NSF BIGDATA PI meeting – domain-specific research directions and data sets

Lisa Singh, Amol Deshpande, Wenchao Zhou, Arindam Banerjee, Alex Bowers, Sorelle Friedler, H. V. Jagadish, George Karypis, Zoran Obradovic, Anil Vullikanti, Wangda Zuo

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)32-35
Number of pages4
JournalSIGMOD Record
Volume47
Issue number3
DOIs
StatePublished - Sep 2018

Bibliographical note

Funding Information:
Acknowledgments: This meeting was supported by

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