MARC at the University of Florida

佛罗里达大学 MARC

• 批准号: 10621937
• 负责人: DAVID JULIAN
• 金额: $ 32.46万
• 依托单位: UNIVERSITY OF FLORIDA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-01 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10621937
• 关键词: Address; Artificial Intelligence; Authorship; Bachelor' s Degree; Behavioral Research; Biomedical Research; CCL7 gene; Course Content; Data Science; Degree program; Development; Doctor of Philosophy; Educational workshop; Engineering; Environment; Ethnic Population; Extramural Activities; Florida; Funding; Geriatric Psychiatry; Goals; Graduation Rates; Group Processes; Machine Learning; Measurable; Mental Health; Mentors; Mentorship; Monitor; Motivation; Outcome; Performance; Postdoctoral Fellow; Preparation; Publications; Research; Resources; Students; Training; United States National Institutes of Health; Universities; Well in self; cohort; design; disabled students; doctoral student; experience; faculty mentor; faculty research; graduate student; improved; innovation; matriculation; novel; programs; racial population; recruit; skill acquisition; undergraduate student

PROJECT SUMMARY/ABSTRACT The proposed project addresses the problem of low diversity in biomedical and behavioral research by continuing and improving the University of Florida (UF) MARC program. The program will recruit 30 undergraduate trainees from underrepresented (UR) backgrounds and place them with NIH-funded faculty mentors for up to three years of continuous research mentorship within an integrated training environment. The overall program is designed to increase each trainee's technical, operational, and professional development skills for biomedical and behavioral research, promote each trainee's academic performance, and enhance each trainee's mental health and wellness, with the goal of increasing motivation and preparation for transitioning to a competitive PhD program. The program recruited its first trainee cohort in 2017 and appointed 17 trainees through 2020 (four more have been selected for 2021). All 12 trainees who have since graduated were accepted to competitive PhD programs (10) or directly entered the biomedical workforce (2). The program includes 15 undergraduate degree programs at UF in which ca. 3,300 students (30%) are from underrepresented racial/ethnic groups and ca. 1,000 (9%) are students with disabilities. The proposed MARC program has six measurable performance targets: 1) recruit 30 trainees (10 as rising sophomores and 20 as rising juniors), 2) at least 93% trainee retention, 3) 100% participation in an extramural research experience, 4) at least 93% 4-year graduation rate (5-yr for engineering majors), 5) at least 75% authorship on a research publication, and 6) at least 90% matriculation to a PhD or MD/PhD program within two years. The training plan includes continuous participation in research mentored by a faculty research mentor and an integrated curriculum of courses and activities. The proposed program includes three novel, innovative projects: development of two Data Science and Research Computing courses that provide training in biomedical applications of artificial intelligence and machine learning, biweekly trainee participation Mental Health & Wellness Process Groups led by senior psychiatry residents, and development of workshops to train graduate students and postdoctoral students in mentoring undergraduates in research environments. Resources from these novel projects will be open and exportable. Program outcomes will be continuously monitored, and adjustments made whenever indicated.

项目摘要/摘要 拟议的项目解决了生物医学和行为多样性低的问题 通过继续和改善佛罗里达大学（UF）MARC计划的研究。这 计划将从代表性不足（UR）背景和 将他们与NIH资助的教师导师一起进行长达三年的持续研究 在综合培训环境中进行指导。整个程序旨在 提高每个学员的技术，运营和专业发展技巧 生物医学和行为研究，促进每个学员的学习成绩，以及 增强每个学员的心理健康和健康，目的是增加动力和 为过渡到竞争性博士学位计划的准备。该计划招募了第一个 2017年的实习生队列，并在2020年任命了17名学员（另外四个被选中 2021）。从那以后毕业的所有12名学员都被接受为具有竞争力的博士学位 程序（10）或直接进入生物医学劳动力（2）。该程序包括15个 UF的大学学位课程。 3,300名学生（30％）来自 代表性不足的种族/族裔群体和大约。 1,000（9％）是残疾学生。这 拟议的MARC计划具有六个可衡量的绩效目标：1）招募30名学员（10名AS 大二的上升和20名崛起的大三），2）至少93％的学员保留，3）100％ 参与壁外研究经验，4）至少93％的4年毕业率（5年 对于工程专业），5）至少在研究出版物上的作者至少75％，至少至少 在两年内与博士或MD/PHD计划的90％入学。培训计划包括 由教师研究导师和综合的研究指导的研究不断参与 课程和活动课程。拟议的节目包括三个小说创新 项目：开发两个提供的数据科学和研究计算课程 每周一次的人工智能和机器学习的生物医学应用培训 受训者参与精神健康和保健过程小组由高级精神病学领导 居民，以及开展研讨会来培训研究生和博士后学生 在研究环境中指导大学生。这些新型项目的资源 将是开放且可导出的。程序成果将不断监控，并且 每当指示时进行调整。