Data Collection and Analysis

• Integrating Multiscale Data on Regional Food Systems and Associated Infrastructures
  • Architecture to track wasted food through collection, imaging, aggregation, upscaling
  • Data from product streams and co-occurring resource and waste flows
  • Data collection post-COVID 19 for resilience analysis

Multiscale Modeling and Metrics

• Integrated Models for Food System Sustainability and Associated Infrastructures
  • Integration of optimization, I-O models, and CGEs through complementarity problems
  • Integration of associated infrastructures such as energy and transportation within food system models

Qualitative Insights

• Generating Qualitative Insights and Integrating them into Metrics and Models
  • Ethnographic studies in communities
  • Insights from power analysis, environmental justice, and resilience capacity
  • Quantifying data on metrics of sustainability, equity, and resilience