{"podcast":{"title":"The Mr. Bill Podcast","slug":"the-mr-bill-podcast-496804","podcast_index_feed_id":496804,"rss_url":"https://mrbillstunes.libsyn.com/rss","website_url":"http://mrbillstunes.libsyn.com/website","image_url":"https://static.libsyn.com/p/assets/8/7/e/3/87e3b714c03cc558/billpodcast1400.jpg","author":"Bill Day","episode_count":187,"summary":"Mr. Bill and Guests","last_synced_at":"2026-06-12T00:20:11.386385+00:00","page_url":"https://stenobird.com/podcast/the-mr-bill-podcast-496804"},"episode":{"title":"MBP #175 Supertask, Michael Schnebly + Landry Bulls","slug":"mbp-175-supertask-michael-schnebly-landry-bulls","published_at":"2025-08-14T11:00:00+00:00","page_url":"https://stenobird.com/podcast/the-mr-bill-podcast-496804/mbp-175-supertask-michael-schnebly-landry-bulls","show_page_url":"https://stenobird.com/podcast/the-mr-bill-podcast-496804","url":"https://mrbillstunes.libsyn.com/mbp-175-michael-schnebly-justin-frankel-landry-bulls","audio_url":"https://traffic.libsyn.com/secure/mrbillstunes/175_Supertask_Landry_Michael_PodFinal_V2.mp3?dest-id=1532435","summary":"In this conversation, this research team discusses their innovative project that combines social cognition, crowd dynamics, and machine learning. They explore how to utilize body tracking technology and infrared cameras to gather data on audience behavior during live performances. The team aims to understand the relationship between crowd dynamics and environmental factors, ultimately seeking to predict crowd behavior and enhance audience engagement. In this conversation, the speakers delve into the complexities of extracting data from crowd dynamics, particularly in the context of music performances. They discuss the challenges of video data extraction compared to audio, the inspiration behind their project, and the ethical implications of using technology for crowd surveillance. The conversation also touches on the potential for real-time integration of audience behavior into performances, the future of brain-computer interfaces, and the exploration of life beyond Earth through advanced technology. Michael Schnebly is an Applied Physics PhD student at Harvard University, where he studies the mechanics of proteins. He is also the creator of Stepwise (@stepwise.xyz), an experimental artist project using body-tracking technology to build new musical instruments and ways of performing. His work bridges scientific research, live performance, and social experimentation. Michael is one of the co-creators of \"Calibration,\" a new collaborative research-performance series alongside neuroscientist Landry Bulls and electronic music artist Supertask. Calibration is a scientific study of group synchrony, embodiment, and the neural basis of musical experience through body-tracking in live concert crowds. It launches at Cervantes' Other Side in Denver this summer. Michael Schnelby L…","meta_description":"In this conversation, this research team discusses their innovative project that combines social cognition, crowd dynamics, and machine learning. They exp…","key_points":[],"chapters":[],"topics":[],"duration_seconds":3035,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/the-mr-bill-podcast-496804/episodes/mbp-175-supertask-michael-schnebly-landry-bulls/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/the-mr-bill-podcast-496804/mbp-175-supertask-michael-schnebly-landry-bulls.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}