Submitted by Christy Getz on
In partnership with the UC Division of Agriculture and Natural Resources and the Food Innovations Group, researchers at UC Berkeley are conducting an evaluation of California’s Farm to School Incubator Grant Program (CA F2S), with the aim of identifying barriers to and opportunities for CA F2S to improve the economic, environmental, and social impacts of farm-to-school initiatives in California. Funded by the California Department of Food and Agriculture), CA F2S is designed to “award competitive grants to support projects that cultivate equity, nurture students, build climate resilience, and create scalable and sustainable change.” This comprehensive and systemic evaluation will analyze and measure broad impacts of this important investment in California’s children, schools, farms, and communities.
The CA F2S Case Study Team will be designing and conducting mixed-methods comparative case study research on 20 different Farm to School supply chains that are receiving CA F2S funding, with the aim of identifying causal pathways to successful outcomes.
1. Provide support in planning, analysis, and reporting activities of the Farm to School Supply Chain Case Study Research.
2. Assist with compiling and analyzing grant application data and grantee reports.
3. Assist with analyzing interview transcripts from various Farm to School supply chain actors, including nutrition service directors, school food aggregators and distributors, farmers, and partner organizations.
4. Assist with developing fact sheets on each supply chain.
5. Contribute to an annotated literature review.
6. Assist with preparation of policy-focused reports and recommendations.
1. Student majoring or minoring in Food Systems; Conservation and Resource Studies; Environmental Economics And Policy; Society & Environment; Sociology; Political Science and Government; or related field. 2nd, 3rd or 4th year student desired.
2. Interested in food systemes-oriented research.
3. Experience with qualitative research and data analysis desired. Basic experience in statistical data analysis a plus.
5. Excellent attention to detail, organizational skills, and strong initiative required.
6. Ability to work effectively both independently and as a team member in a fast-paced environment.
7. Proficiency with MS Office software and Google Docs Suite required.