Abstract While there is a lot of literature from a natural or technical sciences perspective on different forms of digitalization in agriculture (big data, internet of things, augmented reality, robotics, sensors, 3D printing, system integration, ubiquitous connectivity, artificial intelligence, digital twins, and blockchain among others), social science researchers have recently started investigating different aspects of digital agriculture in relation to farm production systems, value chains and food systems. This has led to a burgeoning but scattered social science body of literature. There is hence lack of overview of how this field of study is developing, and what are established, emerging, and new themes and topics. This is where this article aims to make a contribution, beyond introducing this special issue which presents seventeen articles dealing with social, economic and institutional dynamics of precision farming, digital agriculture, smart farming or agriculture 4.0. An exploratory literature review shows that five thematic clusters of extant social science literature on digitalization in agriculture can be identified: 1) Adoption, uses and adaptation of digital technologies on farm; 2) Effects of digitalization on farmer identity, farmer skills, and farm work; 3) Power, ownership, privacy and ethics in digitalizing agricultural production systems and value chains; 4) Digitalization and agricultural knowledge and innovation systems (AKIS); and 5) Economics and management of digitalized agricultural production systems and value chains. The main contributions of the special issue articles are mapped against these thematic clusters, revealing new insights on the link between digital agriculture and farm diversity, new economic, business and institutional arrangements both on-farm, in the value chain and food system, and in the innovation system, and emerging ways to ethically govern digital agriculture. Emerging lines of social science enquiry within these thematic clusters are identified and new lines are suggested to create a future research agenda on digital agriculture, smart farming and agriculture 4.0. Also, four potential new thematic social science clusters are also identified, which so far seem weakly developed: 1) Digital agriculture socio-cyber-physical-ecological systems conceptualizations; 2) Digital agriculture policy processes; 3) Digitally enabled agricultural transition pathways; and 4) Global geography of digital agriculture development. This future research agenda provides ample scope for future interdisciplinary and transdisciplinary science on precision farming, digital agriculture, smart farming and agriculture 4.0.
It has long been claimed that a better understanding of human or social dimensions of environmental issues will improve conservation. The social sciences are one important means through which researchers and practitioners can attain that better understanding. Yet, a lack of awareness of the scope and uncertainty about the purpose of the conservation social sciences impedes the conservation community's effective engagement with the human dimensions. This paper examines the scope and purpose of eighteen subfields of classic, interdisciplinary and applied conservation social sciences and articulates ten distinct contributions that the social sciences can make to understanding and improving conservation. In brief, the conservation social sciences can be valuable to conservation for descriptive, diagnostic, disruptive, reflexive, generative, innovative, or instrumental reasons. This review and supporting materials provides a succinct yet comprehensive reference for conservation scientists and practitioners. We contend that the social sciences can help facilitate conservation policies, actions and outcomes that are more legitimate, salient, robust and effective.
Handrian Ginting Jonson, Afrida Afrida, Zulkifli Addina
et al.
This study examines the 2024 flash flood in Pandai Sikek, West Sumatra, through the lens of disaster anthropology and social memory. Based on preliminary research and one week of ethnographic fieldwork, the research reveals that while extreme rainfall triggered the event, socio-ecological drivers such as post-COVID return migration, deforestation, and land-use change significantly amplified its impacts. The community’s vulnerability was heightened by the absence of social memory: no oral traditions, rituals, or institutional practices existed to anticipate or respond to such a disaster. The flood therefore collapsed long-standing narratives of safety associated with Mount Singgalang and forced the community to confront a new reality of risk. Findings show that the disaster produced both trauma and solidarity, as
gotong royong, remittances from migrants, and local organizing supported immediate recovery. At the same time, new and contested memories of vulnerability began to emerge. Early mitigation efforts, including reforestation, canal reinforcement, and disaster awareness initiatives, indicate steps toward resilience, though challenges remain in institutionalizing these lessons. The study concludes that building resilience in Pandai Sikek requires not only ecological restoration but also the transformation of traumatic absence into enduring social memory.
Martin Åhlén, Suzanna Törnroth, Åsa Wikberg-Nilsson
This article introduces the Design Sensibility Approach—a sensorial and embodied process for making sense of possible futures. The approach is applied through a case study on speculative energy design in the home, conducted and adapted within a participatory workshop held at a regional art hall in Northern Sweden. It unfolds in four phases—Imagine, Make, Explore, and Reflect—across a broader timeline comprising pre-workshop, active workshop, and post-workshop stages. During the workshop, participants were invited to engage with their senses through a series of activities designed to prompt reflection on their own future energy imaginaries, which they materialized using a MakeTools kit. The results reveal three themes: emotional responses elicited from embodied experiences with energy; energy as a lifestyle; and critique of the political landscape surrounding resource extractivism in Northern Sweden. These findings inform the research question: How might the human senses be leveraged to create stronger emotional connections with future domestic energy products and systems? The article concludes by proposing concrete applications of the Design Sensibility Approach at individual, community, and governance levels, highlighting its ethical and inclusive dimensions as areas for future development.
Background: With the rapid expansion of the generative AI market, conducting in-depth research on cognitive conflicts in human–computer interaction is crucial for optimizing user experience and improving the quality of interactions with AI systems. However, existing studies insufficiently explore the role of user cognitive conflicts and the explanation of stance attribution in the design of human–computer interactions. Methods: This research, grounded in mental models theory and employing an improved version of the oddball paradigm, utilizes Event-Related Spectral Perturbations (ERSP) and functional connectivity analysis to reveal how task types and stance attribution explanations in generative AI influence users’ unconscious cognitive processing mechanisms during service failures. Results: The results indicate that under design stance explanations, the ERSP and Phase Locking Value (PLV) in the theta frequency band were significantly lower for emotional task failures than mechanical task failures. In the case of emotional task failures, the ERSP and PLV in the theta frequency band induced by intentional stance explanations were significantly higher than those induced by design stance explanations. Conclusions: This study found that stance attribution explanations profoundly affect users’ mental models of AI, which determine their responses to service failure.
Higher education is tasked with the challenge of producing graduate-ready professionals. Thus, alternative learning and assessment activities are needed to provide students with real-life complex experiences, particularly in fields like social work. This quasi-experimental design study explored the effectiveness of H5P virtual simulation to teach assessment and direct practice skills to social work students (n = 80). Mixed-methods data based on the pre/post outcomes of skill development were analysed using descriptive and bi-variate analysis as well as thematic analysis for qualitative data. A Wilcoxon signed-rank test reveals significant outcomes in assessment and practice skills between pre- and post-measures. The qualitative findings include three key themes: (1) realism, (2) engagement, and (3) practice skills. This study provides evidence and highlights the importance of using virtual simulation to help students develop skills to manage complex real-world problems.