Research Catalogue

short bio and cv

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.

Norths: Navigating Instability By Ear exposes a diversity of transdisciplinary artistic research threads within Norths, a growing body of environmental sound art practice at an intersection of data and listening experience. By rendering intangible data representations physically perceptible, ‘northness’ - understood as location, place, idea, and fiction - becomes a site for material interrogation of ‘standards’ applied to measurement, perception, being, knowing, and acting. Critical phenomenological and ecological issues emerge from the noise encountered when sonifying (near) real-time seismic and geomagnetic data, as well as data from communication systems. In the present exposition conceptual corollaries from my experience making, reflecting on, and exhibiting these works are diffracted through language in a project to expose the material propositions of these works themselves. Cross-modulation (feedback) loops established within this exposition connect artistic practice to philosophical-linguistic expression, providing both an explication and an exploratory continuation of my ongoing research practice.

Pětice skladatelů – pedagog, tři studenti a jedna studentka se vydali naslouchat zvukové krajině polského předhůří Krkonoš, aby zkoumali vliv subjektivní percepce na výslednou podobu skladby. Nejdříve zaznamenávali své zvukoprostorové poslechové zkušenosti graficky do skicáků. Vzápětí formulovali tvůrčí záměry skladeb pro komorní ansámbl, které z těchto zkušeností vycházejí. V následujících čtyřech měsících zkomponovali studie s vědomím, že jsou určeny ke studiové realizaci. Kompoziční studie poté sami nahráli a celý proces společně reflektovali. Předložený text vstupuje do kontextu akustické ekologie, instrumentální syntézy a počítačem podporované skladby. Navazuje na kontinuální umělecký výzkum na katedře skladby HAMU v oblasti zvuku a prostoru a tvůrčích aplikací výsledků. Jeho cílem je prozkoumávat vztahy mezi subjektivní zvukoprostorovou zkušeností, volbou kompozičních strategií a výslednou podobou skladby. Five composers – one teacher and four students – set out to listen to the soundscape of the Polish foothills of the Giant Mountains in order to explore the influence of subjective perception on the final shape of a composition. First, they noted down their sound-spatial listening experiences graphically in sketchbooks. They then formulated creative ideas for chamber ensemble compositions based on these experiences. Over the next four months, they wrote compositional studies with the intention of recording them in the studio. They then recorded the studies themselves and reflected on the entire process together. The presented text enters the context of acoustic ecology, instrumental synthesis, and computer-assisted composition. It builds on continuous artistic research at the Department of Composition at HAMU in the field of sound and space and the creative application of the results. Its goal is to explore the relationships between subjective sound-spatial experience, the choice of compositional strategies, and the resulting shape of the composition.

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.