Transforming data into knowledge

The Collective Learning group at the MIT Media Lab (formerly called Macro Connections) focuses on how 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.

The Collective Learning group was established as the Macro Connections group in 2010, when professor César A. Hidalgo joined the MIT Media lab. It was renamed the Collective Learning group in 2017. Since 2010, however, this group has has pioneered the study of collective learning in economies–by developing the theory and empirics of economic complexity, and in history–by developing and studying the largest structured dataset on biographical records.

The Collective Learning group is also 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 Observatory of Economic Complexity, DataUSA (w Datawheel), Immersion, DataViva (w Datawheel), and Pantheon, among others.


The Collective Learning group at the MIT Media Lab (formerly called Macro Connections) focuses on how 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.

The Collective Learning group was established as the Macro Connections group in 2010, when professor César A. Hidalgo joined the MIT Media lab. It was renamed the Collective Learning group in 2017. Since 2010, however, this group has has pioneered the study of collective learning in economies–by developing the theory and empirics of economic complexity, and in history–by developing and studying the largest structured dataset on biographical records.

The Collective Learning group is also 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 Observatory of Economic Complexity, DataUSA (w Datawheel), Immersion, DataViva (w Datawheel), and Pantheon, among others.


Group at a glance