NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets

L. Singh, A. Deshpande, Wenchao Zhou, A. Banerjee, Alex J. Bowers, Sorelle A. Friedler, H. Jagadish, G. Karypis, Z. Obradovic, A. Vullikanti, W. Zuo
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引用次数: 4

Abstract

In March 2017, PIs and co-PIs funded through the NSF BIGDATA program were brought together along with selected industry and government invitees to discuss current research, identify current challenges, discuss promising future directions, foster new collaborations, and share accomplishments, at BDPI-2017. Given that two recent NITRD [2] and NSF [1] meeting reports contained a set of recommendations, grand challenges, and high impact priorities for Big Data, the organizers of this meeting shifted the focus of the breakout sessions to discuss problems and available data sets that exist in five application domains - policy, health, education, economy & finance, and environment & energy. These domains were selected based on a survey of the PIs/co-PIs and should not be interpreted as being more important than others. Slides that were presented by the different breakout group leaders are available at https://www.bi.vt.edu/ nsf-big-data/. We hope this report will serve as a blueprint for promising big data research in five application domains.
NSF BIGDATA PI会议-特定领域的研究方向和数据集
2017年3月,在BDPI-2017上,由NSF大数据计划资助的pi和联合pi与选定的行业和政府受邀者一起讨论当前的研究,确定当前的挑战,讨论有希望的未来方向,促进新的合作,并分享成就。鉴于最近两次NITRD[2]和NSF[1]会议报告包含了大数据的一系列建议、重大挑战和高影响优先事项,本次会议的组织者将分组会议的重点转移到讨论存在于五个应用领域的问题和可用数据集——政策、健康、教育、经济与金融、环境与能源。这些领域是根据对pi /co- pi的调查选择的,不应被解释为比其他领域更重要。不同分组组长展示的幻灯片可以在https://www.bi.vt.edu/ nsf-big-data/上找到。我们希望这份报告能成为大数据在五个应用领域研究前景的蓝图。
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