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.

项目总结/摘要 拟议的项目解决了生物医学和行为医学领域多样性低的问题。 继续和改进佛罗里达大学（UF）MARC计划的研究。的 该计划将招募30名来自代表性不足（UR）背景的本科生， 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 在综合培训环境中提供指导。整个计划旨在 提高每个受训者的技术、操作和专业发展技能， 生物医学和行为研究，促进每个学员的学业成绩， 提高每个受训者的心理健康和健康，目标是增加动力， 准备过渡到一个有竞争力的博士课程。该计划招募了第一个 2017年的培训生队列，并在2020年之前任命了17名培训生（已选定另外4名 2021年）。所有12名毕业的学员都被竞争激烈的博士学位所接受 计划（10）或直接进入生物医学劳动力（2）。该计划包括15 在UF的本科学位课程，其中CA。3,300名学生（30%）来自 代表性不足的种族/族裔群体和ca. 1，000人（9%）是残疾学生。的 拟议的MARC计划有六个可衡量的绩效目标：1）招募30名学员（10名为 20名应届毕业生和20名应届毕业生），2）至少93%的学员保留率，3）100% 参与校外研究经验，4）至少93%的4年毕业率（5年 工程专业），5）至少75%的研究出版物的作者，以及6）至少 90%的学生在两年内进入博士或MD/PhD课程。培训计划包括 持续参与由教师研究导师指导的研究和综合 课程和活动的课程。该计划包括三个新颖，创新 项目：开发两门数据科学和研究计算课程， 人工智能和机器学习的生物医学应用培训，每两周一次 学员参与精神卫生和健康过程小组由高级精神病学领导 研究生和博士后研究生培训班 在研究环境中指导本科生。这些新项目的资源 将是开放和可出口的。将持续监测方案成果， 随时进行调整。