Media contributors, editors, and community members working to improve the Institute's video catalog.
Improving the quality, accessibility, and discoverability of Active Inference Institute video content.
Lead: Daniel Friedman
This project is archived. It is no longer active, and any participation prompts below describe how it previously operated.
The Video Improvement Project focuses on enhancing the quality, organization, and accessibility of the Institute's extensive video library — covering hundreds of livestreams, educational sessions, and project recordings from 2020 onward.
The Video Improvement Project works to improve the Institute's video content along multiple dimensions: production quality, metadata and discoverability, accessibility features (captions, transcripts), and organization of the video catalog. The Institute has produced hundreds of hours of content since 2020.
Editors, producers, metadata specialists, and media organizers are welcome. Even small contributions — improving descriptions, adding timestamps, or reviewing captions — make a meaningful difference.
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