Kreindler, G. & Miyauchi, Y. (2015). Commuting and Productivity: Quantifying Urban Economic Activity using Cell Phone Data. LIRNEasia
Download PDF EmailPosted on March 22, 2015 / 0 Comments
Kreindler, G. & Miyauchi, Y. (2015). Commuting and Productivity: Quantifying Urban Economic Activity using Cell Phone Data. LIRNEasia
Download PDF EmailLast year we conducted research to explore the possibility of leveraging online job portal data for economic analysis in 13 Asia Pacific countries, as a part of a project for the Asian Development Bank. We examined the types of information available on major portals across the region, to discern the nature and format of available data.
On 2nd October 2023, Research Manager and Team Lead (Data, Algorithms, and Policy) Merl Chandana, alongside Junior Researcher Chanuka Algama, held a session titled ‘Applied data science research for social good’ at the University of Kelaniya’s Department of Statistics and Computer Science. The session delved into LIRNEasia’s journey of forming a data science team and using large datasets to yield critical insights for public policy.
By employing unsupervised and supervised machine learning techniques, we explore the feasibility of utilizing mobile call detail records (CDRs) as well as geographic information system (GIS) and remote sensing (RS) data to map poverty spatially
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