Prof. Mohd Hafiz Yusoff

Albukhary International University, Malaysia

Title: Big Data Technology to reduce poverty: A case study in Malaysia.

Abstract: The limited availability of data on poverty and inequality poses major challenges to the monitoring of Government Agencies twin goals – ending extreme poverty and boosting shared prosperity. According to a recently completed study, for nearly one hundred countries at most two poverty estimates are available over the past decade. Worse still, for around half of them there was either one or no poverty estimate available. Increasing the frequency of data on poverty is critical to effectively monitoring the Agencies twin goals.

Against this background, the science of “Big Data” is often looked to as providing a potential solution. The rapidly increasing volumes of raw data and the accompanying improvement of computer science have enabled us to fill other kinds of data gaps in ways that we could not even have dreamt of in the past.

In this research project, the approach and strategy to produce the meaningful data of poverty will be presented. This research project hopefully will give more impact to poverty alleviation programs.