Culturally Augmented Learning In Biomedical Informatics Research (CALIBIR) Program

生物医学信息学研究中的文化增强学习 (CALIBIR) 计划

• 批准号: 10701848
• 负责人: Metin Nafi Gurcan
• 金额: $ 13.47万
• 依托单位: WAKE FOREST UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-15 至 2027-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10701848
• 关键词: Address; Advisory Committees; Area; Artificial Intelligence; Awareness; Basic Science; Behavioral Sciences; Bioinformatics; Biology; Biomedical Engineering; Chemistry; Clinical; Clinical Data; Clinical Informatics; Clinical Research; Collaborations; Communication; Competence; Data Science; Degree program; Development; Discipline; Doctor of Philosophy; Education; Educational Activities; Educational workshop; Engineering; Ensure; Environment; Ethics; Evaluation; Event; Faculty; Fostering; Funding; Goals; Graduate Degree; Health system; Healthcare; Immersion; Individual; Influentials; Informatics; Infrastructure; Interdisciplinary Study; Internships; Investigation; Journals; Laboratories; Learning; Mathematics; Measurable; Medical; Mentors; Monitor; Oral; Outcome; Participant; Patient Self-Report; Pattern; Physics; Positioning Attribute; Preparation; Program Evaluation; Psychology; Publications; Radial; Recording of previous events; Research; Research Project Grants; Research Training; Scientific Evaluation; Sociology; Structure; Students; Techniques; Training; Training Activity; Training Programs; Training and Education; Underrepresented Students; Universities; Vision; Writing; biomedical informatics; career; clinically relevant; cohort; college; computer science; data science education; design; evidence base; experience; faculty mentor; forest; graduate school; health disparity; imaging informatics; improved; innovation; interest; lectures; matriculation; medical schools; programs; recruit; research faculty; responsible research conduct; skills; social; statistics; summer internship; summer research; tool; undergraduate student

PROJECT SUMMARY/ABSTRACT The Culturally Augmented Learning In Biomedical Informatics Research (CALIBIR) program will address the clear need to enhance diversity within the biomedical informatics and data science field, particularly the dearth of underrepresented individuals pursuing graduate programs and careers in different areas of this field. The CALIBIR program builds on the research strengths in biomedical informatics and data science and the existing didactic training in biomedical informatics, engineering, statistics, and computer science topics at Wake Forest School of Medicine and Wake Forest University. The Program Faculty (including the Program Directors) have vast academic and professional experiences; a history of administration and collaboration on diversity-focused research and training programs; and ongoing research and funding in the five research domains proposed for CALIBIR training: Clinical Research Informatics, Artificial Intelligence, Healthcare Informatics, Imaging Informatics, and Translational Bioinformatics. Thus, we are well-positioned to offer a 10-week summer research immersion experience to train and educate undergraduate and master’s level underrepresented students and promote greater interest, exposure, and research experiences in biomedical informatics and data science. The CALIBIR program will support mentored research training activities of 60 scholars (12 students per summer). The program's overall goals are to: 1) increase underrepresented students' skills, preparation, and commitment to participate in cutting-edge biomedical informatics research; 2) offer lectures and hands-on demonstrations on state-of-the-art biomedical informatics techniques via a “Biomedical Informatics Boot Camp”; 3) provide group seminars and networking events covering responsible conduct of research, scientific dissemination, and professional development topics; 4) build trainee experience in scientific communication via a journal club, writing workshop, and an abstract and oral presentation of their research; 5) cultivate influential and long-lasting collaborative relationships between trainees and mentors to highlight the value of teamwork in research and provide an accepting and inclusive environment that will positively impact students from diverse backgrounds; and 6) encourage underrepresented students to pursue doctoral studies and careers in biomedical informatics and data science fields through an experience that exemplifies the excitement and challenges of clinically relevant investigations. The overarching goal of the CALIBIR program is to expand the pool of underrepresented students who successfully complete a graduate degree in a biomedical informatics- related field up to a PhD and increase the diversity of the biomedical informatics and data science workforce. In sum, the CALIBIR program takes advantage of unique strengths, existing infrastructure, and long-standing collaborations among diverse program faculty to ensure the successful creation and implementation of the program. It offers several innovative approaches to provide both technical and professional preparation to recruit and retain underrepresented students in the biomedical informatics and data science fields.

项目总结/摘要 生物医学信息学研究中的文化增强学习（CALIBIR）计划将解决 明确需要加强生物医学信息学和数据科学领域的多样性，特别是缺乏 在这个领域的不同领域追求研究生课程和职业的代表性不足的个人。的 CALIBIR计划建立在生物医学信息学和数据科学的研究优势以及现有的 在维克森林进行生物医学信息学、工程学、统计学和计算机科学主题的教学培训 医学院和维克森林大学。课程教师（包括课程主任）有 丰富的学术和专业经验;管理和合作的历史，以多样性为重点 研究和培训计划;以及正在进行的研究和资助五个研究领域的建议， CALIBIR培训：临床研究信息学，人工智能，医疗保健信息学，成像 信息学和翻译生物信息学。因此，我们有能力提供为期10周的夏季 沉浸式研究经验，以培养和教育本科生和硕士水平代表性不足 学生和促进更大的兴趣，曝光和生物医学信息学和数据的研究经验 科学CALIBIR计划将支持60名学者（12名学生）的指导研究培训活动 每年夏天）。该计划的总体目标是：1）提高代表性不足的学生的技能，准备， 并致力于参与前沿的生物医学信息学研究; 2）提供讲座和实践 通过“生物医学信息学靴子”演示最先进的生物医学信息学技术 3）提供小组研讨会和网络活动，包括负责任地进行研究，科学研究， 传播和专业发展主题; 4）通过以下方式建立培训生在科学传播方面的经验 期刊俱乐部，写作研讨会，以及他们研究的摘要和口头报告; 5）培养有影响力的 学员和导师之间的长期合作关系，以突出团队合作的价值， 研究和提供一个接受和包容的环境，将积极影响学生从不同的 背景; 6）鼓励代表性不足的学生攻读博士学位和职业生涯， 生物医学信息学和数据科学领域通过体验， 临床相关研究的挑战。CALIBIR计划的首要目标是扩大 成功完成生物医学信息学研究生学位的代表性不足的学生群体- 相关领域的博士学位，并增加生物医学信息学和数据科学劳动力的多样性。 总之，CALIBIR计划利用独特的优势，现有的基础设施， 不同的程序教师之间的合作，以确保成功的创建和实施， 程序.它提供了几种创新的方法，提供技术和专业准备， 在生物医学信息学和数据科学领域招聘和留住代表性不足的学生。