# 📄 Sensemaking Federation: Exploring the Frontiers of Digital Innovation

**Jack Park, Marc-Antoine Parent, Aaditya Bhatia, Daniel Friedman** (2024) · *[10.5281/zenodo.14574046](https://doi.org/10.5281/zenodo.14574046)*

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## Abstract

> This paper discusses the concept of knowledge federation within the realm of sensemaking, highlighting the establishment of a global open Sensemaking Federation. It explores the dynamics of inter-entity connections and the role of digital public libraries in maintaining knowledge artifacts.

## Keywords

`sensemaking federation` · `digital innovation` · `knowledge federation` · `collaborative sensemaking` · `decentralized infrastructure`

## Key Contributions

- Introduction of the concept of digital public libraries as knowledge federation servers.
- Development of a framework for understanding epistemic communities through K-Hubs.
- Integration of game-based elements to enhance collaborative sensemaking.
- Exploration of advanced topic mapping techniques for knowledge organization.

## Methods

- Facilitation of a panel discussion with experts in sensemaking and digital innovation.
- Use of topic mapping to create structured knowledge graphs.
- Incorporation of game mechanics to foster skills in deep listening and idea synthesis.
- Engagement of diverse participants to explore the federation of meaning.

## 🎯 Consulting & Tutoring

**Available for AI Research Consulting and Tutoring.** [Contact Daniel Ari Friedman, PhD](https://danielarifriedman.com/) for collaboration on Active Inference, Bayesian modeling, and computational biology.

## Citation

```bibtex
@article{2024_SensemakingFederation,
  author = {Jack Park, Marc-Antoine Parent, Aaditya Bhatia, Daniel Friedman},
  title = {{Sensemaking Federation: Exploring the Frontiers of Digital Innovation}},
  journal = {[10.5281/zenodo.14574046](https://doi.org/10.5281/zenodo.14574046)},
  year = {2024},
}
```

## File Inventory

- `AGENTS.md` (1,900 bytes)
- `2024_SensemakingFederation.pdf` (281,717 bytes)
- `README.md` (1,413 bytes)
- `SKILL.md` (1,673 bytes)