Kathrin Hunze

Cross Perception
Training Your Best Friend: Eine Wesensprüfung
Molecular Machina - Value of Life
Surveillance Suite
Score of Abstraction
System im System
Abstract Peripheries
iPS Structures
Eine Stadt verschwindet


Cross Perception (up)

Fulldome Video Installation

Artistic Research Project, 2020

The human perceptual apparatus looks for simple explanations for sensory impressions. Which explanation is used for given sensory impressions depends not only on the experiences but also on the expectations of the person. In an immersive video work we create an interplay between the machine and human perception. "Cross Perception" aims to raise the question of how experiences and expectations shape our perception and which perspectives dominate, blur or disappear in this interplay.

The visual Part is formed by photogrammetry using a smartphone. 3D objects, their mesh structure and textures are faulty and are the basis for the visual structure in Unity. An artificial neural network for object recognition processes the 3d objects and calculates probabilities for the presence of a given set of object classes for each point in time and each image section. If an object is detected over a certain period of time, a sound is played from the direction of the corresponding image section, which is related to the detected object. For the auditory composition, granular synthesis and spectral freezes were used to create a space. The object recognition was translated into Midi Note On/Off commands and imported into Ableton Live to trigger samplers with corresponding sounds. The positions of the sound sources were calculated directly from the camera coordinates and the viewing direction.

The project is part of TRANSFORM, a collaborative project between Angewandte, Johannes Kepler University, and Donau University Krems, funded by the Austrian Federal Ministry of Education, Science and Research. With the involvement of Kathrin Hunze, Thomas Hack; Silvan David Peter, Jan Schlüter (Institute for Computational Perception, JKU Linz) and Christine Böhler, Martin Gasser (Department Cross-Disciplinary Strategies, Angewandte Vienna).


Ars Electronica 2020 in the Kepler's Gardens

Ars Electronica 2020 Katalog

Johannes Kepler Universität

Training Your Best Friend: Eine Wesensprüfung (up)

"Training your best Friend: A character test "
2 Channel, 8:16 min, loop, Videoinstallation, 2020

In the work "Training your best Friend: A character test " the co-evolutionary relationship between human and machine is examined. Whether there is a co-evolutionary process between human and machine, and how a co-evolution between human and machine behaves, is reflected on the basis of the historical background and future significance of the battle tank.

Tanks are declared dead every few years, but do not disappear from the contemporary arsenal of weapons. Will the tank of the future perhaps have a completely different form in the context of a digital battlefield?

"This process increasingly complements the co-evolution of human and animal. Another mutation of the human-dog relationship is already foreseeable, namely the mutation to a human-machine relationship. It follows the logic of domestication. The dog is a product of breeding intervention in the wild forms of nature - a mirror of art, not of nature, as was already said in the Roman antiquity (canis est speculum artis, non naturae). If one replaces the word "art" simply with "technology". Then it seems logical that the breeding of the dog is more and more drawn into the domain of technology".*

LEO MN2033 a "companion species" a trained artificial intelligence that is both a pet and a fighting machine. Its task is to serve as a companion in everyday life and to protect humans. For this reason, Leo MN2033 has been assigned to the category of working dog, which is subject to the strict and constantly monitored requirements of the German Electronic Shepherd Dog Association (ESV).
Human as well as machine must be trained to be allowed to enter into a so-called "marriage" together. For this, both must pass a character test.

Concept & film: Kathrin Hunze
Kamera: Thomas Hack
Panzerteam: Jörn Klipp, Daniel Theiler

Gamemusic: Milton; Visual
Hans Carste/Schuricke-Terzett - Schön ist die Welt (1938)
Sounddesign: Kathrin Hunze

Text Quotes:
**Haraway, D:
Companion Species Manifesto: Dogs, People,and Significant Otherness
*Eduard Kaeser: Ich trotze, also bin ich
Gelöbnisrede: Veteidigungsminsterin Annegret Kramp-Karrenbauer
Marianne Rosenberg - Ich bin wie du
Deutscher Schäferhundverein
MTA Police K9: Police Dog: Training your best friend


Audiovisual Performance, 25 min, 2019

'SINGULARIS' deals with biological and information technology granular processes of postdigital lifeforms. Through ‘Quantified Self Management’ we evolve into improved, elevated persons - singularities. Singularis is a Granalysator in which collected biological matter is scanned into pointclouds and through an audiovisual granular system is transformed into synthetic bodies forming a complex network in a web of interactions.

