A flash fiction horror story, written by Prof. Mata Haggis-Burridge, produced in audio format by the NoSleep Podcast. Only available to subscribers to the NoSleep Podcast. NoSleep is one of the largest horror fiction podcasts online. 'Flash fiction' is a form of writing that tries to tell the story in as few words as possible, requiring very brief development of scene, conflict, and resolution all within a few hundred words or less.
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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?
Head-mounted displays (HMDs) have been available for several years now, but uptake has been slow so far. The objective of this study was to gain insight into preferences on anticipated use in the early phase of HMDs with augmented reality. A survey was conducted among Dutch students following a nursing or social work education (N=100). Results showed that almost nobody had ever used a HMD. The areas of high interest of anticipated use of HMDs lies especially in receiving information regarding emergencies via the HMD if something is happening close to people's physical location and news and general information about physical location. For potential use functionalities, the most interesting functions reported by respondents were using HMDs for hands-free calling and receiving information about their behavioral patterns with regard to movement. The attitudes towards receiving non-visible cues in social interaction such as detecting stress levels or mood were all reported with a negative attitude. More than half of the respondents reported to have an intention to use a HMD in the future.
expressiveness, performance, musicians, skills, educationUsing the genre of Improvisational theatre as a basis, my research aims to design and develop instructional strategies that would help students enhance their expressive skills and achieve the flexibility to adapt their motor behavior to the musical piece. Embodying diverse characters and physicalities, as well as affective states or fictional realities through improv theatre exercises should enable them to expand their expressive range and, therefore, better convey their interpretation to their audience. Through this process, this study also seeks to gain an understanding of the effect this type of training may have on musicians' performance experience, as well as its implications in other areas of their development.
Implanting biocompatible materials is nothing new, 3D printing of cells and extracellular matrix is well underway so growing replacement tissues in a lab is within reach. However, certain obstacles remain: How to culture functional tissues with robust and reproducible 3D architecture? Application of support structures can aid, but what if such scaffolds obstruct functionality of the graft while having limited chance of being degraded within the recipient’s body? Bioplastics are polymers of natural origin that can be degraded enzymatically. We want to use bioplastics for production of 3D printed mesh scaffolds that support cell adhesion, proliferation, differentiation, and maturation (Fig. 1). These scaffolds are designed to be temporal and sacrificial: enzymes will be used to remove the scaffold in a tissue friendly manner prior to implantation allowing tailor made, functional and ideally ‘self-only’ grafts.
Sleuteltechnologieën stellen ons in staat om steeds doelgerichter te handelen. Voedselveiligheid is een belangrijk gebied waar deze technologieën een rol kunnen spelen. Een voorbeeld is de inzet van nieuwe DNA‐technieken om de bron van een voedselinfectie op te sporen. Dat dit geen science fiction meer is bleek onlangs uit het achterhalen van de bron van een reeks ernstige besmettingen met de bacterie Listeria monocytogenes. Met behulp van Whole Genome Sequencing (WGS) kon de bron, een vleeswarenfabriek, worden achterhaald. Op dit moment wordt deze analysetechniek vooral ingezet door overheidsinstanties, maar het biedt ook perspectief voor de beheersing van de voedselveiligheid door de bedrijven zelf. Het doel van het Precision Food Safety project is om de voedselverwerkende industrie voor te bereiden op de uitdagingen en mogelijkheden van het gebruik van moderne DNA‐sequencing technologieën voor de monitoring en controle van de productiefaciliteiten op pathogene bacteriën. In het project zal de mogelijkheid van toepassing van WGS voor de detectie van pathogene bacteriën in de productieketen worden onderzocht. Hiervoor zal de MinION een mini DNAsequencer worden ingezet. Tijdige detectie en identificatie van pathogene bacteriën stelt bedrijven in staat tot sneller ingrijpen, waarmee kan worden voorkomen dat besmette producten in de winkelschappen terecht komen. Daarnaast zullen de effecten van hygiënische maatregelen worden onderzocht en een visualisatietool worden ontwikkeld waarmee de resultaten van het onderzoek van een productielocatie kunnen worden weergegeven. De focus zal liggen op Listeria monocytogenes, omdat deze bacterie momenteel gezien wordt als de grootste voedselveiligheidsuitdaging in deze tijd. De in het project ontwikkelde methoden moeten de voedingsindustrie tools in handen geven voor “precision food safety”. In het project participeren bedrijven uit verschillende sectoren van de voedselverwerkende industrie en bedrijven die diensten verlenen op het gebied van voedselveiligheid.
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