Name Drawing Demarcations using Mobile Phone Metadata
Source LIRNEasia
Hyperlink to Source http://lirneasia.net/projects/2012-2014-research-program/big-data/
Description The proposed research seeks to identify communities based on actual communication patterns rather than administrative boundaries. The objective of the proposed research is to contribute to an evidence-based discussion on the optimum demarcations of cities and related public-policy issues, using findings from the analysis of big data from two major mobile operators who have consented to cooperate. A core set of research questions that can be answered using only mobile data will be developed. Given the conclusion of the Sri Lanka census in 2012, best efforts will be made to combine mobile data with census data to obtain richer results. The data will be analyzed using T-Cube, a software package from Carnegie Mellon University that has been used for pattern analysis in previous LIRNEasia research. In addition, software packages currently in use by the mobile operators may be used subject to negotiated conditions.
Long description
Lead Institution LIRNEasia
Logo of lead Institution Logo institution
Partners Carnegie Mellon University
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Info link http://lirneasia.net/projects/2012-2014-research-program/big-data/
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Type Knowledge
Potential for reuse Medium
Open source No
Open Source URL
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Maintenance Requirements
Plug & Play No
Outputs compatible with indicators from Official Statistics No
Status Pilot
Country use cases
Target Groups
Statistical Institute
Other Government Agencies
Sectors where the innovation can be applied
  • Science & Technology
  • ,
  • Social Development
  • Areas of technological innovation
  • Log Data
  • Areas of management practice innovations
    Use of Alternative Data Sources
    Areas of institutional process innovations
    Case Study URL with Public Sector Participation
    Case Study Description
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    Created On 2014-04-12
    Updated On 2014-04-12
    Status Published
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