(experimental) Parallel multi-agent swarm architecture for collective AI intelligence. All agents live. All agents share memory. All agents iterate until consensus.

Demonstration of the Framework to manage Variance Theories in Software Engineering

Replication package for the paper "Theory Building from Data Strategy Studies: Aggregating Evidence on Model Quantization in Deep Learning Systems".

PhD Lecture "Research Synthesis: An Introduction to Reviews, Meta-Analyses, and PRISMA Criteria"

Enable parallel multi-agent consensus research with a live shared memory and preserved dissent using a three-tier hierarchical model.