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This study examines the notion of substitutionalism, which assumes that the introduction of sustainable alternatives will inherently displace unsustainable production and consumption systems. By studying the emergence of two historical examples of sustainable consumption, book and video rental, this study offers a unique opportunity to understand the effects of sharing from a distance and as a dominant consumption practice. The findings show that commercial lending did not displace new sales; instead, it transformed these subjects into mass-consumer products. Rental offered a lower price, greater supply, established new branches, and turned reading books and watching movies at home into consumer cultures. Producers initially resisted rental, but seized shares of the income as rental grew, and controlled the rental market so that cannibalization of the conventional consumption practices was avoided. This research challenges the core assumption of substitutionalism and highlights the need for a deeper understanding of market dynamics. QC 20240403

Over the past half century, the global environment has become subject to an accelerated pace of mediation and datafication. This ongoing transition has become so comprehensive that the knowledge, management and governance of the Earth system is dependent on enormous flows of data from a “vast machine” of measuring tools. These processes combined have formed what we call a “mediated planet,” subject to interpretation and shared human decision-making – that should ideally be democratic, inclusive and accountable. As environmental datafication continues to accelerate, private corporations are gaining increasing influence on and power over the associated collections of data. This is a cause for concern, as the global environmental commons are a public interest of concern to all people. This article argues for the need to critically research the challenges and risks associated with the rapid datafication of the environment, specifically in relation to the UN Sustainable Development Goals (SDGs) for climate change (13), the ocean (14), biodiversity (15) and inclusive and accountable institutions (16). More knowledge is needed of how the SDGs and their supporting networks influence data-generation on a mediated planet, and how issues of access to and use of environmental data, as well as data ownership and AI implementation, can best be navigated. We contend that such knowledge can help enhance the democratic potential of the SDGs to build public trust and secure broad participation in global environmental governance in ways that also support peaceful and inclusive societies, as promised by SDG 16. QC 20240115

Sports historians have argued that the type of ball games commonin the British Isles, which were practiced by two teams andin which the ball was driven with sticks towards predeterminedgoals – i.e., hurling, shinty, bandy and hockey – were never playedin early modern Sweden. By highlighting descriptions of ballgames in Johannes Schefferus’s The History of Lapland (1674), asource previously ignored by sports historians, this article challengessuch a claim. One of the games described by Schefferus hassome similarities with the violent stick-and-ball game known inIcelandic sagas as knattleikr. Even greater similarities (such as thestart of the game with a face-off and the goals consisting of lineson the short edges) emerge when the game is compared with theScottish game of shinty. Thus, pre-modern Scandinavia does notappear to have been as isolated in terms of sports and games ashas been suggested by Swedish sports historians.

The concept of a Positive Energy District (PED) has become a vital component of the efforts to accelerate the transition to zero carbon emissions and climate-neutral living environments. Research is shifting its focus from energy-efficient single buildings to districts, where the aim is to achieve a positive energy balance across a given time period. Various innovation projects, programs, and activities have produced abundant insights into how to implement and operate PEDs. However, there is still no agreed way of determining what constitutes a PED for the purpose of identifying and evaluating its various elements. This paper thus sets out to create a process for characterizing PEDs. First, nineteen different elements of a PED were identified. Then, two AI techniques, machine learning (ML) and natural language processing (NLP), were introduced and examined to determine their potential for modeling, extracting, and mapping the elements of a PED. Lastly, state-of-the-art research papers were reviewed to identify any contribution they can make to the determination of the effectiveness of the ML and NLP models. The results suggest that both ML and NLP possess significant potential for modeling most of the identified elements in various areas, such as optimization, control, design, and stakeholder mapping. This potential is realized through the utilization of vast amounts of data, enabling these models to generate accurate and useful insights for PED planning and implementation. Several practical strategies have been identified to enhance the characterization of PEDs. These include a clear definition and quantification of the elements, the utilization of urban-scale energy modeling techniques, and the development of user-friendly interfaces capable of presenting model insights in an accessible manner. Thus, developing a holistic approach that integrates existing and novel techniques for PED characterization is essential to achieve sustainable and resilient urban environments.

