This paper describes the development and results of the pedagogical photo-based method PhotoReflexivity. This method is designed to support reflexivity for students in design education, which guides them in better understanding and situating themselves in the outside world. To uncover the value of this method, mixed research methods including iterative prototypes were deployed in real-world learning scenarios with design students. Attitudes, behaviour, and reflexive conversations were analysed, from which design patterns and recommendations were derived. It is argued that PhotoReflexivity fills a gap in design education by aiming for extensive and transformational outcomes associated with reflexivity, which previous research has considered hard to achieve. It does so by providing pragmatic technologies and materials to support 1) sharing and collaboration, and 2) verbalising reflexive thoughts. By facilitating reflexivity, students might become more autonomous and responsible design professionals.
Social issues are becoming increasingly pressing. From dementia to climate change to corona; we as people, citizens, residents and city users - through our own experience or otherwise - have a sense of them. However, truly understanding and addressing these issues is difficult because there is no single owner. Everything is related, intertwined and also changing. Getting an overview and deciding together on necessary steps proves difficult. Complex issues thus become orphaned. Design and more specifically co-design - creative collaboration with others - is increasingly seen as a possible approach to these such issues and collaborations because it can deal with complexity and uncertainty, is optimistic and investigative in nature. With a co-design approach, we can find a shared desire and with that we connect with each other. By then searching together for mechanisms that can lead to the desired values, we gain insights on how to tilt a problematic situation. That enables us to imagine alternative futures. These help us on our way to a better, greener and more social world and social change.
Critical reflection, addressing students’ attitude, beliefs and values related to pressing topics in the world, plays a crucial role in developing ethical sensitiveness and critical design literacy in design education. Critical reflection is provoked by discussing self-made photos, as is demonstrated in the research method Photovoice. This paper considers Photovoice in design education for its ability to foster learning through self-guided critical reflective interactions with peers based on self-made photos. Research on how to support this is lacking. This paper addresses this gap by studying students engaging in self-guided Photovoice assignments. Results consist of adapted steps for Photovoice in education and illustrate potential as well as boundaries of self-guided Photovoice through students’ quotes and photomaps. Also, five frames of interpretation, suggested by students engaged in self-guided Photovoice, contribute to previous knowledge and may inspire the design education community to start experimenting with Photovoice in course work. The final aim is to support students in critical reflection, a crucial skill for responsible design professionals.
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Human kind has a major impact on the state of life on Earth, mainly caused by habitat destruction, fragmentation and pollution related to agricultural land use and industrialization. Biodiversity is dominated by insects (~50%). Insects are vital for ecosystems through ecosystem engineering and controlling properties, such as soil formation and nutrient cycling, pollination, and in food webs as prey or controlling predator or parasite. Reducing insect diversity reduces resilience of ecosystems and increases risks of non-performance in soil fertility, pollination and pest suppression. Insects are under threat. Worldwide 41 % of insect species are in decline, 33% species threatened with extinction, and a co-occurring insect biomass loss of 2.5% per year. In Germany, insect biomass in natural areas surrounded by agriculture was reduced by 76% in 27 years. Nature inclusive agriculture and agri-environmental schemes aim to mitigate these kinds of effects. Protection measures need success indicators. Insects are excellent for biodiversity assessments, even with small landscape adaptations. Measuring insect biodiversity however is not easy. We aim to use new automated recognition techniques by machine learning with neural networks, to produce algorithms for fast and insightful insect diversity indexes. Biodiversity can be measured by indicative species (groups). We use three groups: 1) Carabid beetles (are top predators); 2) Moths (relation with host plants); 3) Flying insects (multiple functions in ecosystems, e.g. parasitism). The project wants to design user-friendly farmer/citizen science biodiversity measurements with machine learning, and use these in comparative research in 3 real life cases as proof of concept: 1) effects of agriculture on insects in hedgerows, 2) effects of different commercial crop production systems on insects, 3) effects of flower richness in crops and grassland on insects, all measured with natural reference situations
Grid congestion has caused significant issues for many businesses and consumers, leading to pressing questions about potential expansion, the configuration of electrical infrastructure, opportunities to reduce energy usage, and the impacts of installing photovoltaic (PV) systems. This project is dedicated to developing a digital twin energy management system within an energy hub to enhance efficiency and sustainability. By integrating state-of-the-art digital twin technology with various energy systems, the project, led technically by HAN University of Applied Sciences and with security managed by Impact Iot Solutions, aims to optimize the management of diverse energy sources like solar panels, heat pumps, and storage systems. Central to our approach is ensuring that all data collected during the project, which includes system performance metrics but excludes any personal user information, is used responsibly and stored securely. Local storage at the energy hub allows real-time monitoring and data analysis, with secure remote access for project partners to facilitate collaboration. At the project's conclusion, non-sensitive data will be made publicly available on an open platform, promoting transparency and enabling further research and development by the broader community. This initiative not only seeks to improve energy management practices but also aims to serve as a model for future digital twin implementations in energy hubs worldwide. By focusing on innovation, privacy, and community engagement, the project represents a significant step forward in the integration of digital technologies into sustainable energy solutions.
