Research-led explanations of human capacity, learning and technological change. Start with the foundations, then follow the evidence and related ideas as the Learning Hub grows.
How local-global, connectivity and layer-sensitive studies test claims about predictive hierarchies.
A cortisol sample taken after a difficult conversation looks like a direct reading of stress. It is not. It is one observation in a hormone time series…
Two people tick “I have decided what I want to do” on a questionnaire. One has tried several options, chosen a path and can explain why it fits. The…
A teenager researches several possible courses of study, asks relatives about their experiences and visits a workplace. Another repeatedly asks whether…
A person passes a bakery after lunch. They are not hungry and do not expect the cake to taste better than yesterday’s, yet the smell and familiar sign…
How to assess whether a group actually combines distributed information and improves its answer.
How to study private verbal thought through reports, sampling, interference and neural tasks.
How Stroop and flanker tasks reveal conflict while mixing attention, speed and response strategy.
How category mixing affects discrimination and learning in carefully controlled schedules.
How to test whether people can understand, contest and redirect AI decisions across tasks, roles and governance layers.