EMAF INIT Experience 2020
Silent Green Berlin 2019
Westbund Art Center + FutureLab Shanghai 2019 at Centre Pompidou Shanghai, 2019
Udk Medienhaus Berlin, 2019
Akaoda Berlin, 2019
Soundstack Symposium London, 2019

EMAF INIT Experience 2020
EMAF Catalog 2020
FutureLab Shanghai

audiovisual realtime performance with Thomas Hack and Sound from HAI-Trio: Alberto de Campo, Hannes Hoelzl, Isak Han (https://airborneinstruments.eu/)

Molecular Machina - Value of Life (up)

Sound Installation,

Artistic Research, KateHack Kollektiv, 2019

Value of life - MOLECULAR MACHINA is an audiovisual installation that makes the molecular processes involved in Epigenetics tangible and accessible.
The project not only examines biochemical cycles, but deals with the awareness with which we confront living beings.

The environment influences how the genetic code stored in DNA is interpreted. This phenomenon and related ones are collectively termed Epigenetics. MOLECULAR MACHINA is an installation that makes the molecular processes involved in Epigenetics tangible and accessible in an audiovisual fashion.

Two genetic synthesizers constantly interpret genetic codes through sonification. One is interpreting real genetic code and shows how the encoded proteins sound. The other, based on an artificial neural network, is interpreting an artificial code and shows how the encoded enzymes work. A network of plants constitutes the environment that influences the genetic synthesizers through epigenetic processes.

First exhibiton: 4 plants did not survive.
Second exhibtion: 4 dead plants are exhibited, 2 living plants did not survive.
Next exhibtion: 6 dead plants are exhibited, how many will not survive?

Molecular Machina consists of various projects and workshops who deal with biological systems. See also Molecular Machina EnzymeAlgo and Workshop.

Exhibted at re:publica 2019

Media coverage:
re:publica 2019 Berlin – re:cap: The Movie
Deutschlandfunk Kultur

xyz (up)

Surveillance Suite (up)

Ausiovisuelle Performance, 2017

The Surveillance Suite is a multifaceted audiovisual performance which looks at current Slovakia affairs in cybersecurity and surveillance.
Based on recent research by sociologist Terezie Lokšová on the practices and implications of public surveillance in the local context of Žilina, we turn multiple data sources into acoustic and visual experiences that zoom back in time and out in space toward a global perspective on the issues.
The ensemble's palette includes a wide range of strategies and means, from spatial sonification and 3D visualisation, computational tactics like networked live coding, data scraping, multilingual speech synthesis and processing, to vintage technology in the form of electrical horns and mechanical sirens.

The Society for Nontrivial Pursuits

Alberto de Campo
Haye Heerten
Hannes Hoelzl
Daniel Hromada
Kathrin Hunze
Arik Kofranek
Franz Milec

with the participation of:
Terezie Lokšová
Julia Scher
Thomas Hack
Echo Ho
Magdaléna Kobzová
Pictures by Sarah Massardier
PlantiSonics (up)

Artistic Reseach Project, 2018-2019

The landscape of plant breeders in Germany is diverse. There are many medium-sized and large breeding companies which adapt a wide variety of useful plant species to the different soil, water and temperature conditions in Germany. Wheat, rapeseed and potatoes in particular have been intensively cultivated. Over the years the breeding techniques have changed and this has influenced the variety development.
Important characteristics of the individual plant species, whether for the producer, the processing industry, the trade or the consumer, have been identified and specifically changed.
There are many examples of this: Typical characteristics of potatoes are their susceptibility to fungi and pests, the colour of the tuber, its shape, size and consistency when cooked. Long wheat stalks often fold in strong winds and are difficult to harvest. For this reason, breeders bred varieties with the characteristic short stalks.
The breeding history of useful plants is very complex. With the help of sonification, the complexity of modern plant breeding in the 20th century can be portrayed in sound. It can be used to make large, multidimensional data sets audible and comprehensible in sounds and noises.
The PlantiSonics project is the result of the productive integration of artistic aesthetic expertise with the working methods of scientific sonification research.
From Arabidopsis Thaliana to wheat and potatoes, data records from the 'Bundessortenamt Germany and the National Center for Biotechnology Information were translated into sound.

