We review existing decision support models (including statistical, simulation, and
optimization models) aimed at addressing chronic food insecurity issue by enhancing the …

Cognitive biases are systematic errors in judgment due to an over‐reliance on rule‐of‐
thumb heuristics. Recent research suggests that cognitive biases, like numerical anchoring …

Significant uncertainty exists both on the supply and demand side of food bank operations,
but the demand side has received significantly less attention in the literature. In this study …

Hunger relief organizations often estimate food demand using food distribution data.
Leveraging Visual Analytics (VA) and historical data, we examine how underlying factors …

Food banks are nonprofit organizations with the primary mission of providing food
assistance to the communities they serve. This assistance occurs through the collection …

In recent years, Food bank logistics has become a field of importance in the areas of equity
and sustainability due to the growing environmental, economic, and social concerns and …

The purpose of the study is to explore the correlation and influence relationships between
psychological bias through its sub-dimensions and the quality of the strategic decision at the …

Visual analytics technologies utilize visualization tools to facilitate exploratory analytical
thinking, allowing users to quickly identify new patterns and trends in complex data and …

In this thesis, we hypothesize that data visualization users are subject to systematic errors, or
cognitive biases, in decision-making under uncertainty. Based on research from psychology …

Effective resource allocation in hunger-relief agencies relies on data-driven decisionmaking.
In recent years, major hunger-relief organizations, such as food banks, have increasingly …