In her first major institutional solo exhibition, Katja Novitskova creates a speculative space at the threshold of what is made perceivable in the world today, venturing into the frontier terrains of visual data processing.
Artist(s) Katja Novitskova
Venue Kunstverein in Hamburg
Photography Fred Dott
What does sunrise on Mars have to do with high-resolution, larger-than-life pictures of a gecko? Why do schematic representations of protein structures unfold in front of night-vision images of a camel herd?
Dawn Mission is populated by sculptures whose constitution appears hard to comprehend at first sight. For her works, Novitskova (b. 1984) adapts images from online sources that refer to realities lying beyond the capacities of the human eye, but which have long entered our lives as visual artifacts. Today, almost all aspects of human and increasingly non-human lives are registered or modeled by software on an environmental scale. Data collection and processing have long transcended the limits of our planet and have become the tools to navigate beyond and throughout Earth. High-sensitive satellite cameras, deep-sea robotic vehicles, military machines, space probes, CCTV and electronic microscopes provide image data often exceeding the human spectrum of vision.
Those collected datasets can be described as translations of light into numeric code, which is not meant for direct human processing. The collected imagery often only exists within a dimension of data analyzing algorithms invisible to us. Once a relevant pattern in the set is identified through computation, it can be translated into a picture— a visual artifact and source of information, a format familiar to us for millennia. At the same time there are vast datasets only human eyes are able to process in efficient ways: despite the algorithmic dominance, data-analysis programs often operate in accordance with a logic that doesn’t make sense to us. They are simply not good at “seeing.” Online citizen science projects that focus on this crossover space between big data and human perception are Novitskova’s starting point for Dawn Mission. These projects rely on crowd analysis of visual datasets featuring patterns too complex to be processed by a computer — for example, classifying galaxies by shape, marking individual whale tales or spotting worms lying eggs under a microscope. Most of those images are ecological frontier data. The users processing the images might be the first non-machines to lay their eyes on this particular registry of reality.
This tensional field of translation is where Novitskova intervenes with her works, transferring the phenomenon to the gallery space. Continuing her interest in visual material produced by machines at frontier environments like Mars, deep-sea floor and other alien worlds, Novitskova focuses on a light-sourced dataset as a frontier in itself, and a fruitful resource of novel patterns. By superimposing and re-contextualizing these forms, the artist creates a poetic interaction between the human, non-human and machinic, venturing beyond our anthropocentric perspective. Dawn Mission thus explores the radically new articulation of the role of the image, and how constant mediation gains an ecological dimension. Within this artistic research Novitskova’s role could be understood as comparable to any data-processing species seeking for patterns in their chaotic reality.
Katja Novitskova (b. 1984 in Tallinn, Estonia; lives and works in Amsterdam and Berlin) studied Semiotics and Cultural Studies at the University of Tartu, Digital Media at the University of Lübeck and graphic design at Sandberg Instituut in Amsterdam. In her still young artistic career she has participated in exhibitions at the Museum of Modern Art in New York, Kunsthalle Fridericianum in Kassel, Kunsthalle Lissabon and the Kunsthalle Wien. She is amongst this year’s nominees for the Prize of the Böttcherstraße in Bremen and Nam June Paik Award 2016. In 2017 she will represent Estonia at the 57th Biennale di Venezia.
The exhibition Dawn Mission at the Kunstverein in Hamburg is curated by Tobias Peper.