Open Access

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

  • Eaman Jahani1Email author,
  • Pål Sundsøy2,
  • Johannes Bjelland2,
  • Linus Bengtsson3, 4,
  • Alex ‘Sandy’ Pentland1, 5 and
  • Yves-Alexandre de Montjoye5, 6, 7
EPJ Data Science20176:8

https://doi.org/10.1140/epjds/s13688-017-0106-8

Received: 1 June 2017

Accepted: 1 June 2017

Published: 8 June 2017

The original article was published in EPJ Data Science 2017 6:3

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

Declarations

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’ Affiliations

(1)
Institute for Data, Systems and Society, Massachusetts Institute of Technology
(2)
Telenor Research
(3)
Flowminder
(4)
Department of Public Health Sciences, Karolinska Institute
(5)
Media Lab, Massachusetts Institute of Technology
(6)
Department of Computing, Imperial College London
(7)
Data Science Institute, William Penney Laboratory, Imperial College London

References

  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 View ArticleGoogle Scholar

Copyright

© The Author(s) 2017