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Research trends in environmental psychology : a bibliometric analysis of peer-reviewed publications, 2004-2024
Get PDFDiscussions about environmental psychology’s constituent research topics and future directions have persisted over several decades. In this bibliometric analysis we analysed author keywords from 4,313 journal articles, published between 2004 and 2024, from twosources: 1) key environmental psychology journals (Journal of Environmental Psychology, Environment and Behavior, PsyEcology: Bilingual Journal of Environmental Psychology, Frontiers in Psychology: Environmental Psychology, and Global Environmental Psychology)and 2) other journals where authors explicitly provided ‘environmental psychology’ as an article keyword. Using VOSviewer software, we produced maps of a) co-authorship and country collaborations; and b) author keyword co-occurrences to visualise topic clusters overall (2004-2024) and in discrete time periods (2004-2008, 2009-2013, 2014-2018, and 2019-2024). Co-authorship networks tended to relate to specific topics, with limited evidenceof collaboration across topics or with authors in the Global South. Keyword co-occurrence mapping revealed eight overarching topic clusters: human–nature relationships; children’s experiences of environments; virtual environments; pro-environmental behaviour; neighbourhood and built environment; place attachment; stress and wellbeing; and climate change. We observed a significant expansion in research on pro-environmental behaviour, sustainability and climate change within environmental psychology, and a decrease over timein the visibility of research on the built environment. We suggest that environmental psychology has the potential to make greater contributions to research on conflict, migration, ageing, the built environment, and considerations of cultural and individual differences in environmental experiences
Towards reliable conversational data analytics
No full textConversational AI systems for data analytics aim to enable the extraction of analytical insights by means of conversational interfaces. Such interfaces are powered by a mix of query modalities and machine learning methods for analytics, and are relying on Large Language Models (LLMs) for natural language generation. However, critical challenges hinder their adoption. The question we discuss is how to devise reliable Conversational Data Analytics (CDA) systems producing timely, consistent, and verifiable answers. To reach this goal, we identify five properties that impose a paradigm shift in the way systems are built and in the way they interact with users. To illustrate that shift, we describe a prototypical CDA system. Realizing these properties involves either extending existing components, or redesigning components from scratch; both solutions require overcoming data management challenges and conducting a tight integration with advanced data management and machine learning techniques
Reinigung im Spitalneubau : zukunftsorientierte und digitalisierte Reinigung in die Planung integriert
No full textDer Artikel beleuchtet, welche Anforderungen an eine zukunftssichere, digitale Reinigung bereits in der Planungsphase von Gebäuden berücksichtigt werden sollten. Auf Basis einer Bachelorarbeit werden konkrete Handlungsempfehlungen vorgestellt, wie entsprechende Massnahmen zur Effizienzsteigerung und Digitalisierung systematisch in den Planungsprozess integriert werden können
DAOs as property owners : a conceptual exploration from the perspective of organizational system theory
No full textThe development of Bitcoin and its underlying technology blockchain has enabled a new phenomenon called decentralized autonomous organizations (DAOs). DAOs can be perceived as self-governing organizations whose management is based on programmed and encoded rules on a decentralized and distributed peer-to-peer network. These DAOs typically manage and allocate funds, often in the form of cryptocurrencies. However, in recent years, a variety of DAOs have been established to provide services (e.g., currency exchange, project financing), curate collections (e.g., art collections), or own and manage real assets (e.g., land). Currently, DAO literature focuses mainly on online communities managing digital assets; however, DAOs owning physical properties differ from them in localized communities, asset indivisibility, and additional complexity in collective acquisition, ownership, limited physical capacity, and decentralized governance. Such property-owning DAOs are interesting, because they fuel the transition from purely online organizations into organizations integrating with the physical world. From an organizational system theory perspective this article explores how a DAO owning properties could be designed by exploring three DAO projects that own properties. Applying a conceptual research design, we first identify DAO Design Principles obtained by traditional organizational system theory, followed by examining and describing the core organizational principles for property-owning DAOs. Based on a comprehensive discussion of the conceptual findings, we present a research agenda for further studies on DAOs owning properties
MORCDA – Making Open Research Data Suitable for Comparative Discourse Analysis
No full textGefördert von OSCARS der Europäischen Kommission im Rahmen von Horizon Europe
Gendered employment trajectories and later life health in liberal regime countries : a quantitative study in the United States, England, Switzerland and Chile
No full textWe explore the association between adulthood employment patterns and later life health among men and women in four liberal regime countries: two from Europe (England and Switzerland) and two from the Americas (United States and Chile). We carefully harmonized life-history data from the surveys SHARE (N = 1,143), HRS (N = 4,006), ELSA (N = 3,083), and EVDA (N = 802). The samples included individuals born between 1944 and 1954, with information on employment histories from age 15 to 65 and on 11 health outcomes in later life. In line with welfare regime and health literature, we find significant differences in health outcomes between countries, which are likely explained by differences in health systems. However, we extend previous literature by showing that positive health outcomes are consistently explained by standard employment histories, and poor health outcomes are consistently explained by non-standard employment histories. Importantly, men and women following the same employment pathway across countries are either similarly penalized or compensated in their health. This suggests that it is not gender per se that affects health in later life, but the employment trajectory experienced. Nonetheless, women are disproportionately more likely to experience non-standard employment and thus suffer a greater health disadvantage. Policy measures to mitigate negative health effects of non-standard employment trajectories may therefore pay attention to the specific reasons why women are more likely to experience non-standard trajectories
