EPJ Data Science

, 6:8 | Cite as

Erratum to: Improving official statistics in emerging markets using machine learning and mobile phone data

  • Eaman Jahani
  • Pål Sundsøy
  • Johannes Bjelland
  • Linus Bengtsson
  • Alex ‘Sandy’ Pentland
  • Yves-Alexandre de Montjoye
Open Access
Erratum

1 Erratum

Upon publication of the original article [1], it was noticed that in the Availability of data materials section, the link to the code ‘https://github.com/eamanj/demographics_prediction’ was incorrectly given as ‘https://github.edu/eamanj/demographics_prediction’. This has now been acknowledged and corrected in this erratum.

Notes

References

  1. 1.
    Jahani E, Sundsøy P, Bjelland J, Bengtsson L, de Montjoye YA (2017) Improving official statistics in emerging markets using machine learning and mobile phone data. EPJ Data Sci 6:1. doi: 10.1140/epjds/s13688-017-0099-3 CrossRefGoogle Scholar

Copyright information

© The Author(s) 2017

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • Eaman Jahani
    • 1
  • Pål Sundsøy
    • 2
  • Johannes Bjelland
    • 2
  • Linus Bengtsson
    • 3
    • 4
  • Alex ‘Sandy’ Pentland
    • 1
    • 5
  • Yves-Alexandre de Montjoye
    • 5
    • 6
    • 7
  1. 1.Institute for Data, Systems and SocietyMassachusetts Institute of TechnologyCambridgeUSA
  2. 2.Telenor ResearchOsloNorway
  3. 3.FlowminderStockholmSweden
  4. 4.Department of Public Health SciencesKarolinska InstituteStockholmSweden
  5. 5.Media LabMassachusetts Institute of TechnologyCambridgeUSA
  6. 6.Department of ComputingImperial College LondonLondonUK
  7. 7.Data Science Institute, William Penney LaboratoryImperial College LondonLondonUK

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