The scope of this paper is focused on the multidimensional poverty problem in Jordan.
Household expenditure and income surveys provide data that are used for identifying and …

Designing early warning systems through machine learning (ML) models to identify students
at risk of dropout can improve targeting mechanisms and lead to efficient social policy …

Improved food security remains a major challenge for policymakers in Afghanistan. The
objective of this study is to investigate the prevalence and drivers of food insecurity among …

Poverty reduction is a key objective of development interventions. Evaluating the
effectiveness of policies and programmes thus requires practical, reliable and context …

Background A direct consequence of global warming, and strongly correlated with poor
physical and mental health, food insecurity is a rising global concern associated with low …

Purpose This study utilized data mining and machine learning (ML) techniques to identify
new patterns and classifications of the associations between nutrient intake and anemia …

░ ABSTRACT-ML and DL algorithms are becoming more popular to predict household food
security status, which can be used by the governments and policymakers of the country to …

This article offers policymakers and researchers pragmatic and sustainable approaches to
identify and mitigate conflict threats by looking beyond p-values and plausible instruments …

Food insecurity is a public health concern that affects children worldwide, yet it represents a
particular burden for low-and middle-income countries. This study aims to utilize machine …

The main objective of this study is to identify key household characteristics that discriminate
between food-secure (FS) and food-insecure (FI) households. This study uses both machine …