MARC at the University of Florida

项目摘要/摘要 拟议的项目解决了生物医学和行为领域的低多样性问题。 通过继续和改进佛罗里达大学(UF)MARC项目进行研究。这个 该计划将招聘30名来自代表性不足(UR)背景的本科生，并 让他们与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。整个计划旨在 提高每位学员的技术、运营和专业发展技能 生物医学和行为研究，促进每个受训者的学习表现，以及 增强每个学员的心理健康和健康，目标是增加动力和 为过渡到有竞争力的博士项目做准备。该项目招募了第一个 2017年的受训人员队列，并任命了17名受训人员，直至2020年(又有4名受训人员入选 2021年)。所有12名毕业后的实习生都被竞争博士学位录取 计划(10)或直接进入生物医学劳动力(2)。该计划包括15个 UF的本科学位课程，约有3300名学生(30%)来自 代表不足的种族/族裔群体约有1,000人(9%)是残疾学生。这个 拟议的MARC计划有六个可衡量的业绩目标：1)招聘30名实习生(10名 2)至少93%的实习生保留率，3)100% 参与校外研究经验，4)至少93%的4年毕业率(5年 对于工程专业)，5)至少75%是研究出版物的作者，以及6)至少 90%的学生在两年内获得博士学位或医学博士/博士学位。培训计划包括 持续参与研究，由一名教师研究导师和一名综合 课程和活动的课程设置。提出的方案包括三个新颖、创新的方案 项目：开发两门数据科学和研究计算课程，提供 人工智能和机器学习的生物医学应用培训，双周 由高级精神病学领导的学员参与心理健康过程小组 住院医生，并开发培训研究生和博士后的讲习班 在研究环境中指导本科生。来自这些新颖项目的资源 将是开放的和可出口的。将持续监测计划成果，并 无论何时，只要有需要就进行调整。

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.