Designing systems that enhance or extend human cognitive capacities through real-time feedback, machine learning, and symbolic modeling. This theme investigates how computational and robotic systems can support learning, decision-making, and self-reflection. It draws on psychoanalytic theory to understand the structural dynamics of attention, desire, and thought, and on engineering to design systems that operate in synchrony with embodied cognition.
The Subject of Robotics Project investigates the symbolic, structural, and material conditions under which human and artificial subjects emerge. Drawing from control systems, robotics, artificial intelligence, and Lacanian psychoanalysis, the …
View projectThe Dialectical Information Architecture Project develops a novel framework for organizing, navigating, and evolving complex information systems. Built on a synthesis of traditional information architectures—hierarchical, organic, and sequential—the project introduces …
View projectThe Metastimuli Project develops methods to augment human learning by transforming conventional educational content—text, audio, or video with dialogue—into metastimuli: signals dynamically correlated with the learner’s own personal information management …
View project