Research for Global Development

We’re doing the Orange D4D challenge


InterMedia researchers are taking part in the Orange D4D Challenge, analysing 2.5 billion calls and text messages exchanged between 5 million anonymous users.

Orange “Data for Development” – D4D – is an open data challenge, encouraging research teams around the world to use four datasets of anonymous call patterns of Orange’s Ivory Coast subsidiary, to help address society development questions in novel ways. The data sets are based on anonymized Call Detail Records extracted from Orange’s customer base, covering the months of December 2011 to April 2012.

The dataset

From the Orange phones calls in Ivory Cost during 5 month (from December 2011 to April 2012) four datasets have been released in order to offer a large spectrum of possible analyses:

  • Aggregate communication between cell towers;
  • Mobility traces: fine resolution dataset;
  • Mobility traces: coarse resolution dataset;
  • Communication sub-graphs.

According to organisers:

The challenge has generated an enthusiasm exceeding our expectations: more than 200 teams have introduced projects. The projects are very diverse and we expect them to lead to exciting results.

We’ll keep you updated as we make progress with our project.

 

 

 

InterMedia

We’re doing the Orange D4D challenge


InterMedia researchers are taking part in the Orange D4D Challenge, analysing 2.5 billion calls and text messages exchanged between 5 million anonymous users.

Orange “Data for Development” – D4D – is an open data challenge, encouraging research teams around the world to use four datasets of anonymous call patterns of Orange’s Ivory Coast subsidiary, to help address society development questions in novel ways. The data sets are based on anonymized Call Detail Records extracted from Orange’s customer base, covering the months of December 2011 to April 2012.

The dataset

From the Orange phones calls in Ivory Cost during 5 month (from December 2011 to April 2012) four datasets have been released in order to offer a large spectrum of possible analyses:

  • Aggregate communication between cell towers;
  • Mobility traces: fine resolution dataset;
  • Mobility traces: coarse resolution dataset;
  • Communication sub-graphs.

According to organisers:

The challenge has generated an enthusiasm exceeding our expectations: more than 200 teams have introduced projects. The projects are very diverse and we expect them to lead to exciting results.

We’ll keep you updated as we make progress with our project.

 

 

 

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