Phase II IUCRC UNC Charlotte Site: Center for Visual and Decision Informatics (CVDI)
Phase II IUCRC UNC Charlotte Site: Center for Visual and Decision Informatics (CVDI)
批准号:
1747785
负责人:
Wenwen Dou
金额:
$39.96万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-03-01 至 2023-02-28
中文摘要
视觉和决策信息学中心(CVDI)专注于开发高级视觉和决策支持工具和技术,使决策者能够改进组织信息的解释和利用方式。该奖项将在北卡罗来纳大学夏洛特分校创建一个CVDI网站,专注于与金融服务、医疗保健和社会公益领域的风险缓解相关的数据科学和大数据分析研究。金融服务和医疗保健,以及能源、零售和物流是夏洛特经济的关键部门。另一方面,社会公益是夏洛特社区目前面临的一个重要问题。社会公益分析可以帮助社区努力改善其公民的生活条件,这将对雇主的整体劳动力准备产生积极影响。这一贡献将通过新的数据收集机制和已执行政策的长期成果来衡量。最终结果将是行业更具弹性,经济发展更快,社会资本增加,社会各界的经济流动性更强。该奖项的研究团队唯一专注于发展长期研究、理解和记录风险的能力,以及创造解释和预测此类风险的工具和应用程序。这将通过应用数据和分析驱动的技术来实现,包括但不限于数据和分析平台、高级可视化技术、人工智能和深度学习算法、基于代理的建模和仿真、网络科学分析和系统动力学方法。在接下来的5年里,该网站将致力于将北卡罗来纳大学夏洛特分校转变为国家创新和创意中心,造福行业和社会。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The Center for Visual and Decision Informatics (CVDI) focuses on developing advanced visual and decision support tools and techniques that enable decision makers to improve the way organizations' information is interpreted and exploited. This award will create a CVDI Site at the University of North Carolina, Charlotte, which will focus on data science and big data analytics research related to risk mitigation in financial services, healthcare, and social good. Financial services and healthcare, along with energy, retail, and logistics are the key sectors of Charlotte's economy. On the other hand, social good is an important issue currently facing Charlotte community. Social good analytics can aid the community's effort to improve living conditions of its citizens, which will positively influence the overall workforce readiness for employers. This contribution will be measured in novel data collection mechanisms and long-term outcomes of implemented policies. The net effect will be more resilient industry, increased economic development, increased social capital, and increased economic mobility in all segments of the community.The researcher team on this award is uniquely focused on developing long-term capability for researching, understanding, and documenting risk, as well as creating tools and applications for explaining and predicting such risks. This will be accomplished through the application of data- and analytics-driven technologies, including, but not limited to, data and analytics platform, advanced visualization techniques, artificial intelligence and deep-learning algorithms, agent-based modeling and simulation, network science analysis, and systems dynamics methods. Over the next 5 years, this Site will seek to transform UNC Charlotte into the national hub of innovation and creativity for the benefit of industry and the society.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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会议论文
Collaborative Research: SaTC: CORE: Medium: Information Integrity: A User-centric Intervention
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批准号:2323795
-
项目类别:Standard Grant
-
资助金额:$21.7万
-
财政年份:2023
-
负责人:Wenwen Dou
-
依托单位:
PFI-TT: Artificial Intelligence System for Enterprise Performance Management that Integrates Causal Analytics and Human Expertise
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批准号:2141124
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项目类别:Standard Grant
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资助金额:$25.0万
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财政年份:2022
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负责人:Wenwen Dou
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依托单位:
I-Corps: Knowledge Graph Embeddings-based Explainable Artificial Intelligence for Enterprise Performance Management
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批准号:2102803
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项目类别:Standard Grant
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资助金额:$5.0万
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财政年份:2021
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负责人:Wenwen Dou
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依托单位:
国内基金
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