A whitepaper outlining the development of an alternative socioeconomic index for Sri Lanka, using principal component analysis (PCA) and publicly available census data
Download PDF EmailPosted by Viren Dias, Lasantha Fernando, Tharaka Amarasinghe, Yudhanjaya Wijeratne on January 27, 2020 / 0 Comments
A whitepaper outlining the development of an alternative socioeconomic index for Sri Lanka, using principal component analysis (PCA) and publicly available census data
Download PDF EmailOn 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
Helani Galpaya spoke on the information disorder at the panel discussion titled “Democracy in the Digital Age: How Canada Advances Internet Freedom for All," organised by Global Affairs Canada (GAC) and the International Development Research Center (IDRC).
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