提供 提供生物统计学和数据科学方面的课程和实践培训。3)提供指导和 职业发展培训。4)通过完成以下课程来跟踪洛杉矶最优秀的学员 本科学历，研究生学历，并到他们的第一次就业。