Globally, nearly one third of food produced for human consumption is lost or wasted. This equals a total of 1.3. billion tonnes per year, which is a large, unnecessary burden for the environment and the economy. Research and development have delivered a wealth of resources for understanding food waste, yet little is known about where food wasting occurs in the home. The study begins with a literature review of articles that deal with food waste and consumer behaviour, reflecting on their definition of ‘waste’, approach, findings and recommendations. Having noticed a lack of convergence in the literature, and an absence of research into digital technologies for the study of food waste, the potential for incorporating novel technology probe methodologies is explored. Building on the proliferation of internet of things devices, the ‘smart bin’ is introduced as an effective intervention for making visible routine household food wasting practices. These data were then triangulated with user interviews, leading to an enriched qualitative discussion and revealing drivers and mitigators of waste. This paper concludes with some reflections on the smart bin as a domestic product and how it might synthesise previous understandings of consumer behaviour, leading to better informed food waste policies and initiatives.

The Congo River is the deepest in the world and second-longest in Africa. Harnessing its full hydropower potential has been an ongoing development dream of the Democratic Republic of Congo (DRC) and its more powerful regional allies. If completed, the Grand Inga complex near Kinshasa, the capital of the DRC, will be the largest dam project in the world. Its eight separate dams (Inga 1–8) are envisioned to be “lighting up and powering Africa”. Opponents claim, however, that the rewards will be outsourced to corporate mining interests rather than meeting the needs of the local population, and that the project is flawed economically, socially and environmentally. The planned construction of the Inga dams and associated infrastructure has been stuck in limbo since it was mooted in the 1960s; a fantasy rather than a reality. This article attempts to analyse the rivalry underlying the Grand Inga scheme beyond the “pro” and “contra” reports. Embracing Lacanian psychoanalysis and triangulating multiple sources, we seek to unmask Grand Inga as a potent fantasy. Whilst exhibiting its purpose to serve as a screen to protect both proponents of and opponents to the dam from encountering their own self-deception, we conclude the scheme to be at its most powerful whilst the dream remains unfulfilled.

This article explores online interactions between members of the UK farming community in the context of Brexit, a moment of great friction within British agriculture. A ‘netnography’ was conducted of thefarmingforum.co.uk, a British‐based discussion group with a large membership, covering a range of aspects from farming practices to trade and relationships. Findings reveal how the online space challenges and connects notions of rural space and place. A displaced identity, unmoored from traditional farming attributes such as land and locality, becomes both a driving force for participation and a tool for political control. The article sheds light on the under‐appreciated political power of such online groups enabled through under‐researched digital technologies. The farmer‐owned forum represents the ‘other voice’ within corporate‐led agricultural innovation; however, the onset of Brexit became a catalyst for extreme politics, facilitating a populist swing towards the Leave campaign and revealing a visceral distrust for institutions.

This study explores how generative AI (GAI) tools for agricultural extension can be designed and evaluated more responsibly. While current GAI systems offer scalable, personalized advice, they often ignore the lived realities of smallholder farmers—especially women—by relying on generic datasets and rigid evaluation metrics. We investigate three complementary methods: adversarial testing to expose gendered and contextual blind spots in model outputs; deliberative stakeholder engagement using the C-H-A-T framework, which focused on Collective knowledge, Human insight, Augmentation, and Trust, to surface value tensions and design trade-offs; and field-level insights from extension officers to uncover trust-building, diagnostic reasoning, and social intelligence absent from static GAI interactions. Together, these approaches reveal that responsible GAI requires more than technical accuracy. It demands participatory design processes that foreground user realities, surface stakeholder assumptions, and account for social and institutional context. We recommend developing gender-responsive benchmarks, embedding reflexive, participatory design methods, and modeling advisory reasoning based on real-world extension practice. The findings contribute to a growing agenda for responsible AI development—highlighting the importance of aligning GAI tools not only with technical goals, but with the social, cultural, and political contexts in which they operate.

Digital extension and farmer-centric design are increasingly presented as complementary strategies for transforming agricultural innovation systems: digital extension promises scale and efficiency, while farmer-centric design is expected to ensure relevance, inclusivity, and legitimacy. This paper challenges the assumption that these approaches are naturally aligned. Through Critical Discourse Analysis, we examine how farmer-centricity is enacted within digital extension initiatives and how its normative commitments are reshaped as digital platforms evolve. Empirically, we analyse two digital extension platforms developed between 2014 and 2024, one in the Global North and one in the Global South. Drawing on public-facing media, organisational records, design documents, and technical walkthroughs of each platform, we trace how normative, technical, and interpretive frames interact across different phases of platform development. Our findings show that, in early phases, digital extension is framed as enabling farmer-centric design, supporting decentralised design practices, epistemic pluralism, and farmer sovereignty. Over time, however, farmer-centricity becomes instrumentalised to support the scaling of digital extension through data generation, peer diffusion, and environmental accountability, placing new forms of labour and responsibility onto farmers without a commensurate redistribution of authority. These tensions are not resolved but reconfigured through design practices, often obscured by the rhetoric of empowerment and responsiveness. We conceptualise this dynamic as algorithmic participation : a form of participation mediated through digital infrastructures that anticipate and steer farmer engagement in ways that stabilise existing innovation logics. The paper contributes to debates on farmer-centric design and digital extension by showing how even well-intentioned practices can reproduce structural inequalities.