Farming is undergoing a digital revolution. Our existing review of current Big Data applications in the agri-food sector has revealed several collection and analytics tools that may have implications for relationships of power between players in the food system. For example, Who retains ownership of the data generated by applications like Monsanto Corproation's Weed I.D. “app”? Are there privacy implications with the data gathered by John Deere's precision agricultural equipment? Systematically tracing the digital revolution in agriculture, and charting the affordances (...) as well as the limitations of Big Data applied to food and agriculture, should be a broad research goal for Big Data scholarship. Such a goal brings data scholarship into conversation with food studies and it allows for a focus on the material consequences of big data in society. (shrink)

The Nova Scotia Participatory Food Costing Project uses participatory action research to collect data on the cost and affordability of food and involves those who are directly affected by food insecurity. More than a decade of this work has also yielded qualitative evaluation data that illustrates the project participants' experience with the project and with food security more generally. The data are characterized by ample evidence of participants' perceived powerlessness related to government and social structures. At the same time, that (...) data indicate that playing a role in participatory processes seems to have served as an empowering experience for the participants. We highlight some of the findings here and situate them within critical literature on citizens' discourse. (shrink)