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

EPJ Data Sciencevolume 6, Article number: 8 (2017) | Download Citation

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

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. 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

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Author information

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

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Corresponding author

Correspondence to Eaman Jahani.

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

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