Happiness and Big Data – Theoretical Foundation and Empirical Insights for Africa

Anke Joubert, Matthias Murawski, Julian Bühler, Markus Bick

Open source

DOI: 10.1007/978-3-030-44999-5_37
Published: 2020
Container: Lecture Notes in Computer Science
Publisher: Springer International Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/978-3-030-44999-5_37,
  title = {Happiness and Big Data – Theoretical Foundation and Empirical Insights for Africa},
  author = {Anke Joubert and Matthias Murawski and Julian Bühler and Markus Bick},
  year = {2020},
  journal = {Lecture Notes in Computer Science},
  doi = {10.1007/978-3-030-44999-5_37},
  url = {https://doi.org/10.1007/978-3-030-44999-5_37}
}

RIS

TY  - JOUR
TI  - Happiness and Big Data – Theoretical Foundation and Empirical Insights for Africa
AU  - Anke Joubert
AU  - Matthias Murawski
AU  - Julian Bühler
AU  - Markus Bick
PY  - 2020
JO  - Lecture Notes in Computer Science
DO  - 10.1007/978-3-030-44999-5_37
UR  - https://doi.org/10.1007/978-3-030-44999-5_37
ER  -

APA

Joubert, A., Murawski, M., Bühler, J., & Bick, M. (2020). Happiness and Big Data – Theoretical Foundation and Empirical Insights for Africa. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-44999-5_37

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crossref · retrieved 2026-09-25T17:09:17.537Z