Farmers markets can offer solutions to several of the biggest problems besetting the US food system: fair prices to farmers; healthy, fresh food for consumers; direct contacts between consumers and farmers; food for food deserts; support for local economies. Awareness of these benefits led us to study the farmers markets of Greater Cincinnati. Markets grew rapidly in the early 1980s, peaked in 2012, and declined 17% by 2018. Sixty-one percent of the markets that started since 1970 have closed. Two types (...) of markets exist: farmer-focused markets, with farmer vendors, and consumer-focused markets, with farmers and specialist vendors. Detailed information about market management shows that managers, the majority of whom are volunteers or underpaid, have insufficient resources to be sustainable. Market decline is often blamed on an oversupply of markets, but other factors are involved: the inability of market personnel and customers to cross class and racial boundaries; the encroachment of online retailers; a scarcity of farmers; market manager failures. Individual markets need to form coalitions and gain sufficient resources from governments or private funders to employ specialists who can assist managers, expand the consumer base, and design promotion campaigns that effectively promote farmers markets in the changing retail food landscape. (shrink)

Engaging stakeholders in policy making and supporting policy development with advanced information and communication technologies including policy simulation is currently high on the agenda of research. In order to involve stakeholders in providing their input to policy modeling via online means, simple techniques need to be employed such as scenario technique. Scenarios enable stakeholders to express their views in narrative text. At the other end of policy development, a frequently used approach to policy modeling is agent-based simulation. So far, effective (...) support to transform narrative text input to formal simulation statements is not widely available. In this paper, we present a novel approach to support the transformation of narrative texts via conceptual modeling into formal simulation models. The approach also stores provenance information which is conveyed via annotations of texts to the conceptual model and further on to the simulation model. This way, traceability of information is provided, which contributes to better understanding and transparency, and therewith enables stakeholders and policy modelers to return to the sources that informed the conceptual and simulation model. In this paper, we present the consistent conceptual description (CCD) as conceptual modeling approach to bridge the gap between narrative texts and formal policy models. The CCD meta-model with the underlying vocabulary for describing policy contexts is detailed. A case study introduces the application of the approach in the Open Collaboration for Policy Modeling project. (shrink)