Diego Antonio Mar��n Bucio

Doctoral Research Fellow - RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion (IMV)

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Email d.a.m.bucio@imv.uio.no

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Visiting address ŷ�ޱ��_ŷ�ޱ�Ͷע��վ�Ƽ�@sv. 3A Harald Schjelderups hus 0373 Oslo

Postal address Postboks 1133 Blindern 0318 Oslo

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Bio

Diego Mar��n, BA, MA [he/him] is a dance researcher and performing artist whose choreographic work has been presented internationally. His research at the intersection of Dance and AI has garnered recognition from esteemed institutions, including the University of Cambridge and the National Body for Dance in the UK, where it achieved shortlisting for the ONE Dance UK Awards 2022. Furthermore, the Cultural Ministry of Mexico has acknowledged his work, providing funding for the dissemination of perspectives on Human-AI creative collaboration within the cultural industries. He is the author of the book, "Encarnando lo Artificial" [Embodying the Artificial] where he published his full research on AI dance. The dissemination of his work takes the form of a compelling series of talks and performances featuring an AI dancer.

His PhD research is focused on the multimodal interaction in dance-music performances, having Djembedance as the axis of anthropological documentation. The research follows an Ethnochoreological approach that encompasses empirical and structural dance analysis techniques, it aims to offer an explanation of the bodily creation of rhythm in Djembedance and to conceptualize a dance notation method within XR technologies.

Academic background

MRes Choreomundus: International Master in Dance Knowledge, Practice and Heritage (NTNU, Roehampton University, Szeged University, UCA)
MA in Theater and Performing Arts (UNIR)
BA in Dance (UAEH)
BA in Communication Sciences (UNLA)

Academic interests

Dance, Cultural Anthropology, Ethnochoreology, Posthumanism, Human-AI interaction, Choreomusicology.

Teaching

"Human-AI Dance" at Rambert School of Ballet and Contemporary Dance / University of Kent - MA in Dance Research - (London, 2023).

Fellowships

PhD Fellowship in Dance Rhythm 2023-2026 (University of Oslo / Research Council of Norway)
Leverhulme Center for the Future of Intelligence Visiting Student Fellowship 2022 (University of Cambridge)
Erasmus Mundus Joint Master's Degree Award 2020-2022 (European Commission)
ANUIES-TIC Academic Excellence Fellowship Award 2019 (UNIR M��xico)
UNLA Artistic Fellowship 2010-2014 ( Universidad Latina de Am��rica )

Awards

One Dance UK Awards 2022 ( Shortlisted nominee ) Science and Research in Dance
SACP Interdisciplinary and Transdisciplinary Arts Award 2022 (Cultural Ministry of Mexico)
Choreo Dance Film Festival Official Selection 2022
Global Trajectory Award "Rumbo Joven" 2018 ( Mexican Youth Institute )

Media

Dance Magazine UK (ISTD, Issue 498)

Televisa N+ Mexico (Denisse Maerker, 2022)

Tags: Dance, Anthropology, Human-AI interaction, Performing Arts, Movement Analysis, Entrainment

Mar��n Bucio, Diego Antonio (2023). Dance and Human-AI kinaesthetic co-creativity. MAGOTZI Bolet��n Cient��fico de Artes del IA. ISSN 2007-4921. 11(23), p. 1�C5. doi: 10.29057/ia.v11i22.10684. Show summary
Human-machine interaction in dance is not a new phenomenon, however, the evolution of Artificial Intelligence (AI) in recent years allows new scenarios where novel methods of creative collaboration between human and artificial intelligence are proposed. From an interdisciplinary approach, this article provides an analysis of different software for choreographic creation and synthesises the findings from the creative collaboration between the author and an AI dancer, which were presented at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge (UK). The author concludes that in order to co-create dance with an AI, it is not enough to simply use it, but it must enable an experience in which the human and machine can be exposed to a mutual influence that is not limited to logical reasoning, but is based on kinaesthetic intuition.
Mar��n Bucio, Diego Antonio (2021). Dance creative processes during the Covid-19 pandemic. File 1: social distance in the studio. Academia Letters. ISSN 2771-9359. 1(1). doi: 10.20935/AL3664. Show summary
The article documents and analyzes how the community of dance experienced COVID-19 Pandemic in some different cities and contexts. In this file, the analysis focuses on the physical contact during rehearsals and dance lessons with three different cases around France, as well as reflections about the socio-cultural conditions of the dance community and the future of dance on the screens.

View all works in Cristin

Mar��n Bucio, Diego Antonio (2023). Curiosity, culture, career and community. [Journal]. London, England.
Mar��n Bucio, Diego Antonio (2022). Dancing Embryo.
Mar��n Bucio, Diego Antonio (2022). Human-AI dance: hybrid co-creativity in the posthuman era. Show summary
The talk challenges previous approaches to creative collaboration between humans and artificial intelligence, questioning whether we are only using AI to enhance our own creativity rather than a collaboration between two creative agents. In addition, the author argued for the development of more body-interactive AI systems, as he alerts us to the potential decline of bodily-kinesthetic intelligence. His point was accompanied by a proposal presented together with Benedikte Wallace, where Diego Mar��n and an interactive AI created and performed dance in real-time.

View all works in Cristin

Published Sep. 12, 2023 9:58 AM - Last modified Apr. 15, 2024 12:15 PM

Projects

DjembeDance �C Multimodal rhythm in music and dance from West Africa