Given the potential of generative artificial intelligence (GenAI) to create human clones, it is not surprising that chatbots have been implemented in politics. In a turbulent political context, these AI-driven bots are likely to be used to spread biased information, amplify polarisation, and distort our memories. Large language models (LLMs) lack ‘political memory’ and cannot accurately process political discourses that draw from collective political memory. We refer to research concerning collective political memory and AI to present our observations of a chatbot experiment undertaken during the Presidential Elections in Finland in early 2024. This election took place at a historically crucial moment, as Finland, traditionally an advocate of neutrality and peacefulness, had become a vocal supporter of Ukraine and a new member state of NATO. Our research team developed LLM-driven chatbots for all presidential candidates, and Finnish citizens were afforded the chance to engage with these chatbot–politicians. In our study, human–chatbot discussions related to foreign and security politics were especially interesting. While rhetorically very typical and believable in light of real political speech, chatbots reorganised prevailing discourses generating responses that distorted the collective political memory. In actuality, Russia’s full-scale invasion of Ukraine had drastically changed Finland’s political positioning. Our AI-driven chatbots, or ‘electobots’, continued to promote constructive dialogue with Russia, thus earning our moniker ‘Finlandised Bots’. Our experiment highlights that training AI for political purposes requires familiarity with the prevailing discourses and attunement to the nuances of the context, showcasing the importance of studying human–machine interactions beyond the typical viewpoint of disinformation.

Recent work showing the existence of conflict-free almost-perfect hypergraph matchings has found many applications. We show that, assuming certain simple degree and codegree conditions on the hypergraph $ \mathcal{H}$ and the conflicts to be avoided, a conflict-free almost-perfect matching can be extended to one covering all vertices in a particular subset of $ V(\mathcal{H})$, by using an additional set of edges; in particular, we ensure that our matching avoids all additional conflicts, which may consist of both old and new edges. This setup is useful for various applications in design theory and Ramsey theory. For example, our main result provides a crucial tool in the recent proof of the high-girth existence conjecture due to Delcourt and Postle. It also provides a black box which encapsulates many long and tedious calculations, greatly simplifying the proofs of results in generalised Ramsey theory.

This essay coins and develops the concept of Longevity Capitalism, a biopolitical and financial regime in which both the condition of living longer and the pursuit of longevity are transformed into frontiers of accumulation. As financialisation extends into the domain of ageing, longevity – once a social and fiscal challenge – has been reframed as an investment opportunity. The essay traces a shift from collective welfare management to individualized risk-bearing, showing how uncertainty about life expectancy is converted into a new asset class. Drawing on examples such as financial instruments that profit from longevity risk, the rise of ‘age-tech’, and Silicon Valley’s ventures in life extension, it shows how biological time is increasingly treated as an economic resource. It also examines the speculative pursuit of ‘longevity escape velocity’, where technological innovation is imagined to outpace ageing and death itself becomes a technical problem. Together, these developments reveal a system in which longer life functions as a perpetually deferred investment cycle – an economy sustained by its own postponement. The essay argues that economic and biological time, wealth and health, are now fused within a single regime of managed futurity, reflecting new forms of power over who – and how – gets to live longer.

Bayesian hypothesis testing via Bayes factors offers a principled alternative to classical p-value methods in meta-analysis, particularly suited to its cumulative and sequential nature. Unlike p-values, Bayes factors allow for quantifying support both for and against the existence of an effect, facilitate ongoing evidence monitoring, and maintain coherent long-run behavior as additional studies are incorporated. Recent theoretical developments further show how Bayes factors can flexibly control Type I error rates through connections to e-value theory. Despite these advantages, their use remains limited in the meta-analytic literature. This article provides a critical overview of their theoretical properties, methodological considerations—such as prior sensitivity—and practical advantages for evidence synthesis. Two illustrative applications are provided: one on statistical learning in individuals with language impairments, and another on seroma incidence following post-operative exercise in breast cancer patients. New tools supporting these methods are available in the open-source R package BFpack.

