Contributors ready to take on a defined scope of research, educational, or applied work and share it publicly on a regular schedule.
A sustained contribution pathway for researchers and practitioners developing public work aligned with Active Inference.
On this page
Fellows develop research, applications, or public resources aligned with the Institute and Ecosystem, provide regular progress reports, and produce outputs that advance the field and remain publicly accessible.
Fellows work on a defined project or area of focus — research, software, educational materials, ontology, applications, or ecosystem support — and report on their progress at regular intervals. Reporting is public: fellows share updates through the community newsletter, project meetings, or public posts. These outputs accumulate into a body of work that is available to the entire Active Inference community and beyond.
Fellowship requires a meaningful time commitment and a clear scope. Fellows are expected to make progress on their defined work, communicate regularly about that progress, and deliver results that are useful to others. The specific requirements — reporting cadence, duration, deliverables — are established between the fellow and the Institute at the start of the fellowship. Most fellowships run for several months to a year.
Fellowship is suited for people who have already engaged with the Institute through volunteering, internship, or independent research and are ready to take on a larger, more sustained commitment. Prior experience with Active Inference is expected — fellows are contributors who can work with significant autonomy on a defined problem. If you are new to the Institute, starting through volunteering or internship is the recommended path to fellowship.
Fellowship outputs are intended to be publicly useful. Papers, software repositories, educational course materials, ontology contributions, datasets, and project documentation all count as fellowship outputs. The Institute supports fellows in making their work findable, citable, and reusable by the broader community. Published outputs are part of the permanent public record of the Institute's research and educational work.
Fellowship begins with a conversation about your proposed work and how it aligns with Institute and Ecosystem goals. The fellows pathway page describes the current process for expressing interest and proposing a fellowship scope. Most fellowships develop from existing participation — active contributors who want to formalize and deepen their engagement.
Key surfaces
A clear project focus — research, software, education, or applied work — agreed at the start.
Fellows share progress publicly on a regular schedule — contributing to the community record.
Papers, software, educational materials, and datasets that remain publicly accessible.
Fellowship is a natural progression from internship and volunteer experience.
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: Newcomer
Recurring public update surface for activity orientation and current work.
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: Contributor
Public Fellows pathway for structured Institute participation.
Audience: Contributor
Public mentorship pathway for guided participation and learning.
Audience: Contributor
Public Project Preparation shortlink for making proposed work legible and actionable.
Audience: Contributor
Public project measurement shortlink for reporting progress and outputs.
Official pages
Audience: Developer
Official Knowledge Engineering page.
Audience: Developer
Official Active Blockference page.
Audience: Contributor
Official get-involved entry point, currently resolving to participation.
Audience: Contributor
Official participation page.
Audience: Contributor
Official internship page.
Audience: Contributor
Official fellowship page.
Audience: Contributor
Public projects shortlink for project directories and activity-linked work.
Audience: Contributor
Public project measurement shortlink for reporting progress and outputs.
Repositories
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: Developer
Public ants repository in the ActiveInferenceInstitute GitHub namespace.
Audience: Developer
ATLAS
Audience: Developer
Public Biofirm repository in the ActiveInferenceInstitute GitHub namespace.
Audience: Developer
Public Bots repository in the ActiveInferenceInstitute GitHub namespace.
Audience: Developer
Python codebase for cognitive and Active Inference-oriented modeling work.
Audience: Developer
Entropy Based Sampling and Parallel CoT Decoding