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<p class="MsoNormal"><span style="color:#212121">Distinguished Lecture Series in Music and Digital Humanities <span class="apple-converted-space"> </span><o:p></o:p></span></p>
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<span style="color:#212121"><a href="https://iwk.mdw.ac.at/music-dh" target="_blank" title="https://iwk.mdw.ac.at/music-dh"><span style="color:#0078D7">https://iwk.mdw.ac.at/music-dh</span></a><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="color:#212121">The final lecture in the Distinguished Lecture Series on Music and Digital Humanities at the mdw University of Music and Performing Arts Vienna</span><span style="color:#212121">
</span><span style="color:#212121">will take place on 29. June 2026, 17:00 (Vienna/CEST).<span class="apple-converted-space"> </span><o:p></o:p></span></p>
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<span style="color:#212121">Artemi-Maria Gioti (Mozarteum University Salzburg)<o:p></o:p></span></p>
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<span style="color:#212121">"Autoethnography of a Data-making Practice".<o:p></o:p></span></p>
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<span style="color:#212121">Abstract: In this talk, I will draw on autoethnographic notes from the compositional process, rehearsals, and performances of my work<span class="apple-converted-space"> </span><i>Bias II</i><span class="apple-converted-space"> </span>for
piano and interactive music system to examine the critical insights that artistic research in composition can offer into machine learning and data practices. I will focus specifically on the critical perspectives that emerged through the creation of datasets,
the training of machine learning models, and their deployment in live performance settings. Bringing an autoethnography of the data-making practices involved in the work into dialogue with theoretical frameworks from critical data studies, I will propose a
deconstructive critique of data as material, processual, and relational, and foreground the aesthetic decisions embedded in them. Finally, a speculative error analysis of one of the machine learning models deployed in the piece will serve as a site of critical
inquiry into the epistemological assumptions underlying machine learning systems.<o:p></o:p></span></p>
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<span style="color:#212121">Biography: Artemi-Maria Gioti is a composer and artistic researcher conducting critical research at the intersection of music and artificial intelligence (AI). She is Professor of Artistic Research in Music at Mozarteum University
Salzburg. Her compositional work focuses on interactive works involving reciprocal, real-time interaction between human performers and computer music systems incorporating machine learning (ML). Through this practice, she explores how technology reconfigures
musical practices and ontologies, such as authorship and the musical work. Her research brings autoethnographies of the compositional process into dialogue with theoretical frameworks from critical AI and critical data studies, to investigate questions of
data materiality, data semiotics and ML epistemology. Gioti is a core team member of the ERC-funded project MusAI (Music and Artificial Intelligence: Building Critical Interdisciplinary Studies), led by Georgina Born. She previously served as the Principal
Investigator of the FWF-funded research project Inter_agency. She holds a doctoral degree in Music Composition from the University of Music and Performing Arts Graz with previous studies in Composition, Electroacoustic Composition and Computer Music at the
University of Macedonia (Thessaloniki, Greece), the University of Music and Performing Arts Vienna and the University of Music and Performing Arts Graz (Austria). Her previous academic appointments include positions at the University of Music "Carl Maria von
Weber" Dresden (Germany), UCL's Anthropology Department (UK) and the Institute of Electronic Music and Acoustics (IEM) of the University of Music and Performing Arts Graz (Austria).<o:p></o:p></span></p>
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<span style="color:#212121">The lecture will start at 17:00 (Vienna/CEST) and take place in the Bankettsaal, mdw Campus. As always, the lecture will be streamed via Zoom, and both in-person and remote participation is free. <span class="apple-converted-space"> </span><o:p></o:p></span></p>
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<span style="color:#212121">Zoom Link: <span class="apple-converted-space"> </span><o:p></o:p></span></p>
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<span style="color:#212121"><a href="https://mdw-ac-at.zoom.us/j/67606221415?pwd=9VUR9zPcIe43mV2Gj5IIXyd3jgWZw1.1" target="_blank" title="https://mdw-ac-at.zoom.us/j/67606221415?pwd=9VUR9zPcIe43mV2Gj5IIXyd3jgWZw1.1"><span style="color:#0078D7">https://mdw-ac-at.zoom.us/j/67606221415?pwd=9VUR9zPcIe43mV2Gj5IIXyd3jgWZw1.1</span></a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#212121"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#212121">Video recordings of all lectures in the series are being prepared for release in the coming weeks. A notification will be sent via this list when they become available.<o:p></o:p></span></p>
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<span style="color:#212121"> </span><span lang="EN-US" style="color:#212121"> </span><span style="color:#212121"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#212121">Please refer to <a href="https://iwk.mdw.ac.at/music-dh" target="_blank" title="https://iwk.mdw.ac.at/music-dh"><span style="color:#0078D7">https://iwk.mdw.ac.at/music-dh</span></a> for further information.<o:p></o:p></span></p>
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