University of Lapland

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    China in the Arctic Governance System in the New Cold War Era

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    This chapter argues that China plays an increasingly influential role in the post-February 2022 Arctic governance system, especially in the contexts of environmental, economic, and military governance. Due to the party-state’s limited role in the Arctic Council, global institutions are currently the most important platforms for China to contribute to Arctic environmental governance. As for Arctic economic governance, Chinese actors play a crucial role in defining political conditions under which international Arctic economic projects may operate, as its continued operations in the Yamal LNG Project demonstrate. Yet, intensifying great power rivalry makes the ability of Chinese companies to access the region increasingly challenging, restricting the indirect role of Chinese actors in defining regional business practices. Finally, the military governance system has changed significantly in the post-February 2022 Arctic; a process in which China has underlined its in-principle opposition to NATO enlargement. NATO’s Arctic expansion certainly diminishes China’s room for manoeuvre at a regional level, leaving Russia as the only plausible partner for Beijing’s Arctic military and paramilitary aspirations. The chapter concludes that in the coming years, China’s policy choices, especially concerning its military and economic cooperation with Russia, undoubtedly stand to shape the future of the Arctic governance system

    Observation of Change as a New Genre Arctic Art

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    This chapter explores the integration of art and science in ecological restoration efforts within the Junkerdal National Park area in Norway, where native mountain birch forests are threatened by the plantation and spread of non-native spruce trees. The project “Observation of Change” (OOC), running from 2023 to 2025, brings together artists and biological science to address environmental challenges through creative and transdisciplinary approaches. The collaboration highlights the role of art in fostering empathy, communicating scientific research, and supporting the decolonization of nature while removing invasive species to protect native ecosystems. Through the concept of New Genre Arctic Art, the project emphasizes the importance of political and pedagogical art in promoting sustainability and redefining human relationships with the environment. The chapter discusses how artworks created within the OOC project document ecological changes, enhance public understanding of biodiversity, and contribute to the revitalization of Arctic ecocultures. By engaging with ecocultural traditions, such as root binding, the project aims to foster cultural values related to conservation. The insights gained from this collaboration are expected to inform future educational practices and contribute to a broader global discourse on ecological and multispecies approaches in contemporary art

    Emerging Technologies in Digital Twin:Reflections on Self-Leadership and Addiction Recovery

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    The chapter combines emerging research on the digital twin, particularly on the natural language processing (NLP) technologies of AI and self-leadership. It applies the theories to one of the fastest-growing challenges of late postmodern humans: addiction. The chapter addresses the question of how language-based digital twins (LBDT) affect the self-leadership process of addiction redundancy. After reviewing the contemporary research literature, the chapter presents a case in which LBDT engages in understanding an appropriate approach to the self-leadership phenomenon and strategy. The case suggests that the addictive worldview and behavior is something more general for a late post-human society than a distinct health care problem. Self-leadership as a concept shifts the study of addiction toward strategic action. However, self-leadership research has yet to adopt an LBDT perspective in general and on phenomena such as addiction. Furthermore, the self-leadership methodology addresses a person's view on the level of strategies but does not combine them against various self-leadership challenges. The case highlights how LBDT can be associated with a user-designed, multiple-level, self-leadership approach in the context of addictive worldviews and behaviors. The limitations related to LBDT transparency, extension, and epistemology are considered.The chapter combines emerging research on the digital twin, particularly on the natural language processing (NLP) technologies of AI and self-leadership. It applies the theories to one of the fastest-growing challenges of late postmodern humans: addiction. The chapter addresses the question of how language-based digital twins (LBDT) affect the self-leadership process of addiction redundancy. After reviewing the contemporary research literature, the chapter presents a case in which LBDT engages in understanding an appropriate approach to the self-leadership phenomenon and strategy. The case suggests that the addictive worldview and behavior is something more general for a late post-human society than a distinct health care problem. Self-leadership as a concept shifts the study of addiction toward strategic action. However, self-leadership research has yet to adopt an LBDT perspective in general and on phenomena such as addiction. Furthermore, the self-leadership methodology addresses a person's view on the level of strategies but does not combine them against various self-leadership challenges. The case highlights how LBDT can be associated with a user-designed, multiple-level, self-leadership approach in the context of addictive worldviews and behaviors. The limitations related to LBDT transparency, extension, and epistemology are considered

    Proactive Privacy Communication Design for Emotional Robots

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    This chapter discusses a proactive approach to privacy communication and emotional robots, which are becoming an important part of human–machine interaction. These robots use emotional AI and are able to recognize and respond to human emotions. While there are many benefits associated with the mainstreaming of robotics, there are also significant personal data and privacy concerns involved in the use of emotional AI and robots. As a result, several initiatives to regulate the use of (emotional) AI have been made. This chapter argues that in addition to regulation, a proactive approach to privacy communication is needed in order for users of emotional robots to give consent to the collection of personal data. Tools based on the proactive approach and information design research and methods—multichannel communication, plain language, tone of voice, visualization and tailoring—make it possible to communicate personal data and privacy choices effectively to users: when robots communicate clearly through speech, gestures and screens, even less motivated users can make informed choices about whether to give their consent to the processing of their personal data. In addition, these tools make communication more effective, comprehensible and engaging for the user. The goal is that anyone who interacts with robots can do it safely and by making informed choices

    Saren, Vilma Karoliina

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    Exploring the Influence of Narrative in VR Games:Players Gameful Experience and Empathy

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    This study used eye-tracking interaction to investigate how narrative influences players’ gameful experience and empathy in a virtual reality (VR) shooting game. Participants were assigned to either an empathy-driven condition or a neutral condition. Quantitative and qualitative data were collected through a questionnaire, open-ended responses, and interviews. Results showed that the empathy-driven narrative significantly enhanced players’ sense of immersion but had no measurable effect on empathy-related reflections. These findings suggest that narrative can strengthen immersion in VR, even with minimal interaction methods like eye tracking. However, its potential to foster empathy may be limited in fast-paced game contexts without deeper narrative integration. The study highlights the importance of aligning narrative design with gameplay mechanics to support emotional engagement in VR experiences

    Data from Stark and Manninen: Plant δ15N signatures in historical reindeer corrals in boreal forests show long-term immobilization of animal-derived nitrogen in bryophytes and plant litter

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    This datafile consists the biomasses of the dominant understorey plant species and functional types as well as their δ15N an δ13C signatures in 26 control forests and historical reindeer (Rangifer tarandus L.) corrals used in animal husbandry between late 1800’s to early 1960’s. The forest sites were assigned to two forest types that represent different levels of site productivity: mesic forests (high productivity; N = 8) and sub-xeric forests (low productivity, N = 18)

    Vahtola, Jenni Maria

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    LaCRIS - University of Lapland Current Research System
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