Big Data Analytics Emerging Scholar (e-Scholar) Program for Minority Students

少数民族学生大数据分析新兴学者(e-Scholar)计划

基本信息

  • 批准号:
    10554786
  • 负责人:
  • 金额:
    $ 31.33万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-06-08 至 2028-05-31
  • 项目状态:
    未结题

项目摘要

ABSTRACT With the increase of healthcare-related Big Data, such as electronic health records (EHR), social media, wearable devices, genomic data, and other digital records of information pertinent to individual and population health, Big Data science has brought forth revolutionary advancements in many areas of health sciences, including infectious disease research. However, the potential of Big Data in healthcare research has not been fully realized due to challenges in data acquisition, analysis, and interpretation. One such challenge is the nationwide shortage of a workforce with the necessary knowledge, competencies, and skills of Big Data analytics (BDA), especially a workforce with diverse backgrounds such as racial and ethnic minorities. A promising approach to increase the diversity of the BDA workforce in infectious disease areas is to promote BDA research training and education among students from diverse backgrounds in the early stages of their academic training. In response to PAR-21-258, “NIAID Research Education Program Advancing the Careers of a Diverse Research Workforce”, we propose this R25 emerging scholar (R25 e-Scholar) training program for minority undergraduate students to foster their interests and competencies in BDA research in infectious disease areas. As an important stage of the workforce development pipeline, the undergraduate training program for racial and ethnic minority students will contribute to addressing the nationwide shortage of a diverse data science workforce in NIAID-focused areas. The proposed R25 e-Scholar program will recruit 12 racial/ethnic minority undergraduate students annually from three public universities (University of South Carolina, Clemson University, and the College of Charleston) and three Historically Black Colleges and Universities (HBCUs) (South Carolina State University, Claflin University, and Benedict College) in South Carolina and provide students with interdisciplinary mentoring, comprehensive curriculum-based training, and hands-on research exposure and experience. The program will provide trainees with interdisciplinary mentoring, including team and peer mentoring. Each student will be mentored by at least one faculty member in Big Data or health science, and at least one racial/ethnic minority faculty member will serve as a career- focused role model for the student. Through the mentoring process, students will gain comprehensive research and professional development training, including responsible conduct of research, manuscript writing, and presentations at local or national conferences. The program will offer comprehensive curriculum-based training via a four-week intensive summer institute in areas of BDA, infectious disease, public health research, and professional development. The program will engage trainees in hands-on Big Data research for exposure and experience in Big Data processing, analysis, visualization, and interpretation in the context of infectious disease research. Trainees will participate in ongoing and future NIAID/NIH-funded or intramurally funded Big Data research projects. Upon completion, these students will be inspired and equipped with confidence in pursuing a postgraduate program or career in Big Data-focused infectious disease research. The training program will foster a more diverse research environment at UofSC and across the state and encourage minority undergraduate students to pursue Big Data research in the prevention, treatment, discovery, prediction, and forecasting of HIV, COVID-19, and other infectious, immunologic, and allergic diseases.
抽象的 随着与医疗保健相关的大数据的增加,例如电子健康记录(EHR),社交媒体, 可穿戴设备,基因组数据和其他与个人和人群有关的信息的数字记录 健康,大数据科学在许多健康科学领域都提出了革命性的进步, 包括传染病研究。但是,医疗保健研究中大数据的潜力并非 由于数据获取,分析和解释的挑战,完全实现了。一个这样的挑战是 全国范围内的劳动力短缺,具有必要的知识,能力和大数据技能 分析(BDA),尤其是具有种族和少数民族等潜水员背景的劳动力。一个 有希望增加BDA劳动力在传染病领域的多样性的有希望的方法是促进 在他们的早期阶段,来自潜水员背景的学生的BDA研究培训和教育 学术培训。为了回应PAR-21-258,“ NIAID研究教育计划促进了职业 我们为这项R25新兴科学(R25 E-Scholar)培训计划提出了多元化的研究劳动力。” 少数族裔本科生,以促进他们在BDA研究中的兴趣和能力 疾病地区。作为劳动力发展管道的重要阶段,本科培训 种族和少数民族学生的计划将有助于解决全国范围内的短缺 以NIAID为重点的地区的多样化数据科学劳动力。拟议的R25 E-Scholar计划将招募12 每年来自三所公立大学的种族/族裔少数民族本科生(南方大学 卡罗来纳州,克莱姆森大学和查尔斯顿学院)和三所历史上的黑人大学 南卡罗来纳州立大学,克拉夫林大学和本尼迪克特学院的大学(HBCUS)在南方 卡罗来纳州并为学生提供跨学科的心理,全面的基于课程的培训, 以及动手研究的曝光和经验。该计划将为受训者提供跨学科 指导,包括团队和同伴指导。每个学生将由至少一名教职员工指导 在大数据或健康科学领域,至少一名种族/少数民族教师将成为职业 - 学生的重点榜样。通过心理过程,学生将获得全面的研究 和专业发展培训,包括负责任的研究,手稿写作和 在地方或民族会议上的演讲。该计划将提供全面的基于课程的 通过在BDA,传染病,公共卫生研究,公共卫生研究的四个星期密集的夏季研究所进行培训 和专业发展。该计划将吸引受训者进行大数据研究以进行暴露 以及在传染性的背景下进行大数据处理,分析,可视化和解释的经验 疾病研究。受训人员将参加持续和未来的NIAID/NIH资助或由壁内资助 大数据研究项目。完成后,这些学生将受到启发和装备 从事以大数据为中心的传染病研究中的研究生计划或职业。培训 计划将在UOFSC和全州培养更多样化的研究环境,并鼓励少数民族 本科生在预防,治疗,发现,预测和 对艾滋病毒,共同-19和其他感染性,免疫学和过敏性疾病的预测。

