Center for Collective Learning at ANITI, University of Toulouse

Center for Collective
Learning

at the Artificial and Natural Intelligence Institute (ANITI)
University of Toulouse
&
at the Corvinus Institute of Advanced Studies (CIAS)
Corvinus University

The Center for Collective Learning

The Center for Collective Learning (CCL) is an interdisciplinary laboratory working on economic complexity, the ethics of artificial intelligence, and digital democracy. For decades we have pioneered the use of artificial intelligence and network science to understand regional, international, and urban development. We are pioneers in the field of economic complexity—the use of machine learning in economic geography—and have innovated in the development of digital democracy platforms.

The CCL is composed of a highly motivated team of scientists, scholars, and entrepreneurs based at the Artificial and Natural Intelligence Institute (ANITI) of the University of Toulouse and at the Corvinus Institute of Advanced Studies (CIAS) of the Corvinus University in Budapest.

CCL is led by professor Cesar A. Hidalgo, a holder of an ANITI Chair at the University of Toulouse and with appointments at the University of Manchester and Harvard. Prior to moving to Toulouse, Hidalgo directed the Collective Learning Group at MIT for 9 years.

If you want to get in touch with us, send us an email at centerforcollectivelearning@gmail.com

Latest Working Papers

Understanding Political Agreements and Disagreements: Evidence from the 2022 French Presidential Election. Navarette, C., Macedo, M., Zhang, J., Hidalgo, C.A. et al. (2022)

The Role of Immigrants, Emigrants, and Locals in the Historical Formation of Knowledge Agglomerations. Koch, P., Stojkoski, V. & C.A. Hidalgo (2022)

Why do people judge humans differently from machines? The role of agency and experience. Zhang, J., Conway, J. & C.A. Hidalgo (2022)

Multidimensional Economic Complexity: How the Geography of Trade, Technology, and Research Explain Inclusive Green Growth. Stojkoski, V., Koch, P. & C.A. Hidalgo (2022)

Latest Publications

Bridging the polarization gap: Maximizing diffusion among dissimilar communities. Waniek, M. & C.A. Hidalgo (2022)

Reciprocity heightens academic performance in elementary school students. Oyarzún, M., C.A. Hidalgo et al. (2022)

How Humans Judge Machines. C.A. Hidalgo et al. MIT Press (2021)

Economic Complexity Theory and Applications. C.A. Hidalgo. Nature Review Physics (2021)

Flagship Collaborations

The Observatory of Economic Complexity (OEC)

The Observatory of Economic Complexity is a leading international trade data distribution platform. It was begotten at MIT’s Collective Learning group in 2011, and after being open-sourced, it was professionalized at Datawheel (a company that spun out of the CCL in 2013). Today the OEC has dozens of proprietary data pipelines and receives 800k+ monthly users. The CCL is an active partner and collaborator with the OEC. The OEC is updated monthly and has been used by over 5,000 academic publications according to Google Scholar.

Pantheon

Pantheon is an observatory of human collective memory. It contains structured data on the biographies of more than 80k notable individuals. Pantheon was created at MIT’s Collective Learning in 2013. Its current development is now performed by Datawheel. The Center for Collective Learning continues to participate in the Pantheon project by performing academic research on collective memory and by exploring the design of new features that could enhance our understanding of human collective memory.