ITU is helping countries move from learning about the potential of
mobile phone data to developing the practical skills needed to use them.
In less than a year, nearly 200 participants have received hands-on training using the
ITU Jupyter Notebook toolkit, working step by step through the full analytical process. This ranges from preparing and cleaning raw mobile network data and checking data quality to producing information society indicators and assessing and adjusting for potential biases. The practical, code-based approach allows participants to work directly with methods and tools they can adapt to their own national contexts.
Hundreds more have taken part in workshops and webinars on mobile phone data analytics, covering how indicators can be produced as well as the methodological choices, data-quality issues and potential sources of bias involved. Together, these activities are helping countries move from methodological guidance to practical implementation — and turn complex mobile network data into robust and meaningful statistics.