Waste management has been developing in response to needs. The need to get rid of unwanted materials has always been a motivation but using the resource value of waste has also been a driver from the stone age and forwards. In affluent times not so much. Sanitation became a motivation with the discovery of pathogenic microorganisms in the mid-19th century, and after World War 2 (WW2) a strong focus on environmental protection developed, and in recent times, the resource aspect has received an interest despite material affluence. Legislation has been one of the drivers for recent developments, in the case of Sweden, the environmental protection legislation came in the late 1960s, and a few years later, the municipalities got the exclusive right to collect and manage household waste. Many local and regional waste management companies were established, owned by the municipalities. These organizations became agents of development, due to the increased scope and capacity. Adding to the environmental protection agenda, a renewed interest in waste as a resource was initiated by the oil crises of the 1970s, resulting in new waste incineration plants, with energy recovery, connected to already existing district heating networks. Mistakes, failures and alarms in the 1970s and the 1980s resulted in treatment method improvements and the establishment of source separation as an integral part of waste management. The waste management community stands strong today and is taking a more proactive role than before, which includes a stronger focus on communication with other stakeholders.

Network visualization is one of the most widely used tools in digital humanities research. The idea of uncertain or “fuzzy” data is also a core notion in digital humanities research. Yet network visualizations in digital humanities do not always prominently represent uncertainty. In this article, we present a mathematical and logical model of uncertainty as a range of values which can be used in network visualizations. We review some of the principles for visualizing uncertainty of different kinds, visual variables that can be used for representing uncertainty, and how these variables have been used to represent different data types in visualizations drawn from a range of non-humanities fields like climate science and bioinformatics. We then provide examples of two diagrams: one in which the variables displaying degrees of uncertainty are integrated/pinto the graph and one in which glyphs are added to represent data certainty and uncertainty. Finally, we discuss how probabilistic data and what-if scenarios could be used to expand the representation of uncertainty in humanities network visualizations.

Introduction to special issue.

Abstract Background The COVID-19 control policies might negatively impact older adults’ participation in volunteer work, instrumental support provision, and the likelihood of receiving instrumental support. Studies that quantify changes in these activities and the related factors are limited. The current study aimed to examine the level of volunteering, instrumental support provision and receipt before and during the first phase of the COVID-19 pandemic in Europe and to determine whether older adults’ volunteering, instrumental support provision and receipt were associated with individual exposure to COVID-19 and the stringency of country’s COVID-19 control policy during the first phase of the COVID-19 pandemic. Methods A cross-sectional survey using data from the Survey of Health, Ageing and Retirement in Europe (SHARE) Corona Survey 1 was designed to focus on community-dwelling Europeans aged ≥50 years. History of participation in volunteering work and instrumental support provision or receipt was assessed from the previous SHARE Wave data. The country’s COVID-19 control policy stringency index (S-Index) was from the Oxford COVID-19 Government Response Tracker database. A total of 45,669 respondents from 26 European countries were included in the volunteering analysis. Seventeen European countries were included in the analyses of instrumental support provision (N = 36,518) and receipt (N = 36,526). The multilevel logistic regression model was fitted separately to analyse each activity. Results The level of volunteering and instrumental support provision was lower during the pandemic, but instrumental support receipt was higher. The country S-Index was positively associated with support provision (OR:1.13;95%CI:1.02–1.26) and negatively associated with support receipt (OR:0.69;95%CI:0.54–0.88). Exposure to COVID-19 was positively associated with support receipt (OR:1.64;95%CI:1.38–1.95). COVID-19 exposure on close ones positively associated with volunteering (OR:1.47;95%CI:1.32–1.65), support provision (OR:1.28;95%CI:1.19–1.39), and support receipt (OR:1.25;95%CI:1.15–1.35). Conclusions The COVID-19 pandemic impacted older Europeans’ volunteering, instrumental support provision, and instrumental support receipt from outside their household. When someone close to them was exposed to COVID-19, older Europeans were likely to receive instrumental support and to volunteer and provide instrumental support. A stricter country’s COVID-19 control policy might motivate older adults to provide instrumental support, but it prevents them from receiving instrumental support from outside their households.