Connect with us

Hi, what are you looking for?

AI Education

Professor Andrew Hudson-Smith Launches ‘Academic Trance’ Album from AI-Generated Music

Professor Andrew Hudson-Smith merges academia and music with his AI-generated Europop album ‘Place and Space,’ transforming complex urban concepts into engaging dance tracks.

A British professor is merging academia with the dance music scene through his latest project, a Europop dance album titled Place and Space, which aims to engage new audiences with scholarly research. Andrew Hudson-Smith, a professor of digital urban environments at University College London (UCL), released the 10-track album as a creative interpretation of his recent Routledge textbook, Cities in the Metaverse.

The album’s tracks are inspired by themes from the textbook, with lyrics penned by Hudson-Smith himself, paired with 1990s-style Eurotrance music generated by the artificial intelligence platform Suno. Released under the electronic artist name Digital Urban, the album is available on Spotify and other major streaming services, receiving significant attention with over 68,000 views on its YouTube preview this month.

Hudson-Smith’s book delves into futuristic concepts such as digital twins, virtual reality, and virtual urbanism, and he believes that transforming these academic themes into dance tracks creates a bridge between the lecture hall and the dance floor. “The idea of living simultaneously in physical ‘place’ and digital ‘space’ felt inherently musical to me,” he stated. His goal is to take complex ideas like simulation theory and urban data modeling—typically confined to university seminars—and present them in a way that resonates physically with listeners on a dance floor, referring to it as “brain food set to 130 BPM.”

Despite the challenge of finding lyrical inspiration in some of the book’s more technical chapter titles, such as “Covariance matrix” and “Digital habitation,” Hudson-Smith expressed surprise at how effectively they translated into song. Feedback from fellow academics has been positive, with some noting the lyrical quality of the songs, describing them as “almost poetic.” Hudson-Smith shared that he had played tracks from the album at his local village hall, receiving enthusiastic reactions, including an unexpected spark of creativity from a local resident who is set to release their own album.

While Hudson-Smith’s use of AI-generated music has drawn criticism from some musicians who label such creations as “AI slop,” he sees potential for AI tools to engage broader audiences with academic research in accessible formats. “These things are often labelled AI slop but, with the right musical choices, it’s worked out well,” he remarked, suggesting that Place and Space serves not only as music but as an “auditory roadmap for our increasingly virtual future.” He emphasized that deep thought and high energy can coexist, challenging conventional boundaries between academia and entertainment.

The intersection of technology and art in Hudson-Smith’s work signals an evolving landscape where scholarly research can reach diverse audiences through innovative mediums. As the boundaries between physical and digital realms continue to blur, projects like this may pave the way for a new approach to academic dissemination, merging rigorous thought with popular culture.

See also
David Park
Written By

At AIPressa, my work focuses on discovering how artificial intelligence is transforming the way we learn and teach. I've covered everything from adaptive learning platforms to the debate over ethical AI use in classrooms and universities. My approach: balancing enthusiasm for educational innovation with legitimate concerns about equity and access. When I'm not writing about EdTech, I'm probably exploring new AI tools for educators or reflecting on how technology can truly democratize knowledge without leaving anyone behind.

You May Also Like

AI Generative

Researchers from UCL and University of Urbino leverage AI to generate hit-like drug candidates, significantly enhancing biological activity for GSK-3β.

Top Stories

UCL and Queen Square Analytics use AI to identify two distinct multiple sclerosis subtypes, enhancing treatment personalization for 600 patients through blood biomarkers.

AI Research

UCL researchers use AI to identify two new subtypes of multiple sclerosis in 600 patients, enabling personalized treatment strategies to improve outcomes.

AI Research

UCL announces a 5-year PhD and research assistant role focused on AI-driven tools for ophthalmology education, enhancing student engagement with LLMs.

AI Tools

Country music producers are leveraging AI tool Suno to streamline songwriting, enabling artists like Maggie Reaves to produce polished demos in just one day.

© 2025 AIPressa · Part of Buzzora Media · All rights reserved. This website provides general news and educational content for informational purposes only. While we strive for accuracy, we do not guarantee the completeness or reliability of the information presented. The content should not be considered professional advice of any kind. Readers are encouraged to verify facts and consult appropriate experts when needed. We are not responsible for any loss or inconvenience resulting from the use of information on this site. Some images used on this website are generated with artificial intelligence and are illustrative in nature. They may not accurately represent the products, people, or events described in the articles.