D4D-Senegal: The Second Mobile Phone Data for Development Challenge
Not on the map. Why?
Abstract (arXiv)
The D4D-Senegal challenge is an open innovation data challenge on anonymous call patterns of Orange's mobile phone users in Senegal. The goal of the challenge is to help address society development questions in novel ways by contributing to the socio-economic development and well-being of the Senegalese population. Participants to the challenge are given access to three mobile phone datasets. This paper describes the three datasets. The datasets are based on Call Detail Records (CDR) of phone calls and text exchanges between more than 9 million of Orange's customers in Senegal between January 1, 2013 to December 31, 2013. The datasets are: (1) antenna-to-antenna traffic for 1666 antennas on an hourly basis, (2) fine-grained mobility data on a rolling 2-week basis for a year with bandicoot behavioral indicators at individual level for about 300,000 randomly sampled users, (3) one year of coarse-grained mobility data at arrondissement level with bandicoot behavioral indicators at individual level for about 150,000 randomly sampled users
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Jul 2014.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 2; 2023: 1; 2024: 0; 2025: 1.
4 papers.
- 2023Differentially Private Diffusion Models Generate Useful Synthetic Imagescited by 85
- 2022Fairness in Federated Learning for Spatial-Temporal Applicationscited by 2
- 2025Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Citiescited by 2
- 2022Explainability in Practice: Estimating Electrification Rates from Mobile Phone Data in Senegalcited by 0
- 2025Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities21 May 2025
- 2023Differentially Private Diffusion Models Generate Useful Synthetic Images27 Feb 2023
- 2022Explainability in Practice: Estimating Electrification Rates from Mobile Phone Data in Senegal11 Nov 2022
- 2022Fairness in Federated Learning for Spatial-Temporal Applications17 Jan 2022