HEART & SOUL: Enabling full representation in biomedical Big Data science

项目总结 增强生物医学大数据工作人员的多样性将改善其实践的期望是 RFA-MD-16-002的驱动力，要求开发研究经验和课程 数据科学。然而，高度数学化和/或计算性的课程可能会引发刻板印象 来自代表不足群体的学生的威胁和表现不佳，以及糟糕的研究经验可能会 导致从科学中退出。因此，我们的心灵与灵魂计划的总体目标是使用一个系统的 为所有有兴趣的学生创造智力安全的研究和教学环境的方法 生物医学大数据科学。这将在旧金山州立大学(SF State)通过以下方式完成 让教师参与者参与指导研究体验，这将磨练他们在参与性研究方面的技能 包括少数群体在内的大数据研究的技术，以及多样性的指导。 此外，在我们的研究中，教员参与者将从指导和与教员建立联系中受益 合作伙伴，加州大学旧金山分校(UCSF)。因此，《心灵与灵魂》节目 合作伙伴SF State，一所以本科生为主的机构，在全国范围内享有盛誉 在为未被充分代表的学生为生物医学研究事业做准备方面表现出色，加州大学旧金山分校是 在生物医学大数据研究方面突出的研究密集型机构。这些人一起工作 各机构将培养必要的教师变革推动者，为以下方面创造肯定的研究环境 本科生参与大数据研究体验，并实施有效教学 在这一领域吸引更多本科生的方法。后一项活动将受益于SF State的 致力于有效的科学教学和积极的科学学习。我们的活动加在一起是 有望为生物医学大数据的研究、培训和教学提供可持续的基础设施 科学使数据科学变得可访问，并确保新的学生干部拥有必要的技能 构建供不同劳动力使用的参与式技术。

PROJECT SUMMARY The expectation that enhancing diversity of the biomedical Big Data workforce will improve its practice is the driving force for RFA-MD-16-002 that calls for development of both research experiences and curriculum in data science. However, curriculum that is highly mathematical and/or computational can trigger stereotype threat and underperformance in students from underrepresented groups, and poor research experiences can cause exit from science. Therefore, the overall goal of our HEART & SOUL program is to use a systemic approach to creating intellectually safe research and teaching environments for all students interested in biomedical Big Data science. This will be accomplished at San Francisco State University (SF State) by engaging faculty participants in mentored research experiences that will hone both their skills in participatory technologies for Big Data research that is inclusive of minority populations, and in mentoring for diversity. Furthermore, faculty participants will benefit from mentoring and networking efforts with faculty at our research partner, the University of California, San Francisco (UCSF). Consequently, the HEART & SOUL program partners SF State, a predominantly undergraduate institution that has garnered a national reputation for excellence in preparing underrepresented students for biomedical research careers, with UCSF that is a research-intensive institution with prominence in biomedical big data research. Working together these institutions will develop the faculty change agents necessary to create affirming research environments for undergraduates participating in Big Data research experiences, and to implement effective instructional approaches for engaging additional undergraduates in this field. The latter activity will benefit from SF State’s commitment to effective scientific teaching and active learning in science. Taken together our activities are expected to result in the sustainable infrastructure for research training and teaching in biomedical Big Data science to make data science accessible and ensure a new cadre of students have the skills necessary to build participatory technologies employed by a diverse workforce.