Data is the fuel of Artificial Intelligence. Due to the high demand of high-quality data, recent years have witnessed a growing data marketplace where all kinds of platforms provide data services. A central question in this data marketplace is how to evaluate the data provided by an agent.

Human-generated data is playing an important rule in AI and e-commerce. Information elicitation aims to gather truthful information from self-interested agents and information aggregation refers to the problem of aggregating human-generated information into a more accurate prediction. 

Living in the Information Age, the information they access heavily influences human behaviors and decisions. Bayesian persuasion studies the design of information disclosure mechanisms aiming to incentivize desired agent behavior.