Wavelab

Digitalization Lab AICA

The Digitization Lab „Artificial Intelligence in Culture and Arts“ (AICA) aims to equip students at the University of Music and Theatre and the University of Applied Sciences Munich with competencies that enable them to actively shape AI-based processes in various artistic and creative fields and to drive AI innovations in the cultural and creative industries. This project is funded by the Bavarian State Ministry of Science and the Arts and coordinated by the Bavarian Research Institute for Digital Transformation (bidt).

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CONSTITUENTS

We offer an interdisciplinary student program consisting of the three components lecture series, tech crash course and AI project workshop.

Expand your AI Competences

Teaching area

The teaching area of the Digitization College is transdisciplinary and includes disciplines such as computer science, data science, cultural management, media studies, cultural studies, as well as a series of introductory and survey courses on the topic of AI in art and culture. In addition, the course offerings consist of both theoretical and practical units.

Focus

Basic understanding of machine learning methods and tools; data literacy; cultural studies and cultural business skills; creative and artistic thinking and approaches; critical and reflective thinking skills.

Our Team

Mariya Dzhimova (HMTM)

Head of AICA

Mariya Dzhimova is a sociologist with a research and interest focus on digital innovations in the arts and culture sector. As a research associate at the Institute for Culture and Music Management at the University of Music and Performing Arts Munich, she is concerned with the use of artificial intelligence in artistic practice on the one hand and in the working practice of cultural institutions on the other. She has worked in various projects at the interface of science, art and technology. Since the end of 2022, Mariya Dzhimova leads the Digitization Lab AICA.

Prof. Dr. Gudrun Socher (HM)

Part of the scientific lead

Gudrun Socher has been a professor of computer science at Munich University of Applied Sciences since 2006 and has been head of the Munich Center for Digital Sciences and AI at Munich University of Applied Sciences since 2020. Since completing her doctorate, she has been working on artificial intelligence (AI) technologies and wants to ensure that as many students as possible in all degree programs acquire a basic technical understanding of AI and are thus able to play an active role in shaping the digital transformation.

Helena Held (HMTM)

Research associate

Helena Held is an art and culture manager. She has already worked on projects related to the topics of science, art and technology. As a research associate at AICA, she develops project ideas and the student program. Her master degrees in Visual Anthropology and Environmental Studies help her to take different perspectives in this interdisciplinary field.

Dr. Esther Fee Feichtner (HMTM)

AICA Ambassador

Esther Fee Feichtner is an expert in deep neural networks and data analysis. She studied computer science and musicology at the Julius-Maximilians-Universität in Würzburg. She then completed her doctorate at the International Audio Laboratories Erlangen (a joint research facility of Fraunhofer IIS and Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)). Her research focuses on timbre analysis in audio signals using feature-based approaches and optimized artificial neural networks and the juxtaposition of machine and human creativity.

Dr. Benedikt Zönnchen (HM)

Research Assistant

Benedikt Zönnchen is the head of the Digitalization and AI research group at the Munich Center for Digital Sciences and AI of the Munich University of Applied Sciences. He studied computer science at the University of Applied Sciences Munich and the Technical University Munich and received his PhD in the field of person flow simulation in cooperation with the University of Applied Sciences Munich at the Chair of Scientific Computing of the TU Munich. He designed the courses „Computational Thinking“ and „Sustainability and AI“ and is in the process of establishing the research of the Munich Center for Digital Science and AI (MUC.DAI) in the area of generative machine learning methods. Privately, he is also interested in algorithmic composition, sound design, live coding, and generative design.

More exciting projects can be explored on his Website.

Tanja Huber

student assistant

Tanja Huber is a photographer and is studying cultural studies with a focus on philosophy at the FernUniversität in Hagen. She is currently completing her bachelor’s degree and is taking a critical look at the question of whether machines can think and be creative.

With her creative and design skills and her scientific interest in philosophy, art, culture and artificial intelligence, she supports the AICA team as a student assistant.

09 Apr.
5 - 6:00 pm

Lecture series: Fine Arts – Anne Horel

Generative tools are evolving really fast, aiming at more realistic outputs. Concomitantly, we can see a lot of reluctancy toward ...
€ free of charge
Online (click here to participate)
30 Apr.
5 - 6:45 pm

Lecture Series: theater – Meredith Thomas, Lila Schulz & Moritz Lobeck

Meredith Thomas How AI took over the world, the arts and me? This presentation will look at some of the lessons learned from ten...
€ free of charge – please click for tickets
Wavelab, Barer Straße 19
07 Mai
5 - 6:00 pm

Lecture series: dance and choreography – Dr. Mariel Pettee

Dance-making is an emergent phenomenon that draws from and, in turn, teaches us about our own bodies, cultures, artistic lineages,...
€ free of charge
Online (click here to participate)
15 Mai
17:00-20:00 Uhr

Symposium: Künstlerische Autorschaft im Zeitalter generativer KI

Das Symposium beleuchtet die Frage der künstlerischen Autorschaft aus vier unterschiedlichen Perspektiven: der Musik, der Literatu...
€ Eintritt frei
MUC.DAI (Hochschule München)
21 Mai
5 - 6:00 pm

Lecture series: music, composition – Alex Vaughan

AI music is cool, but isn’t this a bad idea?A lecture showcasing Swansonic’s world leading music AI programs, as well as the poten...
€ free of charge
Online (click here to participate)
28 Mai
5 - 6:00 pm

Lecture series: photography – Boris Eldagsen

Will it Blend? The future of creative collaboration between humans and AI Numerous studies have come to the conclusion that AI ...
€ free of charge
Online (click here to participate)
04 Juni
5 - 6:00 pm

Lecture series: creative industries – Timo Heimbach

Whether hype or not, artificial intelligence is here to stay. We are at a time when the course is being set for the future social ...
€ free of charge
Online (click here to participate)
11 Juni
5 - 6:00 pm

Lectures series: creative industries – Johannes Giani

In this lecture, Johannes Giani will explore how artists can use AI as a creative tool to support various aspects of music-making ...
€ free of charge
Online (click here to participate)
18 Juni
5 - 6:00 pm

Lecture series: creative industries – Michael Brandt

Michael Brandt discusses: What could my future job in music and/or theater look like and how can I proactively help shape it? Ho...
€ free of charge
Online (click here to participate)