Regional Workshop on SDGs Data Disaggregation Using Small Area Estimation and Machine Learning Techniques
10th -13th June 2024
The Asian Development Bank’s Strategy, Policy, and Partnerships Department with the support of the Japan Fund for Prosperous and Resilient Asia and the Pacific and the ASEAN SecretariatDOSM Representative:
Mdm. Fuziah Md. Amin, E54, Agricultural and Environment Statistics Division Mdm. Latifah Mohamed Shah, E44, Agricultural and Environment Statistics Division
Granular data on SDG indicators can help policymakers and development practitioners provide better programs and services to society. Achieving granularity in SDG indicators derived through surveys often necessitates increasing sample sizes, which is not always practicable or practical for national statistics departments. Innovations in data integration methodologies provide intriguing potential to embrace a new paradigm of granular data collection for SDG monitoring. The workshop introduced participants to the fundamental principles of Small Area Estimation and Machine Learning Techniques to improve the granularity of selected SDG indicators.
Statistics is the Essence of Life
