Objective: identify areas with budget cuts and compare their needs before and after. Infer patterns
- are budget cuts done on district or state levels? Does a type of budget cut make a difference?
- what magnitude of cuts (or cuts in specific domains) is significant?
Impact: educate policy makers on how their decisions impact how well the classrooms are stocked
Data approaches: resource categories/taxonomy data
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