I/UCRC: Center for Visual and Decision Informatics (CVDI) Site at SUNY Stony Brook

该奖项旨在将纽约州立大学石溪分校（SBU）添加到视觉与决策信息学中心（CVDI），作为第二阶段的大学站点。CVDI以行业为中心的国家级研究项目旨在开展多学科、跨机构、竞争前研究，并在数据科学、大数据、分析、数据采集和管理以及数据可视化方面开发下一代技术，所有这些都对信息的分析和解释方式具有巨大的变革性影响。研究人员将为一系列市场部门提供实用的解决方案，包括医疗保健、能源、商业智能、计算法、银行、信息技术、网络和国土安全、交通、制造业和物联网。CVDI吗?美国的研究及其相关活动将(1)在国家优先领域产生社会效益，如卫生和保健、网络和国土安全以及能源；(2)通过大数据和数据科学的创新为行业和政府提供价值，并使其具有全球竞争力，从而影响区域和国家经济；(3)推进教育和学生培训，以创造未来的劳动力，特别是SBU的数据科学与工程硕士专业（DSE）；(4)通过培训、教育和外展吸引女性和未被充分代表的少数族裔。纽约州立大学石溪分校将利用视觉分析、沉浸式分析、自然语言处理、机器学习、计算机视觉、社交媒体分析、几何/拓扑分析、可视化、人机交互、虚拟/增强现实、游戏化、知识管理、系统和存储优化、无线和移动计算、数据流、信息检索、高性能计算和创新算法来解决关键研究挑战。

This award seeks to add SUNY Stony Brook (SBU) to the Center for Visual and Decision Informatics (CVDI) as a Phase II university site. The industry-centric national-scale research program at CVDI seeks to conduct multi-disciplinary, cross-institutional, pre-competitive research and develop the next generation technologies in data science, big data, analytics, data acquisition and management, and data visualization, all of which have large potential for transformative impact on how information is analyzed and interpreted. Researchers will produce practical solutions for a range of market sectors including healthcare, energy, business intelligence, computational law, banking, information technology, cyber and homeland security, transportation, manufacturing, and internet of things. CVDI?s research along with its associated activities will (1) generate societal benefits in areas of national priority such as health and wellness, cyber and homeland security, and energy; (2) impact regional and national economy in terms of delivering value to both industry and government through innovation in big data and data science by making them globally competitive; (3) advance education and student training to create future workforce, specifically the MS Specialization in Data Science & Engineering (DSE) at SBU, and (4) engage women and underrepresented minorities through training, education and outreach.Key research challenges will be addressed by SUNY at Stony Brook using visual analytics, immersive analytics, natural language processing, machine learning, computer vision, social media analytics, geometric/topological analytics, visualization, human-computer interaction, virtual/augmented reality, gamification, knowledge management, system and storage optimization, wireless and mobile computing, data streaming, information retrieval, high performance computing, and innovative algorithms.