Research
Test ideas against data, formal methods and published evidence.
We investigate the systems behind artificial intelligence, decision making and emerging technology, then turn the strongest ideas into practical education, tools and advisory work.
Our research is not a separate academic shelf. It is the evidence layer beneath how we teach, advise and build.
Test ideas against data, formal methods and published evidence.
Translate the strongest findings into learning that leaders and teams can use.
Apply those methods to live decisions, workflows and technical systems.
Turn repeatable methods into tools, frameworks and lasting capability.
Start with three examples that connect executive decisions, rigorous evaluation and simulation.
A practical guide for non technical leaders who need to evaluate data and AI choices, build teams and make sound strategic decisions.
View the 2024 editionA systematic framework for reviewing token economies, illustrated through a DeFi project, Terra/Luna and Ethereum 2.0.
Read the paperAn agent based analysis of how different speculator types can shape token price dynamics, using the TokenLab simulation framework.
Read the preprintHow do we make complex systems easier to understand, test and improve?
From neural computation and model evaluation to responsible adoption in real organisations.
Methods for judging evidence, forecasting uncertainty and making better choices with imperfect data.
Formal audits and simulations that expose incentives, feedback loops and failure modes before they become expensive.
Go deeper into the publication record, experiment with an open simulation framework, or see how evidence becomes delivery.
Books, peer reviewed papers, doctoral research and clearly labelled preprints in one verified archive.
Open frameworkExplore agent based simulation for token economies and speculative market behaviour.
Applied evidenceSee how rigorous methods support practical decisions, training and implementation.
We collaborate with organisations, researchers and education providers on applied questions where evidence, technical depth and practical value all matter.