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1. Food Insecurity of Children in the Food Bank of Central and Eastern North Carolina Food Bank Service Area

   https://doi.org/10.1109/SoutheastCon45413.2021.9401880  

   Patterson, Angel ; Esterline, Albert ( March 2021 , Food Insecurity of Children in the Food Bank of Central and Eastern North Carolina Food Bank Service Area)

   North Carolina is labeled as the 10th hungriest state in America, with almost 1 in 5 children in North Carolina facing hunger regularly. Based on these numbers alone, childhood hunger is an important issue that needs to be addressed. This paper focuses on the thirty-four counties serviced by the Food Bank of Central and Eastern North Carolina. Each county is mapped out, showing the percentage of children receiving free or reduced meals. These numbers are then compared to the number of Weekend Power Packs, Kid Cafes, and School Pantry locations per county. This project illustrates the strength of visual analytics for decision making
2. Cross-national analysis of food security drivers: comparing results based on the Food Insecurity Experience Scale and Global Food Security Index

   https://doi.org/10.1007/s12571-021-01156-w  

   Allee, Andrew ; Lynd, Lee R. ; Vaze, Vikrant ( March 2021 , Food Security)

   The second UN Sustainable Development Goal establishes food security as a priority for governments, multilateral organizations, and NGOs. These institutions track national-level food security performance with an array of metrics and weigh intervention options considering the leverage of many possible drivers. We studied the relationships between several candidate drivers and two response variables based on prominent measures of national food security: the 2019 Global Food Security Index (GFSI) and the Food Insecurity Experience Scale’s (FIES) estimate of the percentage of a nation’s population experiencing food security or mild food insecurity (FI_{). We compared the contributions of explanatory variables in regressions predicting both response variables, and we further tested the stability of our results to changes in explanatory variable selection and in the countries included in regression model training and testing. At the cross-national level, the quantity and quality of a nation’s agricultural land were not predictive of either food security metric. We found mixed evidence that per-capita cereal production, per-hectare cereal yield, an aggregate governance metric, logistics performance, and extent of paid employment work were predictive of national food security. Household spending as measured by per-capita final consumption expenditure (HFCE) was consistently the strongest driver among those studied, alonemore »explaining a median of 92% and 70% of variation (based on out-of-sample R²) in GFSI and FI, respectively. The relative strength of HFCE as a predictor was observed for both response variables and was independent of the countries used for model training, the transformations applied to the explanatory variables prior to model training, and the variable selection technique used to specify multivariate regressions. The results of this cross-national analysis reinforce previous research supportive of a causal mechanism where, in the absence of exceptional local factors, an increase in income drives increase in food security. However, the strength of this effect varies depending on the countries included in regression model fitting. We demonstrate that using multiple response metrics, repeated random sampling of input data, and iterative variable selection facilitates a convergence of evidence approach to analyzing food security drivers.}

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3. Using Virtual Reality Food Environments to Study Individual Food Consumer Behavior in an Urban Food Environment

   https://doi.org/10.1145/3562939.3565685  

   Attar, Talia ; Oyekoya, Oyewole ; Horlyck-Romanovsky, Margrethe ( November 2022 , 28th ACM Symposium on Virtual Reality Software and Technology)
4. Farm to Food Bank: Exploring the Ties between Local Food Producers and Charitable Food Assistance ^☆

   https://doi.org/10.1111/ruso.12489  

   Haynes Stein, Alana ; Brinkley, Catherine ( April 2023 , Rural Sociology)
5. Rapid tool based on a food environment typology framework for evaluating effects of the COVID-19 pandemic on food system resilience

   https://doi.org/10.1007/s12571-020-01086-z  

   Ahmed, Selena ; Downs, Shauna M. ; Yang, Chunyan ; Chunlin, Long ; ten Broek, Noah ; Ghosh-Jerath, Suparna ( August 2020 , Food Security)