This paper explores how consumers’ ethical food consumption practices, mediated by mobile phone applications (apps), are transformed into digital data. Based on a review of studies on the digitalization of ethical consumption practices and food apps, we find that previous research, while valuable, fails to acknowledge and critically examine the digital labor required to perform digitalized ethical food consumption. In this paper, we call for research on how digital labor underlies the digitalization of ethical food consumption and develop a conceptual (...) framework that supports this research agenda. Our proposed conceptual framework builds on three interconnected analytical concepts—datafication, affordances and digital labor—that enable the study of digital labor as an infrastructural element of digitalized food consumption. We illustrate our conceptual framework through our previous research concerning Buycott, a US-based mobile app whose stated aim is to facilitate consumers’ ethical purchasing decisions. Using the walkthrough method, we consider how the Buycott app engages user-generated data and what implications this holds for consumers. The app’s infrastructure, we suggest, connects ethical consumption and digital labor. A richer understanding of the digital food economy, we propose, enables social scientists not only to elucidate how consumers engage in digital labor, but also to contribute to the development of new data governance structures in the digital food economy. We therefore call for social scientists interested in food, consumption and the digital economy to contribute to a new research agenda for studying everyday food digitalization by empirically examining how ethical consumption apps implicate ethical consumers’ work. (shrink)

Artificial intelligence and robotics have increasingly been adopted in agri-food systems—from milking robots to self-driving tractors. New projects extend these technologies in an effort to automate skilled work that has previously been considered dependent on human expertise due to its complexity. In this paper, we draw on qualitative research carried out with farm managers on apple orchards and winegrape vineyards in Aotearoa New Zealand. We investigate how agricultural managers’ perceptions of future agricultural automation relates to their approach to expertise, or (...) the degree to which they think specialised skills and knowledge are required to perform agricultural work on their orchards and vineyards. Our research generates two insights: the perceived potential for work to be automated is related to the degree to which it is seen to require technical or embodied expertise, with technical expertise being more automatable; and, while embodied expertise is perceived to be more difficult to automate, it is sometimes attributed more exclusively to those in positions of power, such that embodied expertise can be highly valued while the majority of embodied work is viewed as non-expert and thus automatable. Our analysis illustrates that a robot can be an expert when expertise is technical. It also shows variability in the conceptualization of skilled or unskilled work, and that those conceptualizations can set the stage for the future effects of new technologies. This generates new insights into the conditions under which automation might reproduce existing inequalities in agriculture, and also raises new questions about responsibility in the context of automation. (shrink)

Silicon Valley and its innovation center counterparts have come upon food and agriculture as the next frontier for their unique style of innovation and impact. But what exactly can the tech sector, with expertise in information and communication technologies, bring to a domain in which the biophysical materiality of soil, plants, animals and human bodies have most challenged farmers and food companies? Based on a detailed analysis of all of the companies that have pitched their products at events sponsored by (...) the Silicon Valley-based convener, Foodbytes!, we show that a large proportion of tech-driven solutions are digital technologies transferred from other domains. These technologies at best inform decision-making on the ecological processes of food and farming, but do not provide tools to treat them, and otherwise provide business solutions not even aimed at major challenges in food and farming. Drawing on a small set of interview data, we additionally suggest that tech entrepreneurs migrate to food and agriculture because it seems purposeful, exciting, or lucrative, but sometimes lack a clear understanding of the problems they might solve with their digital technologies. In making our case about the mismatch of problem and solution, we bring into conversation recent critiques of digital solutionism with abiding concerns in agrarian political economy and critical food studies regarding the role of the biological in both challenging food production and spurring technological intervention. (shrink)

Over recent decades, influential agri-food tech actors, institutions, policymakers and others have fostered dominant techno-optimistic, future visions of food and agriculture that are having profound material impacts in present agri-food worlds. Analyzing such realities has become paramount for scholars working across the fields of science and technology studies (STS) and critical agri-food studies, many of whom contribute to STSFAN—the Science and Technology Studies Food and Agriculture Network. This article introduces a Special Issue featuring the scholarship of STSFAN members, which cover (...) a range of case studies and interdisciplinary and transdisciplinary engagements involving such contested agri-food futures. Their contributions are unique in that they emerged from the network’s specific modus operandi: a workshopping practice that supports the constructive, interdisciplinary dialogue necessary for critical research and rigorous analyses of science and technology in agri-food settings. This introduction offers an overview of STS and critical agri-food studies scholarship, including their historical entanglements in respective studies of food scandals, scientific regimes and technological determinism. We illustrate how interdisciplinary engagement across these fields has contributed to the emergent field of what we term agri-food technoscience scholarship, which the contributions of this Special Issue speak to. After a brief discussion of STS concepts, theories and methods shaping agri-food policy, technology design and manufacturing, we present the eleven Special Issue contributions in three thematic clusters: influential actors and their agri-food imaginaries; obfuscated (material) realities in agri-food technologies; and conflictual and constructive engagements in academia and agri-food. The introduction ends with a short reflection on future research trajectories in agri-food technoscience scholarship. (shrink)

Despite increasing attention to the sensors, drones, robots, and apps permeating agri-food systems, little attention has been paid to social media, perhaps the most ubiquitous digital technology in rural areas globally. This article draws on analysis of farming groups on Myanmar Facebook to posit social media as appropriated agritech: a generic technology incorporated into existing circuits of economic and social exchange that becomes a site of agrarian innovation. Through analysis of an original archive of popular posts collected from Myanmar-language Facebook (...) pages and groups related to agriculture, I explore the ways that farmers, traders, agronomists and agricultural companies use social media to further agrarian commerce and knowledge. These activities evidence that farmers use Facebook not only to exchange market or planting information, but also to interact in ways structured by existing social, political and economic relations. More broadly, my analysis builds on insights from STS and postcolonial computing to disrupt assumptions about the totalizing power of digital technologies and affirm the relevance of social media to agriculture, while inviting new research into the surprising, ambiguous relationships between small farmers and big tech. (shrink)