Building Accessible and Inclusive Paths for Students in Biomedical Informatics and Data Science

为生物医学信息学和数据科学的学生建立无障碍和包容性的道路

基本信息

项目摘要

It is estimated that up to 22 out of every 1,000 (2.2%) individuals in the United States are Deaf and Hard of Hearing (DHH). Unfortunately, DHH persons are highly underrepresented in the research community, making up less than 1% of Doctorate recipients. Moreover, only 40% of DHH adults who earned doctorates did so in the life sciences, physical sciences, or engineering compared to 78% of hearing individuals. We can find no data on the number of DHH individuals who have obtained PhDs in biomedical informatics. We believe that DHH are among the most underrepresented groups in the field. To address this disparity, the University of Pittsburgh (Pitt) and Gallaudet University (GU) will partner to create the Accessible and Inclusive Biomedical Informatics and Data Science (AIBIDS) program which is unique for its focus on empowering both DHH students and persons from other underrepresented groups in the sciences to lead biomedical informatics and data science research. AIBIDS is a partnership between the Pitt Department of Biomedical Informatics Training Program, founded in 1987 and one of the strongest biomedical informatics PhD training programs in the country, and the GU Science, Technology, Accessibility, Mathematics, and Public Health (STAMP) program, which has been producing world-class STEM baccalaureate graduates who are DHH since 1864. The program has two separate sites to broaden the research and mentoring opportunities for all students. By creating a cohesive program that allows students to either site, regardless of hearing status (GU is a bilingual ASL-English campus), the AIBIDS program will increase the inclusion and accessibility of biomedical informatics and data science research. Specific Aim 1: Provide authentic, accessible, and inclusive mentored research internships with experienced faculty and near-peer mentors to a highly diverse group of undergraduate and Masters level students. Specific Aim 2: Refine and develop curricula to support the academic, scientific, and professional development of students throughout the summer through continuous engagement. We hypothesize that the AIBIDS program will empower both DHH students and persons from other underrepresented groups in the sciences to seek PhDs in biomedical informatics and data science where they will drive the next generation of research questions and lead advances that benefit human health. The AIBIDS program will apply rigorous evaluation methods to measure the progress of participating students towards advanced biomedical informatics careers in industry and academia. The program will also measure and track participating students’ perception of the program’s inclusiveness, the accessibility of mentoring and educational activities, and the cultural awareness of faculty.
据估计,美国每 1,000 人中就有多达 22 人 (2.2%) 是聋哑人 不幸的是,DHH 人员在研究界的代表性严重不足,这使得 此外,只有 40% 的 DHH 成年人获得博士学位。 与 78% 的听力者相比,我们找不到生命科学、物理科学或工程学。 关于获得生物医学信息学博士学位的 DHH 人数的数据我们认为。 DHH 是该领域代表性最不足的群体之一,为了解决这一差距,大学。 匹兹堡(Pitt)和加劳德大学(GU)将合作创建无障碍和包容性生物医学中心 信息学和数据科学 (AIBIDS) 计划的独特之处在于它专注于增强 DHH 的能力 学生和来自其他科学领域代表性不足群体的人员领导生物医学信息学和 AIBIDS 是皮特大学生物医学信息学系之间的合作项目。 培训项目,成立于1987年,是美国最强的生物医学信息学博士培训项目之一 国家和 GU 科学、技术、无障碍、数学和公共卫生 (STAMP) 自 1864 年以来,该项目一直在培养世界一流的 STEM 学士学位毕业生,他们都是 DHH。 该项目有两个独立的站点,以扩大所有学生的研究和指导机会。 创建一个有凝聚力的计划,允许学生无论听力状况如何(GU 是双语 ASL-英语校区),AIBIDS 计划将提高生物医学的包容性和可及性 具体目标 1:提供真实、可访问且包容性的指导。 与经验丰富的教师和近同行导师一起对高度多样化的群体进行研究实习 具体目标 2:完善和开发课程以支持 通过持续不断的整个暑假,学生的学术、科学和专业发展 我们承诺 AIBIDS 计划将赋予 DHH 学生和来自其他国家的人们权力。 其他科学领域代表性不足的群体寻求生物医学信息学和数据科学博士学位 他们将推动下一代研究问题并引领造福人类健康的进步。 AIBIDS项目将采用严格的评估方法来衡量参与学生的进步 该计划还将衡量工业界和学术界的高级生物医学信息学职业。 并跟踪参与学生对项目包容性、指导的可及性和可及性的看法 教育活动和教师的文化意识。

项目成果

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Gaurav Sureshkumar Arora其他文献

Gaurav Sureshkumar Arora的其他文献

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{{ truncateString('Gaurav Sureshkumar Arora', 18)}}的其他基金

Building Accessible and Inclusive Paths for Students in Biomedical Informatics and Data Science- Sup 2
为生物医学信息学和数据科学学生建立无障碍和包容性的道路 - Sup 2
  • 批准号:
    10863039
  • 财政年份:
    2022
  • 资助金额:
    $ 13.63万
  • 项目类别:
Building Accessible and Inclusive Paths for Students in Biomedical Informatics and Data Science
为生物医学信息学和数据科学的学生建立无障碍和包容性的道路
  • 批准号:
    10705303
  • 财政年份:
    2022
  • 资助金额:
    $ 13.63万
  • 项目类别:

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Building Accessible and Inclusive Paths for Students in Biomedical Informatics and Data Science
为生物医学信息学和数据科学的学生建立无障碍和包容性的道路
  • 批准号:
    10705303
  • 财政年份:
    2022
  • 资助金额:
    $ 13.63万
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