LIRNEasia2019-09-062019-09-062017http://hdl.handle.net/10625/57973The research addresses how big data can provide evidence to better inform public policy and allow for greater use of evidence in the policy making process. In addition to more detailed research in the area of transportation and urban planning (commuting patterns), this research articulates and answers questions in other domains such as health (modeling the spread of diseases) and official statistics (mapping poverty for instance). Guidelines were translated into legal language so that mobile operators can responsibly share data. Traditional survey methods that provide enough detail to accurately assess conditions are costly and can rarely reach a representative portion of the population, especially in poorer areas.application/pdfenCONNECTIVITYBIG DATAMOBILE NETWORKSRESEARCH TO POLICYDATABASESURBAN PLANNINGDATA COLLECTIONSURVEYSURBAN TRANSPORTSRI LANKASOUTH ASIAFinal Technical Report