This paper introduces and contextualises Climate Futures, an experiment in which AI was repurposed as a ‘co-author’ of climate stories and a co-designer of climate-related images that facilitate reflections on present and future(s) of living with climate change. It converses with histories of writing and computation, including surrealistic ‘algorithmic writing’, recombinatory poems and ‘electronic literature’. At the core lies a reflection about how machine learning’s associative, predictive and regenerative capacities can be employed in playful, critical and contemplative goals. Our goal is not automating writing (as in product-oriented applications of AI). Instead, as poet Charles Hartman argues, ‘the question isn’t exactly whether a poet or a computer writes the poem, but what kinds of collaboration might be interesting’ (1996, p. 5). STS scholars critique labs as future-making sites and machine learning modelling practices and, for example, describe them also as fictions. Building on these critiques and in line with ‘critical technical practice’ (Agre, 1997), we embed our critique of ‘making the future’ in how we employ machine learning to design a tool for looking ahead and telling stories on life with climate change. This has involved engaging with climate narratives and machine learning from the critical and practical perspectives of artistic research. We trained machine learning algorithms (i.e. GPT-2 and AttnGAN) using climate fiction novels (as a dataset of cultural imaginaries of the future). We prompted them to produce new climate fiction stories and images, which we edited to create a tarot-like deck and a story-book, thus also playfully engaging with machine learning’s predictive associations. The tarot deck is designed to facilitate conversations about climate change. How to imagine the future beyond scenarios of resilience and the dystopian? How to aid our transition into different ways of caring for the planet and each other?
This study investigates the mediating role of organizational citizenship behaviours (OCBs) on the leader-member exchange (LMX) and employee performance relation and the degree to which work experience moderates the relation between leader-member exchange and OCBs. Lecturers from six technical universities in Ghana, making up three hundred and thirty-six lecturers, were selected using convenience sampling. The participants completed self-administered surveys. OCBs fully mediated the association between LMX and employee performance. Furthermore, the findings indicate that the interplay between LMX and work experience on OCBs is compensatory in nature such that as work experience increases, the positive association between LMX and OCBs decrease. Managers of higher education institutions should create enabling work environments that encourage high-quality LMX and citizenship behaviours. Moreover, as work experience tends to attenuate the positive influence of LMX on OCBs, managers in higher education should focus their attention on employees with low rather than high work experience. This research adds to the employee performance literature through examining a novel link among leader-member exchange, organizational citizenship behaviours and performance.
Key takeaways from the project underscore the importance of fostering long-term collaborations between technical experts, communities, and institutional partners. By integrating technical innovation with human-centred design, the SUSTENANCE project has not only advanced renewable energy adoption but also established a framework for empowering communities to actively participate in sustainable energy transitions. Moving forward, the lessons learned, and solutions developed provide a solid foundation for addressing future challenges in energy system decarbonization and resilience.
MULTIFILE
Due to the existing pressure for a more rational use of the water, many public managers and industries have to re-think/adapt their processes towards a more circular approach. Such pressure is even more critical in the Rio Doce region, Minas Gerais, due to the large environmental accident occurred in 2015. Cenibra (pulp mill) is an example of such industries due to the fact that it is situated in the river basin and that it has a water demanding process. The current proposal is meant as an academic and engineering study to propose possible solutions to decrease the total water consumption of the mill and, thus, decrease the total stress on the Rio Doce basin. The work will be divided in three working packages, namely: (i) evaluation (modelling) of the mill process and water balance (ii) application and operation of a pilot scale wastewater treatment plant (iii) analysis of the impacts caused by the improvement of the process. The second work package will also be conducted (in parallel) with a lab scale setup in The Netherlands to allow fast adjustments and broaden evaluation of the setup/process performance. The actions will focus on reducing the mill total water consumption in 20%.
This PD project explores alternative approaches to audiovisual technologies in art and creative practices by reimagining and reinventing marginalized and decommodified devices through Media Archaeology, artistic experimentation, and hands-on technical reinvention. This research employs Media Archaeology to uncover “obsolete” yet artistically relevant technologies and hands-on technical reinvention to adapt these tools for contemporary creative practices. It seeks to develop experimental self-built devices that critically engage with media materiality, exploring alternative aesthetic possibilities through practice-based investigations into the cultural and historical dimensions of media technologies. These developments provide artists with new creative possibilities beyond mainstream commercial standardized tools and infrastructures. A key component of this project is collaborative innovation with artist-run analog film communities, such as Filmwerkplaats. By fostering knowledge exchange and artistic experimentation, this research ensures that reinvented tools remain relevant to both analog film communities and contemporary media art practices. The intended outcomes directly benefit two key groups: • Artist-run film labs gain sustainable methods for evolving their practices, reducing dependence on scarce, out-of-production equipment. • Digital-native artists are introduced to alternative methods for engaging with analog processes and media materiality, expanding their creative toolkit. This collaboration also strengthens art and design education by embedding alternative technological perspectives and research methodologies into curricula, providing students and practitioners with resourceful, sustainable approaches to working with technology. It advocates for a more diverse educational paradigm that incorporates media-technological history and critical reflection on the ideologies of linear technological progress. Ultimately, this research fosters critical discourse on media culture, challenges the dominance of corporate proprietary systems, and promotes innovation, redefining the relationship between creativity and technology.
In societies where physical activity levels are declining, stimulating sports participation in youth is vital. While sports offer numerous benefits, injuries in youth are at an all-time high with potential long-term consequences. Particularly, women football's popularity surge has led to a rise in knee injuries, notably anterior cruciate ligament (ACL) injuries, with severe long-term effects. Urgent societal attention is warranted, supported by media coverage and calls for action by professional players. This project aims to evaluate the potential of novel artificial intelligence-based technology to enhance player monitoring for injury risk, and to integrate these monitoring pathways into regular training practice. Its success may pave the way for broader applications across different sports and injuries. Implementation of results from lab-based research into practice is hindered by the lack of skills and technology needed to perform the required measurements. There is a critical need for non-invasive systems used during regular training practice and allowing longitudinal monitoring. Markerless motion capture technology has recently been developed and has created new potential for field-based data collection in sport settings. This technology eliminates the need for marker/sensor placement on the participant and can be employed on-site, capturing movement patterns during training. Since a common AI algorithm for data processing is used, minimal technical knowledge by the operator is required. The experienced PLAYSAFE consortium will exploit this technology to monitor 300 young female football players over the course of 1 season. The successful implementation of non-invasive monitoring of football players’ movement patterns during regular practice is the primary objective of this project. In addition, the study will generate key insights into risk factors associated with ACL injury. Through this approach, PLAYSAFE aims to reduce the burden of ACL injuries in female football players.