项目成果

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Xiaoming Li其他文献

Xiaoming Li的其他文献

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{{ truncateString('Xiaoming Li', 18)}}的其他基金

University of South Carolina Big Data Health Science Conference
南卡罗来纳大学大数据健康科学会议
  • 批准号:
    10751656
  • 财政年份:
    2023
  • 资助金额:
    $ 31.33万
  • 项目类别:
Visualizing and predicting new and late HIV diagnosis in South Carolina: A Big Data approach
可视化和预测南卡罗来纳州新的和晚期的艾滋病毒诊断:大数据方法
  • 批准号:
    10815140
  • 财政年份:
    2023
  • 资助金额:
    $ 31.33万
  • 项目类别:
Informatics Approach to Identification and Deep Phenotyping of PASC Cases
PASC 病例识别和深度表型分析的信息学方法
  • 批准号:
    10574753
  • 财政年份:
    2022
  • 资助金额:
    $ 31.33万
  • 项目类别:
Utilizing All of Us data to examine the impact of COVID-19 on mental health among people living with HIV
利用 All of Us 数据研究 COVID-19 对 HIV 感染者心理健康的影响
  • 批准号:
    10657875
  • 财政年份:
    2022
  • 资助金额:
    $ 31.33万
  • 项目类别:
Curating a Knowledge Base for Individuals with Coinfection of HIV and SARS-CoV-2: EHR-based Data Mining
为 HIV 和 SARS-CoV-2 混合感染者打造知识库:基于 EHR 的数据挖掘
  • 批准号:
    10481286
  • 财政年份:
    2022
  • 资助金额:
    $ 31.33万
  • 项目类别:
Curating a Knowledge Base for Individuals with Coinfection of HIV and SARS-CoV-2: EHR-based Data Mining
为 HIV 和 SARS-CoV-2 混合感染者打造知识库:基于 EHR 的数据挖掘
  • 批准号:
    10665078
  • 财政年份:
    2022
  • 资助金额:
    $ 31.33万
  • 项目类别:
Informatics Approach to Identification and Deep Phenotyping of PASC Cases
PASC 病例识别和深度表型分析的信息学方法
  • 批准号:
    10696087
  • 财政年份:
    2022
  • 资助金额:
    $ 31.33万
  • 项目类别:
Big Data Health Science Fellow Program in Infectious Disease Research
传染病研究大数据健康科学研究生计划
  • 批准号:
    10666508
  • 财政年份:
    2021
  • 资助金额:
    $ 31.33万
  • 项目类别:
Big Data Health Science Fellow Program in Infectious Disease Research
传染病研究大数据健康科学研究生计划
  • 批准号:
    10311679
  • 财政年份:
    2021
  • 资助金额:
    $ 31.33万
  • 项目类别:
Big Data Health Science Fellow Program in Infectious Disease Research
传染病研究大数据健康科学研究生计划
  • 批准号:
    10897421
  • 财政年份:
    2021
  • 资助金额:
    $ 31.33万
  • 项目类别:

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