The Center for Collective Learning (CCL) is a multidisciplinary research laboratory focused on understanding how knowledge is created, shared, and applied. CCL explores these research questions using tools from data science, artificial intelligence, and complex systems to understand how individuals and organizations generate economic growth, innovation, and societal progress.

Key research themes include:

Economic Complexity: explores the use of machine learning methods to understand the economic evolution of countries and regions. Economic complexity is used by governments and international agencies to inform economic development strategies: from export promotion to regional innovation systems.

Augmented Decision Making: explores the use and creation of AI-driven tools that enhance human collaboration and decision-making, from augmented democracy to understanding how humans judge AI decisions.

Collective Learning and Collective Memory: explores the principles and mechanisms that govern the growth, diffusion, and preservation of knowledge.

CCL is an highly innovative interdisciplinary laboratory bridging the gap between data-driven insights and actionable knowledge. CCLs creates tools and frameworks that empower policymakers, educators, and businesses to tackle complex global challenges.