More links about the project can be found here:

Live Stream der Arabidopsis

Museum für Naturkunde

PlantiSonics bei pflanzenforschung.de

Deutschlandfunk Kultur Radio Feature von Julia Diekämper

PlantiSonics wurde realisiert von

Prof. Dr. Alberto de Campo

Dr. Julia Diekämper, Museum für Naturkunde

Marcus Gammel, Deutschlandfunk Kultur

Dr. Thomas Hermann, Universität Bielefeld

Dr. Henrike Perner, DIALOG GEA

Dr. Matthias Arlt, PLANT 2030

Kathrin Hunze
Dr. Thomas Hack

Score of Abstraction (up)

Audiovisual Performance, 2018

In “Into the Universe of Technical Images”, Vilém Flusser writes about different steps how we abstract the concrete and make ourselves subjects of an objective world. The concrete reality can be abstracted in several steps from four-dimensional space-time continuum to zero-dimensional points. These points can be recombined, calculated, and computed to form a higher-dimensional abstract reality. The objective world itself becomes a projection of these possibilities.

Complex behaviors, whether in feedback systems, chaotic circuits, social systems and/or computer programs are fascinating objects of study. The performance “A Score of Abstraction” explores the possible spaces of such systems. Based on Flusser’s thoughts, the performers design, build and program their own audio-visual/other performance systems based on a variety of devices, such as sensors, analog electronics, and different software syntheses.

Created and performed by 'The Society of Non-Trivial Pursuits' at CTM Vorspiel 2018, Berlin. Artists: Alberto de Campo, Haye Heerten, Kathrin Hunze, Lucas Maia
System im System (up)

Sound/Video, Object Installation

Artistic Research Project, 2016-2018

Part I - Gen I

Signs and sign systems, i.e. codes, are part of our daily life. Some of them are simple and intuitively comprehensible. Others are complex and difficult to understand for non-experts. Nevertheless they play an important role in our everyday social life. A prominent example are the various codes used in digital information technology. These have been developed and optimized over decades and can be considered a major triumph of the human mind.

It is fascinating to realize that nature was a pioneer in that respect. The genetic code, basis of all life, is structurally very similar to the digital codes developed by humans and by now we understand how efficient and highly developed the genetic code is. In our bodies as much as in the bodies of all living beings processes analogous to processes in computers, which however seem to be rather abstract to most of us, constantly occur.

Aim of this work is to enable us to experience this fascination. To this avail the genetic code is analyzed from the perspective of semiotics. Inspired by the code itself, a sign system is developed and used to display two important mechanisms of the genetic code, transcription and translation, as audiovisual processes. In particular this should make it possible to transport microscopic processes, usually invisible to us, into our macroscopic reality. This aim shall be achieved by an audiovisual room installation.

2016 Student Award, Exellence in the Application of New Technologies in Sound Art and Sound Design, klingtgut! symposium on sound

bachelor thesis (in German)
slides (in English)

PArt II - System in a System

Thalassiosira pseudonana is a species of marine centric diatoms. Diatoms are eukaryotic, photosynthetic microorganisms, who live in the water and in great variety of forms almost all over the world can be found. Diatoms are single-celled, but often occur as a colony
and its special feature is the hard shell that surrounds the cell.

System in a System represents an excerpt of a protein of clone CCMP 1335 of T. pseudonana.
The protein is visualised with a type system developed for my work GEN I.
Each character represents an amino acid and comes from a visual algorithm that I have developed.

In the sound composition, the individual amino acids in the form of their codons were entered and played back by using a gene synthesizer. The Gensynthesizer is developed to generate Sound with different or single DNA strangs.

This project was displayed as part of the exhibition 'Biologie und Bauen' at the Museum für Fotografie / Helmut-Newton-Stiftung, Berlin.

Biologie_Bauen (in German)

Projekt funding by Commission for Artistic and Scientific Projects (KKWV), Berlin University of the Arts

Information about Thalassiosira pseudonana CCMP1335 :
Abstract Peripheries (up)

Sound Installation

Artistic Research Project, 2018

How does an AI’s abstract concept of two peripheral urban districts compare to that of humans?

