Biomedical Informatics and Data Science at Institute for Informatics (BIDS@I2)

信息学研究所生物医学信息学和数据科学 (BIDS@I2)

• 批准号: 10631739
• 负责人: Joanna Abraham
• 金额: $ 13.49万
• 依托单位: WASHINGTON UNIVERSITY
• 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/10631739
• 关键词: Admission activity; African American population; Alaska Native; American Indians; Area; Arts; Award; Bioinformatics; Biological Sciences; Biomedical Research; Biometry; Career Choice; Characteristics; Clinical Informatics; Clinical Research; Collaborations; Communication; Competence; Data; Data Science; Data Science Core; Disabled Persons; Discipline; Discipline of Nursing; Education Projects; Educational Curriculum; Engineering; Environment; Ethnic Origin; Evaluation; Exposure to; Faculty; Feedback; Fostering; Funding; Future; Goals; Graduate Education; Health Sciences; Healthcare; Hispanic Americans; Home; Individual; Industrialization; Informatics; Institutes; Knowledge; Learning; Mathematics; Medicine; Mentors; Methods; Native Hawaiian; Pacific Islander; Patient-Focused Outcomes; Personal Attribute; Persons; Pharmacy facility; Problem Solving; Professional Role; Psychology; Public Health; Public Health Informatics; Public Health Nursing; Research; Research Personnel; Research Project Grants; Resources; STEM research; Schools; Science, Technology, Engineering and Mathematics; Secure; Social Network; Structure; Student recruitment; Students; Training; Training Activity; Translating; Translational Research; Underrepresented Minority; Underrepresented Populations; United States National Institutes of Health; United States National Library of Medicine; Universities; Visual; Vocational Guidance; Washington; Woman; Writing; biomedical data science; biomedical informatics; broadening participation research; career; clinical practice; computer science; diversity and equity; education research; experience; faculty mentor; graduate student; hands on research; improved; innovation; interdisciplinary collaboration; medical schools; meetings; minority trainee; outreach; peer; population health; programs; prospective; recruit; research to practice; role model; skills; student training; success; summer internship; supportive environment; theories; undergraduate student; women faculty

Project Summary Biomedical Informatics and Data Science at Institute for Informatics (BIDS@I2) provides opportunities for undergraduate and masters’ students to explore the field of biomedical informatics and data science; to train future biomedical researchers in biomedical informatics and data science core competencies; to engage students in scholarly activities under the guidance of experienced informatics and data science faculty; and lastly, to foster their understanding of translating biomedical informatics research into practice. The objectives of the BIDS@I2 are to 1) expand students’ knowledge of theories and applications in biomedical informatics; 2) provide training and hands-on research experience in biomedical informatics and data science research; 3) assist students in enhancing and applying their knowledge and skills in translational science and dissemination of research findings; 4) encourage students to pursue graduate education and/or research careers through exposure to professional role models or mentors; and 5) develop and improve students’ skills in interdisciplinary teamwork and communication. BIDS@I2 offers an unique environment for undergraduate and graduate students to explore the diversity within biomedical informatics research. BIDS@I2 has the capacity to host approximately 20 students each year. We request funding from the NLM R25 Research Education Program to support 5 undergraduate and 4 masters students each year to cultivate a BIDS career pathway. We will allocate at least 67% of the R25 fund to URMs (4 undergraduate URM and 2 master URM trainees), which will comprise roughly 30% of BIDS@I2 students each year. In addition, we will recruit at least 50% of students from schools with limited resources for research. Students’ research experiences will be enhanced through our structured training curriculum: orientation, training modules, lunch and learn research seminars, mentor lab meetings, scientific presentations, and writing, as well as through interactions and collaborations with peers, fellows, and graduate trainees from multiple disciplines, such as medicine, nursing, pharmacy, psychology, public health, biostatistics, and computer science. BIDS@I2 will promote interdisciplinary collaboration in biomedical informatics, which aims to solve problems in clinical practice, individual and population health, data science, and biomedical research through the optimal use of information. BIDS@I2 will support the following areas: 1) an inclusive and supportive environment for students with limited resources and from underrepresented groups; 2) diverse research directions to accommodate students with various backgrounds and skills; 3) interdisciplinary collaboration across the spectrum of biomedical informatics and data science; 4) research projects with a long-term impact on the use of information to improve clinical practice, life science, and patient-centered outcomes; and 5) prepare students for graduate school as well as future careers in STEM research.

项目概要 信息学研究所 (BIDS@I2) 的生物医学信息学和数据科学研究所提供了机会 本科生和硕士生探索生物医学信息学和数据科学领域进行培训； 未来生物医学研究人员在生物医学信息学和数据科学核心能力方面的参与； 学生在经验丰富的信息学和数据科学教师的指导下进行学术活动； 最后，培养他们对将生物医学信息学研究转化为实践的理解。 BIDS@I2 的目的是 1) 扩展学生的生物医学信息学理论和应用知识 2) 提供生物医学信息学和数据科学研究方面的培训和实践研究经验；3) 帮助学生增强和应用他们在转化科学和传播方面的知识和技能 研究成果；4）鼓励学生通过以下方式追求研究生教育和/或研究职业： 接触专业榜样或导师；5) 发展和提高学生的技能 跨学科团队合作和交流。 BIDS@I2 为本科生和学生提供了独特的环境。 研究生探索生物医学信息学研究的多样性。 BIDS@I2 每年可接待大约 20 名学生。我们向 NLM 申请资助。 R25研究教育计划每年支持5名本科生和4名硕士生培养 我们将至少 67% 的 R25 资金分配给 URM（4 个本科 URM 和 2 个）。 硕士 URM 培训生），每年约占 BIDS@I2 学生的 30% 此外，我们将 从资源有限的学校招募至少 50% 的学生进行学生研究。 我们的结构化培训课程将增强经验：入职培训、培训模块、午餐 并学习研究研讨会、导师实验室会议、科学演示和写作，以及通过 与来自多个学科的同行、研究员和研究生学员进行互动和合作，例如 医学、护理学、药学、心理学、公共卫生、生物统计学和计算机科学。 BIDS@I2将促进生物医学信息学领域的跨学科合作，旨在解决生物医学信息学领域的问题 通过最佳的临床实践、个人和群体健康、数据科学和生物医学研究 BIDS@I2 的信息使用将支持以下领域：1) 为企业提供包容性和支持性的环境。 资源有限且来自代表性不足群体的学生；2）多样化的研究方向 容纳具有不同背景和技能的学生；3）跨学科合作； 生物医学信息学和数据科学领域；4）对使用有长期影响的研究项目 改善临床实践、生命科学和以患者为中心的结果的信息；5) 帮助学生做好准备； 适用于研究生院以及 STEM 研究的未来职业。