KU Post-Baccalaureate Research Education Program

项目总结 堪萨斯大学(KU)要求更新其学士学位后研究教育计划(KU 准备)。Ku Prep计划在五年内再培训35名学者攻读研究型博士学位 并成为生物医学劳动力的领导者，特别强调增加 美国印第安人(AI)学者进行博士级别的生物医学研究。Ku是一位顶尖的研究人员 该机构被卡内基基金会列为“博士生大学：非常高的研究活动”， 美国大学协会(AAU)成员。Ku Prep招募了一批合格的 由于历史悠久，涉及面广，在招聘和培训人工智能学者方面具有独特的地位 KU和Haskell印第安人民族大学(都位于堪萨斯州劳伦斯)之间的合作。这个 KU Prep学者的活动是由一个全面的个人发展计划(IDP)决定的，该计划是由 在学者们到达校园之前，不断地被学者们和 准备辅导团队。研究培训是国内发展计划的中心重点，每名KU预科学者完成 在以生物医学为重点的实验室中进行的一项研究项目，该项目旨在培养学者创造和测试 科学假设，并获得进行独立的、可重复的生物医学研究所需的技能。 预科学者还参加了提高他们的定量/计算和数据分析能力的课程 能力，并参与以发展口头和书面科学交流为重点的活动 技能。每一位学者的工作最终以在KU-Haskell年度研究研讨会上的一次陈述而告终 完成了一篇关于他们研究项目的期刊风格的文章。Ku Prep的职业化和个人化 发展系列侧重于促进学者的福祉(例如，建立复原力和解决共同 来自代表性不足群体的科学家面临的挑战)，帮助他们作为专业人员成熟，同时 保持他们的文化认同，提高他们的自我效能和科学认同感。指导团队 与学者密切合作，建立和加强一个全面的支持网络，使他们能够 在预科和他们随后的博士课程中使用。这个网络包括学者的准备 研究导师和其他KU研究合作者和同行，预备团队成员，以及(最终) 学者的研究生研究顾问和其他特别指定的个人/团体提供必要的 在该学者的研究生院提供支持。三K党预科校友也在支持网络中发挥关键作用，以及 由于我们的参与，现在KU预科学者和校友之间的交流变得非常方便 在KU校友会的在线辅导网络中。定期评估计划允许KU准备 在应对挑战和寻求新方法改进和创新的同时，在其成功的基础上，在我们的 努力实现生物医学研究队伍多样化的目标，特别是在参与方面 人工智能学者。

PROJECT SUMMARY The University of Kansas (KU) requests renewal of its Post-baccalaureate Research Education Program (KU PREP). KU PREP seeks to train an additional thirty-five scholars over five years to pursue research doctorates and become leaders in the biomedical workforce, placing special emphasis on increasing the number of American Indian (AI) scholars conducting doctorate-level biomedical research. KU is a premier research institution classified by the Carnegie Foundation as a “Doctoral University: Very High Research Activity” and is a member of the Association of American Universities (AAU). KU PREP recruits a diverse array of qualified scholars and is uniquely positioned to recruit and train AI scholars due to long-standing and wide-ranging collaborations between KU and Haskell Indian Nations University (both located in Lawrence, Kansas). The activities of KU PREP scholars are shaped by a comprehensive individual development plan (IDP) that is initiated prior to the scholars’ arrival on campus and is continually re-evaluated and adjusted by the scholars and the PREP mentoring team. Research training is a central focus of the IDP, and each KU PREP scholar completes a research project in a biomedically-focused laboratory that develops the scholar’s ability to create and test a scientific hypothesis and obtain the skills necessary to conduct independent, reproducible biomedical research. PREP scholars also enroll in coursework that improves their quantitative/computational and data analysis competencies and participate in activities focused on developing their oral and written scientific communication skills. Each scholar’s work culminates with a presentation at the annual KU-Haskell Research Symposium and the completion of a journal style article on their research project. KU PREP’s Professional and Personal Development series focuses on promoting scholars’ well-being (e.g., building resilience and addressing common challenges faced by scientists from underrepresented groups), helping them mature as professionals while maintaining their cultural identities, and increasing their self-efficacy and science identity. The mentoring team works closely with scholars to establish and strengthen a comprehensive support network that they will be able to utilize during PREP and their subsequent doctoral programs. This network includes the scholar’s PREP research mentor and other KU research collaborators and peers, members of the PREP team, and (ultimately) the scholar’s graduate research advisor and other individuals/groups specifically identified to provide necessary support at the scholar’s graduate institution. KU PREP alumni also play a key role in the support network, and communications between current KU PREP scholars and alumni are now greatly facilitated by our participation in the KU Alumni Association’s online mentoring network. Regular evaluation of the program allows KU PREP to build on its successes while addressing challenges and seeking new ways to improve and innovate, in our efforts to meet the goal of diversifying the biomedical research workforce, particularly concerning the participation of AI scholars.