# 💻 ResNei: Solution Design Document

**Janna Lumiruusu, Daniel Friedman, Vladimir Baulin, Andrew Pashea, Shagor Rahman** (2025) · *Zenodo*

[![DOI](https://img.shields.io/badge/DOI-10.5281%2Fzenodo.15389682-blue)](https://doi.org/10.5281/zenodo.15389682)

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## Abstract

> ResNei is an AI-augmented environment aimed at transforming the discovery, analysis, and connection of ideas through a dynamic knowledge graph. It promotes collaboration among generalists and specialists, fostering an interconnected research ecosystem.

## Keywords

`ResNei` · `Research Neighbourhood` · `collaborative research` · `distributed collaboration` · `interdisciplinary` · `knowledge sharing`

## Key Contributions

- Introduction of the Research Discovery Engine that creates a responsive knowledge graph.
- Development of Conceptual Nexus Models (CNMs) for modular representation of ideas.
- Shift from passive systems to a dynamic, action-intention model for enhanced collaboration.
- Focus on reciprocity, interdependence, and social accountability in research.

## Methods

- Utilization of a graphical concept model to facilitate engagement between specialists and generalists.
- Implementation of a dynamic linking system for an evolving corpus of scientific knowledge.
- Adoption of scientific protocols to ensure reliable evaluation of scientific output.
- Integration of UX design principles that prioritize collaboration and contextual insight.

## 🎯 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{2025_ResNei,
  author = {Janna Lumiruusu, Daniel Friedman, Vladimir Baulin, Andrew Pashea, Shagor Rahman},
  title = {{ResNei: Solution Design Document}},
  journal = {Zenodo},
  year = {2025},
  doi = {10.5281/zenodo.15389682},
}
```

## File Inventory

- `AGENTS.md` (1,787 bytes)
- `2025_ResNei.pdf` (1,842,767 bytes)
- `README.md` (1,481 bytes)
- `SKILL.md` (1,714 bytes)