Nutrition Education & Local Access Dashboard
Description
The goal of this dashboard is to provide county-level information on nutrition education and local food access, alongside other metrics related to hunger and nutritional health. This interactive dashboard can provide specific details based on the properties of farm to school intensity and size, program activity intensity, demographics, fresh food access, school size, and program participation. These properties allow users to find similar states based on any of these characteristics, opening up opportunities for partnerships with states they may not have considered.
Detailed example
The model outputs groups of similar counties/states based on the different combinations of properties available for states.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Benefits include consolidating related data in one location for informing nutrition programming, and identify potential partners for nutrition programs based on similarities.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
The data is composed of numerical and categorical data describing farm to school intensity and size, program activity intensity, ethnicity and race, fresh food access, school size, and program participation.