Research Catalogue

My position is that knowledge about an artist and their work can be uncovered through close looking at their work and that some of this knowledge can be held and transferred tacitly to viewers (that are also artists). This knowledge can be articulated through practice, in this case in the making and subsequent close looking and reflection of the Selfish Portrait paintings. Because the knowledge is tacit, as opposed to propositional, the knowledge may be sensed, felt or difficult to articulate in words. Practice is the most appropriate vehicle to test whether this knowledge can shift from what Alexis Shotwell’s has articulated as ‘nonpropositional knowledge’ to ‘potentially propositional knowledge’. In Selfish Portraits I search for self-portraits by a range of dead artists in terms of geography, gender, race, ‘status’, time of working, style, etc. This necessitates (re)searching beyond my current knowledge base using gallery visits, internet searches and books. The selected self portrait(s) are subjected to a period of ‘looking attentively’ in order to visual interrelate and learn about the painting, and by extension the artist. The main focus is allowing the self portraits to ‘talk to me’ following the theoretical stance of the ‘active’ painting or picture, that knowledge is held in the painting itself and cannot always be found in (written) documentation.

Focaris parte de la conexión entre el fuego y el hogar como espacios de encuentro, protección y transformación. La obra se desarrolla a través de un diálogo entre la expresión individual y el encuentro colectivo, representado por la reunión en torno a una mesa o una hoguera. Cada bailarín expresa su "fuego interno" en solos apoyados por el grupo, generando conexiones y contrastes a través de la coreografía. La narrativa de la obra está construida bajo la estructura del teatro griego, donde el coro acompaña, enfatiza y dialoga con las acciones individuales. La accesibilidad está integrada en la dramaturgia, transformando la LSC, la audiodescripción y los elementos visuales en recursos estéticos.

The first edition of the Professional Doctorate (PD) Day took place on Tuesday 18 November at the Social Impact Factory in Utrecht. This event brought together PD candidates and their networks from all seven domains of the Professional Doctorate pilot to exchange ideas, explore crossovers, and strengthen interdisciplinary collaboration. The theme of this first PD Day, '𝘙𝘦𝘪𝘮𝘢𝘨𝘪𝘯𝘪𝘯𝘨 𝘜𝘳𝘣𝘢𝘯 𝘍𝘶𝘵𝘶𝘳𝘦𝘴 - 𝘐𝘯𝘵𝘦𝘳𝘷𝘦𝘯𝘪𝘯𝘨 𝘵𝘩𝘳𝘰𝘶𝘨𝘩 𝘗𝘳𝘢𝘤𝘵𝘪𝘤𝘦-𝘣𝘢𝘴𝘦𝘥 𝘙𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘧𝘰𝘳 𝘓𝘪𝘷𝘦𝘢𝘣𝘭𝘦 𝘊𝘪𝘵𝘪𝘦𝘴,' focused on the future of urban life. This theme is grounded in the United Nations 𝘚𝘶𝘴𝘵𝘢𝘪𝘯𝘢𝘣𝘭𝘦 𝘋𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵 𝘎𝘰𝘢𝘭 11: 𝘚𝘶𝘴𝘵𝘢𝘪𝘯𝘢𝘣𝘭𝘦 𝘊𝘪𝘵𝘪𝘦𝘴 𝘢𝘯𝘥 𝘊𝘰𝘮𝘮𝘶𝘯𝘪𝘵𝘪𝘦𝘴 and during the PD day, the theme is structured around five subthemes. Within these subthemes, we reflected on how we can shape cities that are inclusive, safe, resilient, and ecologically sustainable.

As interaction with corporate artificial intelligence increasingly becomes a precondition for contemporary life, artists need to see beyond Generative AI (GenAI) technology as a discrete tool that makes generic products. Instead, they can imagine combinatorial approaches and conceptual frameworks for AI-enabled artworks. Through my practice-based research, the act of prompting multimodal GenAI models has been informed by comprehending an assemblage as a “framework of instruction” held together through poetic alliances, within which the output from one component feeds the process of another. Practical experiments explored an interrelation of body, text, and predictive technology, where an algorithmic prediction of human action conjured “biometric poetry” that was used to stimulate a language model. Working with archival film footage and digital puppets animated with motion-capture files gave rise to the idea of a camera’s field of view – with its bounded contents acting like a key – eliciting value from a language model in a novel form of story making. Potential erroneous inferences were perceived as a new form of chance operation and a characteristic of algorithmic remix as defined by Steve F. Anderson. This method has been further developed in a project that combines performance, waste material, object recognition, and a language model to explore how the manipulation of garbage can be rationalised by a machine to produce poetic texts as a commentary to action portrayed on a screen.

This paper delves into the dynamics and dramaturgical specifications of ANA, a theatrical installation engineered for co-creating narratives in a dialogic process with individual users. ANA embodies a collaborative storytelling environment that is used to communicate narrative and emotional information through multiple modalities, thereby bringing into focus an unexpectedly human essence in a human-machine interaction. Integrating GPT-4, emotion-recognition algorithms and a simulation of its own affective state, ANA engages users in a 10-minute interaction, fostering an immersive narrative exchange where the affective dimension of collaborative storytelling takes precedence. This paper explores the specific challenges of prompt design in this setting, focusing on the concept of emotional attuning, the feeling of being “in sync” with a machine throughout the interaction. Through an analytical lens encompassing cognitive science, philosophy of mind, and prompting techniques, the authors describe and reflect practices of employing multimodal sensorial data such as emotion recognition, and dramatic considerations, into the process of designing prompts. They also describe and reflect on their attempts to establish a form of meta-communication with the machine about the emotional aspects of the experience. By focusing on dramaturgical and improvisational strategies, this paper underscores the pivotal significance of emotional attunement and multimodal communication in fostering intimate technological engagement.

How useful can AI be at this present moment to generate assignments or instructions to teach and train people to live more playful, creative and ethical lives? In this artistic research, I try to put aside fears of a dystopian future in which runaway AI assumes control over humanity, and suspend them long enough to play with the idea of reversing the usual dynamic: what if AI were to instruct us, instead of us instructing AI? What kind of positive outcomes could emerge? I borrow from traditions of instruction art and avant-garde art, and I employ discursive practices that alternate between techno-enthusiastic and techno-skeptical. The AI tool ChatGPT and I hold conversations in which we explore the research question together, and in which I prompt ChatGPT to issue me instructions, then I describe the process and result of executing the instructions.