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.
A team completes a difficult task, then meets again. One group reports that the result was fine and moves on. Another asks where assumptions failed…
Technologies do not merely sit between human beings and the world. They help shape what becomes visible, actionable, urgent, believable, easy, difficult, and morally salient.
A critical guide to Posner and Petersen’s 1990 attention-system paper and how its framework changed in later research.
A critical guide to the benefits, limits and failure modes of offloading retrospective memory to external aids.
A critical guide to the 2026 meaningful-work review, causal evidence and the need to protect worker agency and pay.
The Discernment Stack for the AI Age is an Institute synthesis that organizes seven functions required for responsible judgment under conditions of abundant machine-generated information: stakes, provenance, evidence, verification, calibration, counterevidence and accountable action. It is a map for integration, not a validated psychological scale.
A critical guide to Runco’s 2024 argument that AI discovery and innovation should be distinguished from human creativity.
A critical guide to the 1997 Fast Friends experiment, its later tests and limits of short-term closeness.
A critical guide to the four research meanings of social connection and why their measures cannot be substituted.
The human capacity gap is the Institute’s synthesis term for the distance that can emerge between expanding external technological capability and the human and institutional capacities required to understand, govern, challenge, integrate and remain responsible for its use.