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)

基本信息

批准号：
10368449
负责人：
Juan Pablo Lewinger
金额：
$ 25.28万
依托单位：
UNIVERSITY OF SOUTHERN CALIFORNIA
依托单位国家：
美国
项目类别：
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/10368449
关键词：
Acute Address Alaska Alaskan American Indians Artificial Intelligence Automobile Driving Bachelor&apos 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 Felis catus Female Funding Generations Genetic Genomics Goals Growth Health Heart Diseases Historically Black Colleges and Universities Individual Interdisciplinary Study Interview Japanese American Latino Latinx Lead 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 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

项目摘要

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.

抽象的我们国家的健康差距日益严重，并且是由多种因素造成的。需要多学科科学家团队采取多方面的方法来妥善解决这一长期存在的问题增加生物医学研究科学家的多样性是解决这个问题的关键策略之一。面对当前与健康相关的大量数据以及预计将增长 34% 的数据，应对这一危机。 2019年至2029年统计学家的就业市场（劳工统计局），现在是多元化的时候了我们计划扩大生物统计学和数据科学专业的人才队伍。通过引入新课程，吸引来自这些学科中代表性不足群体的学生洛杉矶生物统计学和数据科学暑期课程教授生物统计学和数据科学的关键技能南加州大学 (LA’s BeST @USC) 的培训计划，重点关注当前心脏和肺部疾病研究中的研究挑战。中国人民大学预防医学系生物统计学教研室南加州 (USC) 具有独特的优势，能够吸引来自以下国家的优秀本科生由于自 1976 年以来在研究生水平培训方面取得的成功，进入这些领域的群体代表性不足，位于种族多元化的洛杉矶盆地，其对不同人群的多学科研究，以及该教师拥有“大数据”、机器方面的专业知识。学习、流行病学方法、空间统计和临床试验，并拥有 NIH 资助的 P01 开发用于综合基因组学的新颖统计方法，培训多元化的科学家队伍。需要一支多元化的教师团队，其背景包括女性、拉丁裔、日本人。美国人，是家族中第一个接受大学教育的人，他们都有个人的传统生物统计学领域的实践研究指导和广泛的研究资助支持，流行病学、临床试验和电子健康记录已积累并可供学员使用。对于这个团队，我们提出以下具体目标： 1）识别和招募高素质、高素质的人才 2) 提供受训人员。提供生物统计学和数据科学方面的课程和实践培训 3) 提供指导和指导。 4) 跟踪洛杉矶 BeST 学员完成培训的情况。本科学位、研究生教育以及第一次就业。