The Research Catalogue (RC) is a non-commercial, collaboration and publishing platform for artistic research provided by the Society for Artistic Research. The RC is free to use for artists and researchers. It serves also as a backbone for teaching purposes, student assessment, peer review workflows and research funding administration. It strives to be an open space for experimentation and exchange.

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GOON (2025) Pierre Piton
GOON In 2023, at the age of 28, I was diagnosed with testicular cancer. This life-altering event led me to take a closer look at my sexual desire, question my relationship with my genitals, and rethink how I perceive my gender identity. Today, as I navigate a healing period, I seek to explore sensuality as a space of resistance and emancipation. GOON is an attempt to free myself from the shame surrounding (my) queer sexualities. GOON is a research performance inviting the audience to look up close at the way they see and seek pleasure. With a choreographic approach, I am researching queer eroticism as a place of joy. Ignoring the constraints of sexual norms, this exploration focuses on shaping a body that is both playful and desired, despite its apparent dirtiness.
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Recomposing Data: Machine Learning as Compositional Process (2025) Bjarni Gunnarsson
This exposition reflects on how machine learning can be integrated with algorithmic composition and live coding to expand digital music creation. The research examines how ML-driven sound analysis, training data, and interactive models reshape compositional workflows. By viewing machine learning as an interpretative and generative process rather than a mere tool, this project challenges conventional boundaries between data gathering, system design, and artistic practice. The discussion is framed through experimental approaches that merge sound synthesis, live coding, and model training, questioning how algorithmic systems can act as both agents of composition and reflective mirrors of musical intention. Through the interplay of structured data, generative models, and exploratory workflows, the study situates machine learning within a broader conversation about creativity, computation, and the evolving role of the composer-programmer.
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Material for Gifts from the Sentient Forest (2025) Annette Arlander
This page is under construction It contains material created for and in the context of the research project Gifts from the Sentient Forest at the University of Lapland. See https://www.sentientforestproject.com
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RAD2024 (2025) Priska Falin, Alejandra Vera, Vilja Achté, Müge YILDIZ, Alexandra Zambrano, Amy Gelera, Seo Young Lee
Research Through Art & Design course introduces a variety of approaches, methodologies, issues and concerns in research through practice. In this course, research through practice refers to a broad continuum of artistic research approaches, arts-based, practice-led and -based research approaches, including also constructive design research approaches that are relevant across practices in Aalto University ARTS School of Arts, Design and Architecture. This exposition was created within an Artistic Practice Workshop offered as an additional part of the main course. During this part of the course, the students are familiarised with the Research Catalogue. During the workshop, participants work on their page within a group exposition, drawing connections between the creative and the given or discussed literature from the course and their creative practice.
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RETHINKING MUSICAL CREATIVITY: THE ETHICAL AND ARTISTIC CHALLENGES OF AI-GENERATED MUSIC (2025) Angelina Tarlovskaia
As artificial intelligence continues to advance, its role in the creation of music has raised profound questions regarding the nature of authorship and the ethical implications of algorithmic composition. Exploration of a fast-evolving relationship between music and AI broadens researches` horizons on the transformation of creative processes and the challenges it presents to traditional creativity. Delving deeper into the ethical considerations surrounding the ownership, originality, and emotional authenticity of machine-created music plays an important role in the understanding of modern music industry and helps to navigate creative development in today’s reality. Ongoing ethical aspects of AI presence in music and creative industry show the importance and actuality of this topic. This paper aims to provoke a deeper understanding of how AI is reshaping musical creativity and to encourage a critical dialogue about the future of art in a digitally driven world.
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Building Bridges, Exploring Identity: A Musical Journey of a Brazilian Cantautora in an Intercultural Context (2025) Clara Gurjão
This thesis presents the outcomes of my artistic research conducted as a master’s student in the Improvisation and World Music Performance program at the Academy of Music and Drama, University of Gothenburg, Sweden. The present study investigates how a musical identity is constructed and reshaped over time, drawing from my background as a Brazilian singer, guitarist, and songwriter, and examining how exchanges with musicians from different fields and exposure to new artistic inputs can influence my creative practice. Central to the research is finding tools to broaden my expressive possibilities within the song format, through the integration of improvisation, diverse ensemble instrumentation, and inventive strategies for communicating artistic intentions and political concerns through music and stage performance. This work also explores possible approaches for overcoming creative blocks and performance-related fears, especially those related to improvisation, seeking to cultivate a state of freedom, openness, fulfillment and joy while playing.
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