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 for Advanced Studies (CIAS)
Corvinus University of Budapest

The Center for Collective Learning

At the Center for Collective Learning (CCL), we are interested in understanding how knowledge moves, grows, and decays, from teams to nations, and from the past to the future.

We study how technology, geography, and culture impact the growth and diffusion of knowledge using machine learning and data science tools.

We are a multidisciplinary team of researchers based at the University of Toulouse, in France, and Corvinus University, in Budapest.

Our research has informed sustainable industrial and economic development strategies, has led to the development of several digital democracy platforms, and has motivated the creation of dozens of massive public data observatories.

The Center for Collective Learning (CCL) is an interdisciplinary laboratory supported by a number of European and French research programs. Today, the CCL is supported by an ANITI Chair at the University of Toulouse, a European Research Executive Agency (ERA) Chair from the EU, and is part of the European Lighthouse of AI for Sustainability Horizon 2022 project.

If you want to get in touch or support CCL, connect with Veronika Hamar, CCL Executive Director at: veronika.hamar (at) uni-corvinus.hu

Latest Publications

Why people judge humans differently from machines: The role of perceived agency and experience. J. Zhang, J. Conway, C. A. Hidalgo (2023)

The policy implications of economic complexity. C.A. Hidalgo, Research Policy (2023)

Multidimensional economic complexity and inclusive green growth. Stojkoski, V., Koch, P. & C.A. Hidalgo (2023)

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)

Latest Working Papers

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

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

The Growth, Geography, and Implications of Trade in Digital Products.Stojkoski V., Koch P., Coll, E., Hidalgo, C. A. (2023)

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.