Our vision
Theory Research Exchange (T-Rex) aims to raise scholarly productivity by building knowledge discovery systems.
Our approach is to (1) build repositories of standardized symbolic representations of social science conceptual knowledge, (2) apply and develop methods and metrics to analyze such corpora, and (3) utilize machine learning agents to assist knowledge discovery.
Tools
Codasaurus – facilitated the coding process by automatically generating Cypher code for a graph version of a publication based on researcher input, stored in a QR code for easy access and sharing.
Analysaurus — supported advanced querying and analysis of encoded knowledge.
Publications
- Extending the foresight of Phillip Ein-Dor: Causal knowledge analytics
- Causal Knowledge Analytics: A New Methodology for Business and Social Science Scholars
- Analysing the past to prepare for the future: Writing a literature review a roadmap for release 2.0
- Literature reviewing: addressing the jingle and jangle fallacies and jungle conundrum using graph theory and NLP
- Digitised knowledge-based literature reviewing: a tutorial on coding causal and process models as graphs
- A Knowledge Graph-Based RAG-GLLM Approach for Literature Review and Knowledge Discovery
- An Entropy Measure of Knowledge Evolution