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Office of Undergraduate Research Home » 2025 Undergraduate Research Symposium Schedules

Found 1 project

Performing Arts Presentation 2

12:30 PM to 2:00 PM
Birdsong in the Machine: An Auditory Re-Imagination and Realization in Spreading Wildlife Awareness and Technological Advancement
Presenter
  • Ian Tsai, Senior, Computer Science Mary Gates Scholar
Mentors
  • Maria Elena Garcia, Comparative History of Ideas
  • Richard Watts, French and Italian Studies
Session
    Performing Arts Session
  • Meany Hall Studio Theatre
  • 12:30 PM to 2:00 PM

  • Other Comparative History of Ideas mentored projects (6)
  • Other students mentored by Maria Elena Garcia (4)
  • Other students mentored by Richard Watts (4)
Birdsong in the Machine: An Auditory Re-Imagination and Realization in Spreading Wildlife Awareness and Technological Advancementclose

Birdsong in the Machine is a soundscape composition that explores the evolving relationship between natural and artificial worlds through the story of the Streaked Horned Lark (Eremophila alpestris strigata), a threatened coastal songbird native to the Pacific Northwest. The central research question is: How can artificial intelligence (AI) and machine learning (ML) enhance environmental storytelling to amplify the voices of endangered species and reimagine human-nature-technology relations? By integrating AI-generated audio, wildlife recordings, and digital sound processing, this project critically examines the paradoxical role of technology as both a disruptor and preserver of ecological systems. Inspired by my lifelong connection to technology and deep appreciation for the natural world, Birdsong in the Machine reflects on the impacts of technological progress on the Streaked Horned Lark. The project draws from Donna Haraway’s A Cyborg Manifesto and the works of Bernie Krause and Thom van Dooren, challenging the perceived divide between the natural and artificial. It envisions a future where these realms coexist harmoniously, fostering collaboration rather than conflict. This composition combines recordings of the lark’s song and habitat with AI-generated audio, using machine learning models to emulate and predict natural soundscapes. Digital audio processing techniques integrate these elements into a cohesive narrative. Bibliographic, archival, and ethnographic research reinforce the ecological and artistic focus of the composition. Through its juxtaposition of organic and AI-generated sounds, Birdsong in the Machine illuminates the paradox of technology’s role in ecological degradation and preservation. The soundscape fosters empathy and awareness for endangered species while reimagining relationships between humans, nature, and technology. Future directions will explore the ethical implications of using AI in ecological art and expand collaborations with scientists and digital artists. Ultimately, this piece stands as both environmental advocacy and an artistic experiment, challenging audiences to rethink their place in the interconnected natural and artificial worlds.


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