Big Data Analytics Emerging Scholar (e-Scholar) Program for Minority Students
Big Data Analytics Emerging Scholar (e-Scholar) Program for Minority Students
批准号:
10554786
负责人:
Xiaoming Li
金额:
$31.33万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-06-08 至 2028-05-31
关键词:
Academic TrainingActive LearningAddressAllergic DiseaseAreaBachelor&aposs DegreeBig DataBig Data MethodsBiological SciencesBusinessesCOVID-19Career MobilityCommunicable DiseasesCommunitiesCompetenceComplementComplexDataData ScienceDevelopmentDiagnosisDiverse WorkforceDoctor&aposs DegreeEducational CurriculumElectronic Health RecordEntrepreneurshipEnvironmentEthnic OriginExposure toFacultyFosteringFundingFutureGenomicsGoalsHIVHealthHealth Care ResearchHealth SciencesHealthcareHistorically Black Colleges and UniversitiesImmune System DiseasesIndividualIndustryInfectious Diseases ResearchInfrastructureKnowledgeManuscriptsMentorsMethodologyMethodsMissionModelingNational Institute of Allergy and Infectious DiseasePersonsPopulationPreventionProcessPublic HealthRaceRecordsResearchResearch Project GrantsResearch TrainingScholars ProgramSchoolsSouth CarolinaStudentsTalentsTechnologyTimeTrainingTraining ProgramsTraining and EducationUnited States National Institutes of HealthUniversitiesVisualizationWagesWorkforce DevelopmentWritingbig-data sciencecareercollegecommunity engagementcomputerized data processingdata acquisitiondigitaldiverse dataeducation researchethnic minorityethnic minority populationexperiencefinancial incentivegenomic datagraduate studenthands on researchhealth disparityhealth science researchinterestmemberminority studentminority undergraduatepeer coachingpopulation healthprogramspublic health researchracial minorityracial minority populationrecruitresponseresponsible research conductrole modelskillssocial mediasummer institutesymposiumundergraduate studentwearable device
中文摘要
摘要
随着医疗保健相关大数据的增长,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相关的信息的数字记录
健康,大数据科学在健康科学的许多领域都带来了革命性的进步,
包括传染病研究。然而,大数据在医疗研究中的潜力还没有
由于数据采集、分析和解释方面的挑战,完全实现了这一目标。其中一个挑战是
全国范围内缺乏具备大数据所需知识、能力和技能的员工
分析(BDA),特别是具有不同背景的劳动力,如种族和少数民族。一个
增加传染病地区发展局工作人员多样性的有希望的方法是促进
对来自不同背景的学生进行BDA研究、培训和教育
学术训练。为响应PAR-21-258,“NIAID研究教育计划促进
一个多元化的研究队伍“,我们建议这个R25新兴学者(R25电子学者)培训计划
培养少数民族本科生对BDA传染病研究的兴趣和能力
疫区。作为劳动力发展管道的重要阶段,本科培养
针对少数民族学生的计划将有助于解决全国范围内的学生短缺问题
在以NIAID为重点的领域中拥有多样化的数据科学工作人员。拟议的R25电子学者计划将招聘12名
三所公立大学(南方大学)每年招收的种族/少数民族本科生
卡罗莱纳大学、克莱姆森大学和查尔斯顿学院)和三所历史悠久的黑人学院和
南方大学(HBCU)(南卡罗来纳州立大学、克拉夫林大学和本尼迪克特学院)
并为学生提供跨学科指导、全面的基于课程的培训、
以及亲身实践的研究接触和经验。该计划将为学员提供跨学科的
辅导,包括团队辅导和同伴辅导。每名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,至少有一名种族/少数民族教职员工将作为职业生涯-
为学生树立有重点的榜样。通过指导过程,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
在地方或国家会议上发表演讲。该计划将提供全面的基于课程的
通过为期四周的强化暑期学院在BDA、传染病、公共卫生研究、
和职业发展。该项目将让学员参与实际操作的大数据研究,以了解情况
以及在传染病背景下的大数据处理、分析、可视化和解释方面的经验
疾病研究。受训人员将参加正在进行的和未来由NIAID/NIH资助或内部资助的
大数据研究项目。完成后,这些学生将受到启发,并对
攻读研究生课程或从事以大数据为重点的传染病研究。培训
该计划将在南加州大学和全州培养更多样化的研究环境,并鼓励少数族裔
本科生将在预防、治疗、发现、预测和
预测艾滋病毒、新冠肺炎和其他传染病、免疫性和过敏性疾病。
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
University of South Carolina Big Data Health Science Conference
