Students, researchers, and practitioners seeking an immersive Active Inference learning experience.
An intensive in-person or online school for deep engagement with Active Inference.
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The Seasonal School is an Institute educational program providing intensive, structured, and in-depth engagement with Active Inference theory, modeling, and applications. It has run multiple cohorts and developed a track record as a concentrated learning experience for participants from varied backgrounds.
The Seasonal School delivers concentrated Active Inference education through structured sessions over days or weeks. It combines lectures, workshops, modeling practice, and discussion — creating a learning environment that accelerates understanding for participants at multiple levels of prior background.
The Seasonal School has run several cohorts, each producing recordings and resources for the broader community. Past recordings are accessible through the Institute's video channels.
The Institute is planning a five-day, in-person edition — Active Inference Summer School: Foundations and Applications — organized by Daniel Friedman and Luca Possati. The Institute is seeking co-organizers, a hosting venue, sponsors, and session presenters to help bring the program to life.
The Seasonal School accepts applications from students, researchers, and practitioners. Follow the Institute's communications for upcoming editions.
Key surfaces
Related resources
External links are resolved from the shared registry so visitor-facing destinations stay centralized and checkable.
Audience: Newcomer
Primary public community channel for conversation, coordination, and newcomer orientation.
Audience: Learner
Learning repository for getting started with Active Inference materials and pathways.
Audience: Researcher
Public ecosystem shortlink for Institute context, projects, activities, and conceptual maps.
Audience: Newcomer
Public video channel for seminars, streams, educational sessions, and community recordings.
Audience: Developer
Public GitHub organization for Institute repositories and open-source work.
Audience: Developer
Project repository for multiagent Active Inference modeling work.
Audience: Developer
Generalized Notation Notation project repository for model communication.
Audience: Developer
Geospatial modeling repository connected to ecological and bioregional applications.
Audience: Researcher
Research and publication-oriented repository for the Active Inference Journal.
Audience: Learner
Public livestream surfaced from the official site.
Audience: Researcher
External paper repository surfaced from the official research page.
Audience: Researcher
Reachable arXiv reference surfaced from the official research page.
Official pages
Audience: Learner
Public documentation for START, a tailored Active Inference research and training system.
Audience: Newcomer
Public newsletter destination.
Audience: Contributor
Public projects shortlink for project directories and activity-linked work.
Audience: Contributor
Public project measurement shortlink for reporting progress and outputs.
Audience: Learner
Public Textbook Group shortlink for cohort and learning-group coordination.
Audience: Learner
Published Active Inference knowledge base.
Audience: Researcher
Public Active Inference Ontology shortlink for shared conceptual infrastructure.
Audience: Contributor
Public Project Preparation shortlink for making proposed work legible and actionable.
Repositories
Audience: Researcher
Computational meta-analysis of Active Inference literature with nanopublication and knowledge-graph outputs.
Audience: Researcher
Ontology-oriented repository for shared Active Inference concepts and decentralized science knowledge infrastructure.
Audience: Developer
Notebook-based applied Active Inference work connected to blockchain-adjacent and generative modeling examples.
Audience: Developer
Python models and materials for ant-inspired multiagent Active Inference.
Audience: Researcher
Active Inference & Category Theory
Audience: Learner
For learning and exploring Probabilistic Inference
Audience: Researcher
Public content repository for the Active Inference Journal and related publication infrastructure.
Audience: Researcher
Active Entity Ontology for Science