Transforming data into knowledge

Cesar Hidalgo

The Collective Learning group at the MIT Media Lab focuses on how teams, organizations, cities, and nations learn. Research in the Collective Learning group focuses on both the study of collective learning and on the creation of tools that facilitate learning in organizations and nations.

Established as the Macro Connections group in 2010, it was renamed as Collective Learning in 2017. The group has pioneered the study of collective learning in economies–by advancing the theory and practice of economic complexity, and in history–by creating the largest structured dataset

The group is renowned for the development of large data visualization engines, which are tools that algorithmically transform data into stories. These visualization engines receive millions of visitors every year and include:

The Collective Learning group at the MIT Media Lab focuses on how teams, organizations, cities, and nations learn. Research in the Collective Learning group focuses on both the study of collective learning and on the creation of tools that facilitate learning in organizations and nations.

Established as the Macro Connections group in 2010, it was renamed as Collective Learning in 2017. The group has pioneered the study of collective learning in economies–by advancing the theory and practice of economic complexity, and in history–by creating the largest structured dataset

The group is renowned for the development of large data visualization engines, which are tools that algorithmically transform data into stories. These visualization engines receive millions of visitors every year and include:

Group at a glance