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Cell phone data analysis: challenges and implications for transport planning

Matthew Dixon (Quantitative Analyst Consultant and Adjunct Professor of Analytics at USF)


The MIT Media Lab recently organized the "Data for Development" (D4D) challenge, releasing a big anonymized call data set from the Ivory Coast for data scientists to study. This talk will present some of the challenges in detecting mobility patterns from call data and show how open source data analytics architecture can provide an effective visualization tool for urban planners to study commute behavior.


Further details of this work are available at

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  • Wolf R.

    Very interesting project presented in a very digestible format. Would love to see data improved via 3 tower triangulation, text messages, push notifications, and US data.

    September 5, 2013

  • Craig

    Bummer, unable to resist one last peek at what I was missing it turns out a few seats became available. Guess I should have hung on to that waiting list spot a bit longer.

    September 5, 2013

  • Wolf R.

    May be slightly delayed coming from SFO, but on my way and looking forward to meeting you all!

    September 5, 2013

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