Planning Grant: I/UCRC: Center for Dynamic Data Analytics (CDDA)

0934379罗格斯大学; Dimitris Metaxas 0934343 Arie考夫曼;纽约州立大学斯托尼布鲁克分校 动态数据分析中心（CDDA）将专注于推进大规模多维动态数据的知识和理解。 罗格斯大学（RU）和纽约州立大学斯托尼布鲁克分校正在合作建立拟议中的中心，以RU为牵头机构。 拟建中心将研究分析和可视化海量、复杂、多维和多尺度动态数据的算法和潜在解决方案。 算法设计将在两所参与大学和行业之间的密切合作和研究的基础上进行测试，验证和改进。 RU和SUNY计划使用NSF规划补助基金与潜在的工业合作伙伴举行会议，并为CDDA制定一个具有足够商业利益的初步研究议程，与会者将愿意投资并维持该中心。 参与的大学有研究和教育计划，其优势涵盖了中心的技术范围。拟议的研究项目将对工业和国土安全有用，拟议的中心将改变计算机科学的传统研究。 大规模动态数据的分析和可视化也将成为许多研究生的新研究领域。 CDDA计划让学生在学年期间以暑期实习的形式与工业附属机构呆在一起，以便他们提高技能。参与的大学还计划利用其机构现有的外展计划和NSF赞助的计划，以鼓励代表性不足的群体参与我们的研究。在规划赠款期间，PI将寻求扩大参与的几种途径，包括与地方和国家外展计划的伙伴关系机会。

0934379 Rutgers University; Dimitris Metaxas0934343 Arie Kaufman; SUNY at Stony Brook The Center for Dynamic Data Analysis (CDDA) will focus on advancing knowledge and understanding of large-scale, multidimensional dynamic data. Rutgers University (RU) and SUNY at Stony Brook are collaborating to establish the proposed center, with RU as the lead institution. The proposed Center will investigate algorithms and potential solutions to analyze and visualize massive, complex, multidimensional and multi-scale dynamic data. The algorithm design will be tested, validated and improved based on the close collaboration and research between the two participating universities and industry. RU and SUNY plan to use the NSF planning grant fund to hold a meeting with prospective industrial partners, and to develop an initial research agenda for CDDA of sufficient commercial interest that attendees will be willing to invest in and sustain the Center. The participating universities have research and education programs whose strengths cover the technical scope of the center.The proposed research projects will be useful to industry and homeland security, and the proposed Center will transform traditional research in computer science. Analysis and visualization of large-scale dynamic data will also become a new area of research for many graduate students. CDDA plans to have students spend time with the industrial affiliates in the form of summer internships and during the academic year so they can improve their skills. The participating universities also plan to leverage existing outreach programs at their institutions, and programs sponsored by the NSF, to encourage the participation of under-represented groups in our research. For the duration of the planning grant the PIs will pursue several avenues for broadening participation, including partnership opportunities with local and national outreach programs.