Foundations:

Bayesian updating, filtering, information measures and information acquisition.

Tools:

AI and ML are prediction technologies. Explore categories of prediction problems and their economic consequences. These tools enable you to build your own theories.

Frameworks:

Using data for resource allocation, interaction between data and market power, data platforms as data feedback loops.

Measurement:

Various approaches to measuring and valuing this invisible, intangible asset.