I/UCRC Phase I: Center for the Visual and Decision Informatics (CVDI)

I/UCRC视觉与决策信息学（CVDI） 1160958路易斯安那大学拉斐特分校；拉格万1160960德雷克塞尔大学；视觉决策信息学中心（CVDI）将开发利用现代计算机硬件和软件的新的视觉和分析方法，并开发可应用于复杂的基于数据的决策过程的分析和发现工具。路易斯安那大学拉斐特分校（University of Louisiana at Lafayette）和德雷塞尔大学（Drexel University）正在合作建立这个拟议中的中心，由德雷塞尔大学担任牵头机构。该中心将汇集分析、视觉和感知技术，通过推进信息、可视化、视觉分析和自动化分析领域的最新技术，为工业和政府的决策者提供支持。该中心的研究议程将由信息集成和决策支持系统、决策信息学中的3D内容创建和管理、沉浸式可视化以及用于劳动力培训和教育的人机交互技术的应用驱动。为了确保研究活动具有变革性，通过研究开发的软件原型和框架将通过与行业伙伴的密切合作在多个应用环境中进行测试。拟议的中心活动将提高美国工业在利用数据提供循证决策支持的问题和机会方面的国际竞争力。该中心将通过采用数据驱动的决策过程，帮助其潜在成员实现更高的生产力，并将通过中心研究成果的出版和传播，影响更广泛的美国工业。两所大学都致力于包容代表性不足的群体，并制定了积极的计划来解决多样性问题。该中心还打算促进、催化和加速技术创新的商业化。

I/UCRC for Visual and Decision Informatics (CVDI) 1160958 University of Louisiana at Lafayette; Raghavan 1160960 Drexel University; Hu The Center for Visual Decision Informatics (CVDI) will develop new visual and analytic methods that leverage modern computer hardware and software, and develop analysis and discovery tools that can be applied to complex data-based decision-making process. The University of Louisiana at Lafayette (UL) and Drexel University (DU) are collaborating to establish the proposed center, with UL as the lead institution. The proposed center will bring together analytic, visual, and perceptual techniques in order to support decision makers in industry and government by advancing the state-of-the-art in the research fields of Information, Visualization, Visual Analytics, and Automated Analysis. The proposed center's research agenda will be driven by the applications of information integration and decision support systems, 3D content creation and management in decision informatics, immersive visualizations, and human computer interaction technologies for training and education of workforce. To ensure that the research activities are transformative, software prototypes and frameworks developed through research will be tested in several application contexts by close collaboration with industry partners. The proposed center activities will enhance the international competitiveness of the American industry in the problems and opportunities of leveraging data for evidence-based decision support. The center will help its potential members achieve higher productivity gains through the adopted data-driven decision making process, and will also impact the broader American industry through the publication and dissemination of the center's research results. Both universities are committed to including underrepresented groups and have active plans for addressing diversity. The center also intends to promote, catalyze, and accelerate the commercialization of technology innovations.