A Marketplace for Data: An Algorithmic Solution

Explore a groundbreaking algorithmic solution for a data marketplace in this 32-minute lecture by Munther Dahleh from the Massachusetts Institute of Technology. Delve into the concept of data as currency, addressing challenges such as data breaches and the complexities of creating a fair and efficient market. Examine different levels of complexity and various applications, including real-time markets. Learn about key aspects such as truthfulness, observation results, fairness, allocation, and revenue maximization. Gain insights into the future of data exchange and its potential impact on societal networks.

Introduction
Data as a currency
Data breaches
Challenges
Comparison
What is the market
Different levels of complexity
Different applications
Realtime market
truthfulness
observation result
fairness
allocation
revenue maximization