Artificial intelligence (AI) is increasingly becoming a vital technological tool, pervading various aspects of our lives. Artificially intelligent systems are used to evaluate and categorise real data, and thus, ultimately, reality itself. For this reason, it is essential to understand the mistakes an AI can make and the concept of reality it develops. Neural networks are a particular kind of an artificially intelligent system. These networks can perform many tasks which require a particular type of intelligence - meaning comprehension -, such as identifying or rather classifying images, interpreting spoken language, or playing games. Like the human brain, neural networks are plastic systems which can change and adapt depending on the input they receive. This process of adaptation is what we call “learning”, or, in the context of a specific task, “training”. The design and inspiration for the name of neural networks came from the understanding of our brain. A long term goal is to be able to design an entire artificial brain. Although many AI systems currently have been able to beat humans in particular tasks, such as strategic board games, we are still far from constructing a general AI. Indeed, we have a limited understanding of how our brain works, and remarkably, also an incomplete understanding of successful artificial neural networks.

In this project, we shall train a neural network to distinguish between images of the urban landscapes of Biesdorf and Marzahn in Berlin. These images are taken from Google Street View. The trained network will ideally be able to say with high certainty whether an image from one of the
two districts is showing either a scene in Biesdorf or Marzahn. The interesting thing about neural networks is that we do not fully understand how they “understand”. However, we know that our neural network learns by developing a “general image”, or “abstract concept” of Biesdorf and Marzahn. Then it compares given images to this abstract concept in order to decide whether it is “seeing” Biesdorf or Marzahn. In this project we shall try to understand this abstract concept learned by the neural network. Thus we try to answer the question: What is Biesdorf, and what is Marzahn, for an AI? And how does the AI’s abstract concept of these two districts compare to the same abstract concept for humans? In order to answer these questions we shall use images of Marzahn and transform them in a particular way until the trained neural network thinks that they are images of Biesdorf, and vice versa. This transformation is achieved by introducing several mutations to an image of, say, Marzahn, and keeping only the mutations which, according to the neural network, are more “Biesdorf-like”, while discarding the others. We continue to mutate the image until the neural network is, say, 95% sure that the mutated image is showing Biesdorf and not Marzahn. Doing this with several images, we hope to uncover the AI’s abstract image of these two districts. We shall also go one step further and we shall sonify the AI’s abstract concept. To this end, we shall visualise existing musical compositions in the form of a still image. We shall mutate this image until the AI classifies it either as Biesdorf or as Marzahn. Reversing the visualisation process, we shall obtain a new composition which for the AI “sounds like Biesdorf”, or “sounds like Marzahn”. This will enable us to understand the AI’s abstract concept of the two districts also on a sonic level. (in collaboration with Thomas Hack)

This project is part of

‘Living on the edge’: when we think of spaces we tend to think of the space within. We leave the edges — the peripheries — where instability festers and sprawls out, for the rebellious or the adventurous. In cities, living at the periphery signifies both being an insider or city-dweller, but also being an outsider; not fitting inside for economic, social, or other reasons, and therefore resigned to the edge or the opposite — explicitly chosen to live there. Suburbia, or the Suburban Sublime. For the mind, the edge represents the grey matter — the cortex — where the higher mental processing takes place. This mental space is susceptible to being moulded dynamically by inner thoughts and external stimuli. To think about the peripheries, both in the tangible and intangible, is to explore the intersection between mind and space.

In cooperation with Schloss Biesdorf, Artistic Director: Karin Sheel
As part of Make City. Berlin Remixing / Stadt neu gemischt (http://makecity.berlin/)

iPS Structures (up)

Artistic Research Project, digital Print, 2017-2018

The relation between nature and art and the area of tension between naturality and artificiality are a constant source of scientific and social discourse. The principal and most essential questions arising are: Where are the borders and similarities between those seemingly disparate concepts? Can a true symbiosis of these elements exist, can they ever be in equilibrium?

