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
基本信息
- 批准号:10751656
- 负责人:
- 金额:$ 2万
- 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:2023-09-01 至 2028-05-31
- 项目状态:未结题
- 来源:
- 关键词:AcademiaAcademic TrainingAddressAgingAreaAuthorization documentationBig DataBig Data MethodsCOVID-19Case ManagerCommunicationComplexComputer softwareDataData ScienceData ScientistDevelopmentDiseaseDisease OutbreaksEcosystemEducational workshopEnsureEventFundingFutureGenerationsGoalsGovernmentGrowthHealthHealth SciencesHealthcareHealthcare IndustryHealthcare SystemsHumanIndustryInstitutionInterdisciplinary StudyInvestmentsKnowledgeLegalMentorsMethodologyMethodsMissionModernizationOutputPatientsPatternPharmacologic SubstancePoliciesPolicy MakerPoliticsPopulationProviderPublicationsPublished CommentPublishingRequest for ApplicationsResearchResearch PersonnelScientific Advances and AccomplishmentsSeriesShapesSourceSouth CarolinaStrategic PlanningStudentsSystemTalentsTechnologyTrainingUnited States National Institutes of HealthUnited States National Library of MedicineUniversitiesVisualization softwareWorkforce Developmentanalytical toolauthoritybiomedical data scienceclimate changecommunity engagementcostdata infrastructuredata managementdata resourcedisorder preventionexperienceglobal healthhealth disparityhealth practicehealth science researchimprovedinnovationleadership developmentminority investigatormultidisciplinarynext generationnovel strategiesskillssuccesssymposiumtool
项目摘要
Abstract
This application requests R13 funding support to the National Big Data Health Science Conferences at University
of South Carolina (USC) for five years (2024-2028). This conference is a signature event of the USC Big Data
Health Science Center (BDHSC). BDHSC is an intramurally funded interdisciplinary enterprise established in
April 2019 that promotes and supports Big Data health science research at USC and across the state through
capacity development, academic training, professional development, community engagement, and
methodological advancement. Building on our successful experience with 4 intramurally-supported conferences
(2020-2023), the overall goal of this R13 is to stimulate further advancements in Big Data health science research
through rich interdisciplinary and multidisciplinary collaboration. Consistent with its overarching goal, the
conference will: (1) create a multidisciplinary scientific venue for the exchange of new concepts, methods, and
results to encourage the sharing of theoretical, methodological, and substantive knowledge from Big Data health
science research; (2) identify new issues that are, to date, understudied in this area, and then generate, promote,
and support innovation in BDHS; (3) expand impact and scholarly excellence by producing new and
interdisciplinary publications; and (4) promote inclusive excellence in training and mentoring opportunities by
engaging and supporting underrepresented junior investigators and students in the conference. This proposed
conference aligns with the objectives of the NIH-Wide Strategic Plan for FY 2021-2025 as well as the mission of
the Office of Data Science Strategy, National Library of Medicine, and other NIH Institutes, Centers, and Officers.
The 5-year Big Data Health Science conference series will contribute to NIH’s five pillars described in its Strategic
Plan for Data Science - support a highly efficient and effective data infrastructure; promote modernization of the
data-resources ecosystem; support development and dissemination of advanced data management, analytics,
and visualization tools; enhance workforce development for biomedical data science; and enact appropriate
policies to promote stewardship and sustainability.
抽象的
本申请请求R13资助全国大学大数据健康科学会议
南卡罗来纳大学(USC)为期五年(2024-2028)的这次会议是南加州大学大数据的标志性活动。
健康科学中心(BDHSC)是一家内部资助的跨学科企业。
2019 年 4 月,通过以下方式促进和支持南加州大学和全州的大数据健康科学研究
能力发展、学术培训、专业发展、社区参与和
以我们 4 次校内支持会议的成功经验为基础。
(2020-2023),本次R13的总体目标是促进大数据健康科学研究的进一步进步
通过丰富的跨学科和多学科合作,与其总体目标相一致。
会议将:(1)创建一个多学科的科学场所,用于交流新概念、新方法和新技术
结果鼓励分享健康大数据的理论、方法和实质性知识
科学研究;(2)确定迄今为止该领域尚未研究的新问题,然后产生、促进、
支持 BDHS 的创新;(3) 通过产生新的和
跨学科出版物;(4) 通过以下方式促进培训和指导机会的包容性卓越:
吸引和支持代表性不足的初级研究人员和学生参加会议。
会议符合 NIH 2021-2025 财年战略计划的目标以及
数据科学战略办公室、国家医学图书馆以及其他 NIH 研究所、中心和官员。
为期 5 年的大数据健康科学会议系列将为 NIH 在其战略报告中描述的五个支柱做出贡献
数据科学计划——支持高效的数据基础设施;促进现代化
数据资源生态系统;支持先进数据管理、分析、
和可视化工具;加强生物医学数据科学的劳动力发展;并制定适当的措施;
促进管理和可持续性的政策。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Xiaoming Li其他文献
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{{ truncateString('Xiaoming Li', 18)}}的其他基金
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少数民族学生大数据分析新兴学者(e-Scholar)计划
- 批准号:
10554786 - 财政年份:2023
- 资助金额:
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Visualizing and predicting new and late HIV diagnosis in South Carolina: A Big Data approach
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10815140 - 财政年份:2023
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为 HIV 和 SARS-CoV-2 混合感染者打造知识库:基于 EHR 的数据挖掘
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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:
$ 2万 - 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:
$ 2万 - 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:
$ 2万 - 项目类别:
Utilizing All of Us data to examine the impact of COVID-19 on mental health among people living with HIV
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- 批准号:
10657875 - 财政年份:2022
- 资助金额:
$ 2万 - 项目类别:
Multilevel Determinants of Racial and Ethnic Disparities in Maternal Morbidity and Mortality in the Context of COVID-19 Pandemic
COVID-19 大流行背景下孕产妇发病率和死亡率的种族和民族差异的多层次决定因素
- 批准号:
10392607 - 财政年份:2021
- 资助金额:
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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:
$ 2万 - 项目类别:
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