Increasing Diversity in Interdisciplinary BD2K (IDI-BD2K)

摘要 跨学科BD2K增加多样性倡议(IDI-BD2K)提案已确定 以增加BD2K科学界的多样性。为此，它将加入美国国立卫生研究院的 努力增加代表不足的研究人员的数量，包括学生和教职员工， 大数据科学及其在生物医学研究中的应用。我们的IDI-BD2K项目 介绍了一系列活动，将吸引学生进入大数据生物医学领域 研究，为他们提供执行大数据所需的课程和培训 研究并指导他们参与“亲身实践”的跨学科生物医学大 数据研究经验，并在UPR Río创建BD2K研究人员社区 皮德拉斯。IDI-BD2K计划的目标是加强学生的准备和支持 因此，他们继续大数据研究的研究生课程，并最终进入 从事大数据生物医学的学术和专业研究人员社区 研究。为了实现我们的目标，UPR-RP与哈佛的BD2K中心进行了合作 匹兹堡大学和加州大学圣克鲁斯分校提供 每年至少有6名本科生参加暑期研究。这个 该计划还将为教师提供机会，以发展他们的研究和专业知识在 通过休假和与BD2K中心教职员工的研讨会进行大数据研究。在……里面 此外，开发和整合新的课程、讲习班、研讨会和 将大数据科学在线课程模块纳入《自然》大学本科课程 科学学院，将有助于扩大研究基础设施和能力 UPR-RP研究并增加UPR-RP在大数据领域的贡献 科学，它渗透到现代科技的方方面面。

Summary The Initiative for Increasing Diversity In Interdisciplinary BD2K (IDI-BD2K) proposal is set to increase the diversity of the BD2K scientific community. It will do so by joining NIH in its effort to increase the number of underrepresented researchers, both students and faculty, in Big Data Science and its applications to biomedical research. Our IDI-BD2K project presents a series of activities that will attract students to the field of Big Data Biomedical research, provide them with the courses and training necessary to perform Big Data research and directs them to participate in “hands-on” Interdisciplinary Biomedical Big Data research experiences, and create a community of BD2K researchers at UPR Río Piedras. The IDI-BD2K program objective is to enhance student preparation and support so they continue onto graduate studies in Big Data Research and eventually enter the academic and professional community of investigators doing Big Data Biomedical research. To achieve our goals, UPR-RP has partnered with BD2K centers at Harvard University, the University of Pittsburgh and the University of California Santa Cruz to offer summer research experiences to at least 6 of our undergraduate students per year. The program will also offer opportunities for faculty to develop their research and expertise in Big Data Research through sabbaticals and workshops with the BD2K center faculty. In addition, the development and integration of new courses, workshops, seminars, and online course modules in Big Data Science into the undergraduate curricula of the Natural Sciences College, will serve to expand the research infrastructure and capabilities of the UPR-RP researchers and increase the UPR-RP's contribution in the field of Big Data Science, which permeates all of modern science and technology.