Skip to main content
EPJ Data Science
Download PDF

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

EPJ Data Science volume 6, Article number: 8 (2017) Cite this article

The Original Article was published on 16 May 2017

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.

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

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute for Data, Systems and Society, Massachusetts Institute of Technology, 50 Ames Street, E18-407A, Cambridge, MA, 02142, USA

    Eaman Jahani & Alex ‘Sandy’ Pentland

  2. Telenor Research, Snarøyveien 30, Oslo, 1331, Norway

    Pål Sundsøy & Johannes Bjelland

  3. Flowminder, Roslagsgatan, Stockholm, Sweden

    Linus Bengtsson

  4. Department of Public Health Sciences, Karolinska Institute, SE-171 77, Stockholm, Sweden

    Linus Bengtsson

  5. Media Lab, Massachusetts Institute of Technology, 20 Ames Street, E14, Cambridge, MA, 02142, USA

    Alex ‘Sandy’ Pentland & Yves-Alexandre de Montjoye

  6. Department of Computing, Imperial College London, 180 Queens Gate, London, SW7 2RH, UK

    Yves-Alexandre de Montjoye

  7. Data Science Institute, William Penney Laboratory, Imperial College London, London, SW7 2RH, UK

    Yves-Alexandre de Montjoye

Authors
  1. Eaman Jahani
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pål Sundsøy
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Johannes Bjelland
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Linus Bengtsson
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Alex ‘Sandy’ Pentland
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Yves-Alexandre de Montjoye
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Eaman Jahani.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The online version of the original article can be found under doi:10.1140/epjds/s13688-017-0099-3.

Rights and permissions

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.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Jahani, E., Sundsøy, P., Bjelland, J. et al. Erratum to: Improving official statistics in emerging markets using machine learning and mobile phone data. EPJ Data Sci. 6, 8 (2017). https://doi.org/10.1140/epjds/s13688-017-0106-8

Download citation

  • Received:

  • Accepted:

  • Published:

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