Nature-based solutions (NbSs) are increasingly recognised for their potential to address climate change and biodiversity loss, but their role in mitigating antimicrobial resistance (AMR) remains underexplored. AMR and climate change share environmental drivers, such as pollution, ecosystem degradation, and industrial agriculture, yet responses often remain fragmented and technocratic. This paper draws on a global roundtable series convened under the British Academy’s “Just Transitions for AMR” initiative to explore how NbS can support more just, equitable, and integrated responses to these intersecting crises. Bringing together 46 experts from public health, environmental science, agriculture, governance, and social sciences, the roundtables facilitated interdisciplinary exchange across Africa, Asia, and Europe. The paper synthesises insights across four thematic areas: conceptualising Just Transitions in NbS, identifying co-benefits for scaling NbS for climate and AMR mitigation, addressing implementation barriers, and proposing future directions. Findings emphasise the need to reframe NbS as socially embedded practices co-designed with communities, rather than as technical fixes. Participants called for investment in place-based approaches, participatory monitoring, and governance structures promoting inclusion. The paper concludes by aligning NbS with One Health and Just Transition principles, urging a shift from isolated interventions to systems-oriented transformations that redress power imbalances in environmental and health governance.

Narrowleaf goldenrod [Euthamia graminifolia (L.) Nutt.] is the most common goldenrod species in lowbush blueberry (Vaccinium angustifolium Aiton) fields in Nova Scotia, Canada. Knowledge of ramet emergence and phenological development of this weed is limited, and it is unknown if seedling emergence contributes to the maintenance of established populations. The objectives of this research were to (1) develop predictive GDD models for E. graminifolia ramet emergence and phenological development, (2) determine whether E. graminifolia forms seedbanks in lowbush blueberry fields, and (3) establish whether E. graminifolia seedlings emerge in lowbush blueberry fields. Cumulative E. graminifolia ramet emergence was explained as a function of GDD using a four-parameter Weibull equation that predicted emergence to begin at 72 GDD and 90% emergence to occur at 458 GDD. Cumulative ramets at the flower bud and flowering stages were explained as a function of GDD using a three-parameter Gompertz equation that predicted initiation of the flower bud and flowering stages at 644 and 1,369 GDD, respectively, and 90% of ramets at the flower bud and flowering stages at 1,522 and 2,113 GDD, respectively. Cumulative E. graminifolia seedling emergence ranged from 2.4 ± 0.8 to 4 ± 1 seedlings m−2, suggesting limited seedling emergence in lowbush blueberry fields. Seedling density from soil core samples, however, ranged from 38 ± 25 to 10,940 ± 1,456 seedlings m−2. These results suggest that E. graminifolia forms seedbanks in lowbush blueberry fields, despite the low levels of seedling emergence observed. Euthamia graminifolia seedling management should therefore be considered in current weed control programs, and growers can use the developed GDD models to aid the management of established plants.

Through the concept of the global sound archive, we propose a holistic perspective to study the sound universe accessible through the Internet. This concept refers to a reservoir of extremely heterogeneous, expansive, and unstable sound fixations that include musical expressions, soundscapes, corporeal sounds, voice messages generated through instant messaging apps, podcasts, and many other sonic phenomena. In the development of the article, we describe how agents contribute to this archive, where the sound fixations it contains are hosted, and what its central attributes are. This investigation is informed by concepts of diversity, expansiveness, instability, modularity, and intermediality.1

In 2019 and 2022, Indigenous leaders mobilized rural comunas in general strikes that forced the national government of Ecuador to negotiate the terms of newly introduced fiscal and policy measures. These mobilizations came despite long-term demographic decline in these same rural comunas. Further, the ministries charged with granting this authority to comunas today exercise little oversight. Why, then, has the comuna persisted as the preferred form of local organization amid widespread shifts to postagrarian ways of life? We have approached this problem through field research in over a dozen rural comunas, a review of comuna registrations, interviews with comuna leadership, and intergenerational dialogues among comuna members. In practical terms, we find comuna leadership consolidating an agenda focused on infrastructure development in the place of activism for land or the pursuit of agricultural investments. At the same time, it is through rituals of registration and management that local authorities not only find legitimacy but also secure a measure of “cultural autonomy” insofar as comuna members associate the disciplined fulfillment of procedures with the historical expansion of social rights. As the younger generation pursues nonagrarian careers, older comuna members underscore the mutuality of comuna life and lay out a moral purpose and a pathway that in effect centers state procedure as essential for indigenous autonomy.