A foodshed is a concept analogous to a watershed, describing the catchment of the sources of food for a region. As such, it portrays linkages ranging from local communities out to the global food system. Inefficiencies exist at all stages of the food supply chain, resulting in the challenges of inequitable access to healthy and safe food. Many of these inefficiencies are informational; for instance, food being wasted that could be donated to food banks were there communication of the need. These informational inefficiencies can be ameliorated by a stronger semantic characterization of the links between actors and resources in the food system, allowing for the development of smarter software technologies to facilitate interconnections. We discuss an iterative process to improve informatics frameworks for the foodshed by engaging with regional stakeholders to identify important issues and information needs. Key Words: food systems, ontologies, semantic web, smart foodsheds, stakeholder engagement.

This study attempts to identify the impacts of land tenure institutions on the e⁄ciency of farm management based on a case study of lowland paddy (rice) and upland cinnamon production in customary land areas of Sumatra. While the traditional joint-family ownership system is found to exist in paddy land, more individualised ownership systems are widely observed in upland areas. Yet, we found no statistical evidence that residual pro¢t per unit of land is a¡ected by land tenure institutions in either the lowlands or uplands, indicating that the prevailing land tenure institutions are equally conducive to e⁄cient farm management.

Public interest in where food comes from and how it is produced, processed, and distributed has increased over the last few decades, with even greater focus emerging during the COVID-19 pandemic. Mounting evidence and experience point to disturbing weaknesses in our food systems’ abilities to support human livelihoods and wellbeing, and alarming long-term trends regarding both the environmental footprint of food systems and mounting vulnerabilities to shocks and stressors. How can we tackle the “wicked problems” embedded in a food system? More specifically, how can convergent research programs be designed and resulting knowledge implemented to increase inclusion, sustainability, and resilience within these complex systems, support widespread contributions to and acceptance of solutions to these challenges, and provide concrete benchmarks to measure progress and understand tradeoffs among strategies along multiple dimensions? This article introduces and defines food systems informatics (FSI) as a tool to enhance equity, sustainability, and resilience of food systems through collaborative, user-driven interaction, negotiation, experimentation, and innovation within food systems. Specific benefits we foresee in further development of FSI platforms include the creation of capacity-enabling verifiable claims of sustainability, food safety, and human health benefits relevant to particular locations and products; the creation of better incentives for the adoption of more sustainable land use practices and for the creation of more diverse agro-ecosystems; the wide-spread use of improved and verifiable metrics of sustainability, resilience, and health benefits; and improved human health through better diets.

Solving the wicked problems of food system sustainability requires a process of knowledge co-production among diverse actors in society. We illustrate a generalized workflow for knowledge co-production in food systems with a pair of case studies from the response of the meat and dairy production sectors in the wake of the COVID-19 pandemic. The first case study serves as an example of a scientific workflow and uses a GIS method (location allocation) to examine the supply chain linkages between meat and dairy producers and processors in Ohio. This analysis found that meat producers and processors are less clustered and more evenly distributed across the state than dairy producers and processors, with some dairy processors potentially needing to rely on supply from producers up to 252 km away. The second case study in California adds an example of a stakeholder workflow in parallel to a scientific workflow and describes the outcome of a series of interviews with small and mid-scale meat producers and processors concerning their challenges and opportunities, with the concentration of processors arising as the top challenge faced by producers. We present a pair of workflow diagrams for the two case studies that illustrate where the processes of knowledge co-production are situated. Examining these workflow processes highlights the importance of data privacy, data governance, and boundary spanners that connect stakeholders.