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

Published: 27 February 2019 Publication History

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.

References

[1]
NSF BDPI-2016 Workshop Report, 2016.
[2]
L. Singh, D. Logston, S. Nusser, and H. Wactlar. NITRD BDSI-2015 Workshop Report: Spearheading Innovation in the Face of Massive Data, 2015.

Cited By

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  • (2023)Pollock: A Data Loading BenchmarkProceedings of the VLDB Endowment10.14778/3594512.359451816:8(1870-1882)Online publication date: 1-Apr-2023
  • (2021)Automation of Data Prep, ML, and Data ScienceProceedings of the 2021 International Conference on Management of Data10.1145/3448016.3457537(2878-2880)Online publication date: 9-Jun-2021

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Published In

cover image ACM SIGMOD Record
ACM SIGMOD Record  Volume 47, Issue 3
September 2018
35 pages
ISSN:0163-5808
DOI:10.1145/3316416
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 February 2019
Published in SIGMOD Volume 47, Issue 3

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Cited By

View all
  • (2023)Pollock: A Data Loading BenchmarkProceedings of the VLDB Endowment10.14778/3594512.359451816:8(1870-1882)Online publication date: 1-Apr-2023
  • (2021)Automation of Data Prep, ML, and Data ScienceProceedings of the 2021 International Conference on Management of Data10.1145/3448016.3457537(2878-2880)Online publication date: 9-Jun-2021

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