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.

项目摘要 信息学研究所的生物医学信息学和数据科学（bids@i2）为机会提供了机会 本科生和硕士学生探索生物医学信息和数据科学领域；训练 生物医学信息和数据科学核心能力的未来生物医学研究人员；参与 在经验丰富的信息和数据科学教师的指导下，从事科学活动的学生；和 最后，要培养他们对将生物医学信息研究转化为实践的理解。目标 @i2的投标是1）扩大学生对生物医学信息中理论和应用的了解； 2） 提供生物医学信息和数据科学研究方面的培训和动手研究经验； 3） 协助学生在转化科学和传播中增强和运用他们的知识和技能 研究结果； 4）鼓励学生通过 接触专业榜样或导师； 5）发展和提高学生的技能 跨学科的团队合作和沟通。 bids@i2为本科生提供了一个独特的环境 研究生探讨生物医学信息研究中的多样性。 bids@i2有能力每年接待大约20名学生。我们要求NLM的资金 R25研究教育计划，每年支持5个本科生和4名硕士学生，以培养 出价职业道路。我们将至少将R25基金的67％分配给URM（4个本科URM和2 URM学员），每年将完成大约30％的竞标@I2学生。此外，我们将 招募至少50％的学校学生，研究资源有限。学生的研究 我们的结构化培训课程将增强体验：方向，培训模块，午餐 并学习研究半手，心理实验室会议，科学演示和写作，以及 与来自多个学科的同龄人，研究员和研究生实习生的互动和合作，例如 医学，护士，药房，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的跨学科合作，旨在解决问题 通过最佳的临床实践，个人和人口健康，数据科学和生物医学研究 信息的使用。投标@i2将支持以下领域：1） 资源有限的学生，来自代表性不足的群体； 2）多样化的研究指示 有各种背景和技能的住宿学生； 3）跨学科的合作 生物医学信息和数据科学的范围； 4）对使用长期影响的研究项目 信息以改善临床实践，生活科学和以患者为中心的结果； 5）为学生做好准备 用于研究生院以及STEM研究的未来职业。