-
批准号:10751656
-
项目类别:
-
资助金额:$2.0万
-
财政年份:2023
-
负责人:Xiaoming Li
-
依托单位:
Visualizing and predicting new and late HIV diagnosis in South Carolina: A Big Data approach
-
批准号:10815140
-
项目类别:
-
资助金额:$69.91万
-
财政年份:2023
-
负责人:Xiaoming Li
-
依托单位:
Informatics Approach to Identification and Deep Phenotyping of PASC Cases
-
批准号:10574753
-
项目类别:
-
资助金额:$21.79万
-
财政年份:2022
-
负责人:Xiaoming Li
-
依托单位:
Utilizing All of Us data to examine the impact of COVID-19 on mental health among people living with HIV
-
批准号:10657875
-
项目类别:
-
资助金额:$10.73万
-
财政年份:2022
-
负责人:Xiaoming Li
-
依托单位:
Curating a Knowledge Base for Individuals with Coinfection of HIV and SARS-CoV-2: EHR-based Data Mining
-
批准号:10481286
-
项目类别:
-
资助金额:$22.29万
-
财政年份:2022
-
负责人:Xiaoming Li
-
依托单位:
Informatics Approach to Identification and Deep Phenotyping of PASC Cases
-
批准号:10696087
-
项目类别:
-
资助金额:$18.04万
-
财政年份:2022
-
负责人:Xiaoming Li
-
依托单位:
Curating a Knowledge Base for Individuals with Coinfection of HIV and SARS-CoV-2: EHR-based Data Mining
-
批准号:10665078
-
项目类别:
-
资助金额:$18.57万
-
财政年份:2022
-
负责人:Xiaoming Li
-
依托单位:
Big Data Health Science Fellow Program in Infectious Disease Research
-
批准号:10666508
-
项目类别:
-
资助金额:$35.1万
-
财政年份:2021
-
负责人:Xiaoming Li
-
依托单位:
Big Data Health Science Fellow Program in Infectious Disease Research
-
批准号:10311679
-
项目类别:
-
资助金额:$35.1万
-
财政年份:2021
-
负责人:Xiaoming Li
-
依托单位:
Big Data Health Science Fellow Program in Infectious Disease Research
-
批准号:10897421
-
项目类别:
-
资助金额:$10.8万
-
财政年份:2021
-
负责人:Xiaoming Li
-
依托单位:
Big Data Health Science Fellow Program in Infectious Disease Research
-
批准号:10461949
-
项目类别:
-
资助金额:$35.1万
-
财政年份:2021
-
负责人:Xiaoming Li
-
依托单位:
Multilevel Determinants of Racial and Ethnic Disparities in Maternal Morbidity and Mortality in the Context of COVID-19 Pandemic
-
批准号:10392607
-
项目类别:
-
资助金额:$88.62万
-
财政年份:2021
-
负责人:Xiaoming Li
-
依托单位:
Mitigate the effect of HIV-related stigma through a resilience approach
-
批准号:10401515
-
项目类别:
-
资助金额:$63.03万
-
财政年份:2021
-
负责人:Xiaoming Li
-
依托单位:
BDD CIS: Big Data Driven Clinical Informatics & Surveillance - A Multimodal Database Focused Clinical, Community, & Multi-Omics Surveillance Plan for COVID19
-
批准号:10190370
-
项目类别:
-
资助金额:$62.63万
-
财政年份:2020
-
负责人:Xiaoming Li
-
依托单位:
Big Data analytics of HIV treatment gaps in South Carolina: Identification and prediction
-
批准号:10160773
-
项目类别:
-
资助金额:$58.96万
-
财政年份:2017
-
负责人:Xiaoming Li
-
依托单位:
Big Data analytics of HIV treatment gaps in South Carolina: Identification and prediction
-
批准号:9404773
-
项目类别:
-
资助金额:$65.56万
-
财政年份:2017
-
负责人:Xiaoming Li
-
依托单位:
Theory-based HIV Disclosure Intervention for Parents
-
批准号:9135005
-
项目类别:
-
资助金额:$32.39万
-
财政年份:2015
-
负责人:Xiaoming Li
-
依托单位:
Theory-based HIV Disclosure Intervention for Parents
-
批准号:8517170
-
项目类别:
-
资助金额:$33.88万
-
财政年份:2012
-
负责人:Xiaoming Li
-
依托单位:
Theory-based HIV Disclosure Intervention for Parents
-
批准号:8390381
-
项目类别:
-
资助金额:$37.58万
-
财政年份:2012
-
负责人:Xiaoming Li
-
依托单位:
Theory-based HIV Disclosure Intervention for Parents
-
批准号:8704975
-
项目类别:
-
资助金额:$33.99万
-
财政年份:2012
-
负责人:Xiaoming Li
-
依托单位:
海外基金