"iPS Structures II" is the result of digital manipulation of two source images. One of them can be thought of as an induced pluripotent stem (iPS) cell. Like an iPS cell, the iPS-image has been transformed into a primordial form, embodying an almost infinite potential for differentiation. The second image provided the nutrient solution and skeleton in which the iPS-image could multiply and grow structures. This growth was further stimulated and influenced by the application of digital image filters, serving a purpose much like molecular biological vectors. The endless complexity of nature is the result of simple base objects composed and manipulated according to simple rules in many individual simple steps. This image (one of a series of five) displays a tiny yet powerful fraction of this complexity.

This project has been be displayed in the exhibition “Infinite Potentials” SciArt Center at ArtCell (Cambridge, U.K.) and New York Hall of Science (New York City), in collaboration with the Cambridge Stem Cell Institute.

»Artist in Research« at Prof. Dr. Martin Zenke’s group in the Department Cell Biology of the RWTH Aachen/Uniklinik Aachen, Helmholtz Institute for Biomedical Technology
Eine Stadt verschwindet (up)

Sound Installation

Venedig, eine Stadt die beständig von Wasser- und Touristenströmen überflutet wird. Mensch und Natur tragen dazu bei, dass diese Stadt immer mehr verschwindet. Das Wissen, dass die Stadt sich im einem Auflösungprozess befindet, macht sie um so begehrter. Es ist der Reiz, es nicht greifen zu können, aber trotzdem mitten drin zu sein, das Durchleben der melancholischen Grundstimmung der Stadt.
Menschen wollen den Prozess der Auflösung festhalten, sie fotografieren, um sich zu erinnern. Doch wie sehen diese Bilder in unseren Erinnerungen aus? Welche Wahrnehmungsbilder entstehen in unseren Gedanken, sind sie hörbar und gleichen sie den fotografischen Bildern? Je seltener wir ein Erinnerungsbild in unserer Vorstellung aufrufen, umso unschärfer wird es. Auch die auditive Wahrnehmung ist in unseren Erinnerungen unscharf oder gar nicht mehr hörbar. Der Mensch selbst nimmt an dem Prozess der Auflösung teil.

instructions (in German)
leaflet (in German)
F (up)

1 Channel, Video Installation, 3:04 min, 2012

Eine Auseinandersetzung mit Nähe und Distanz im Zusammenspiel mit dem Soundscapes.
Durch Material-Experimente erstelltes Bildmaterial wird in Form von Montage zusammengeführt. Untersucht wurden Makroebenen, und Reaktionen mit verschiedenen chemischen Konsistenzen, die sich selbst in Bewegung setzten.
Die Soundscapes sind durch Field Recordings in Hamburg entstanden und mit kurzen Samplings von Mozart’s Requiem, die durch Zeitdehnung verändert wurden.

A confrontation with closeness and distance in interaction with the soundscapes.
Material created by material experiments is combined in the form of montage. Macro level, and reactions with different chemical consistencies that set themselves in motion were studied.The soundscapes were created by Field Recordings in Hamburg and with short samples of Mozart's Requiem, which were changed by time stretching.

Links (up)

About (up)

Kathrin Hunze

Kathrin Hunze is a Media Artist and Artistic Researcher. She studied Sound Design and Communication Design at the Hamburg University of Applied Sciences,2016, is a graduate of the Art and Media degree program at the Berlin University of the Arts, 2019, and a distinguished graduate of the Art and Media program of the Berlin University of the Arts 2020. Resident at the Academy of Applied Arts Vienna, 2020 and the Institute for Electronic Music and Acoustics (IEM), 2019. Lecturer for Art and Media, Fashion Design and Computation & Design at the Berlin University of the Arts and for Computing and the Arts, at the Berlin School of Popular Arts. She lives and works in Berlin.

full CV


The artist collective KateHack (Kathrin Hunze & Thomas Hack) deals with themes at the interface of science and art. During their collaboration a special focus on artificial real time systems which embody interactions between living creatures and environments emerged. Their works analyse the boundaries and similarities of artificial and natural systems.

Thomas Hack has studied Theoretical Physics in Bonn and Hamburg, where he did his PhD. After being a Postdoc in Hamburg, Genoa and Leipzig, he specialised in Data Science and Machine Learning. Together with Kathrin Hunze he is pursuing generative projects at the interface of science and art.