All around the world, inequalities persist in the complex web of social, economic, and
ecological factors that mediate food security outcomes at different human and institutional …

Estimating how many people are food insecure and where they are is of fundamental
importance for governments and humanitarian organizations to make informed and timely …

Anticipating food crisis outbreaks is crucial to efficiently allocate emergency relief and
reduce human suffering. However, existing predictive models rely on risk measures that are …

Despite progress in reducing poverty in recent decades (World Bank Group, 2018), one in
nine people in the world faces hunger (FAO et al., 2019). More than 130 million people are …

Food insecurity, defined as the lack of physical or economic access to safe, nutritious and
sufficient food, remains one of the main challenges included in the 2030 Agenda for …

As the world works to achieve the United Nations Sustainable Development Goal 1 (SDG1):
End poverty in all its forms everywhere, by 2030, it is critical to understand its strong …

Early warning systems are an essential tool for effective humanitarian action. Advance
warnings on impending disasters facilitate timely and targeted response which help save …

In this study, we present a machine‐learning model capable of predicting food insecurity in
the Horn of Africa, which is one of the most vulnerable regions worldwide. The region has …

The traditional consumer price index is often produced at an aggregate level, using data
from few, highly urbanized, areas. As such, it poorly describes price trends in rural or poverty …

Food insecurity poses a lingering threat to national development across low-and
middleincome countries (LMICs), and the recent inflationary trend has severely undercut …