Summer School on Economic Complexity by Cesar Hidalgo
The Center for Collective Learning (CCL) invites aspiring economists, researchers, and curious minds for a day-long course on economic complexity.Date: July 10 2024 9:00-16:00
Location: Corvinus University of Budapest
The Summer School on Economic Complexity (SSEC) is a full day course on the basics of economic complexity taught by professor Cesar A. Hidalgo. The course is designed for aspiring economists, researchers, and curious minds eager to grasp the complexity of our economy. Through a series of lectures and interactive discussions participants will gain a basic understanding of this growing field.
Starting on July 11, you can also join us on the first Conference on Economic Complexity (CEC).
Participation is free of charge, but registration is mandatory.
Professor Cesar Hidalgo is a Chilean-Spanish-American scholar known for his contributions to economic complexity, data visualization, and applied artificial intelligence.
Hidalgo leads the Center for Collective Learning at the Artificial and Natural Intelligence Institute (ANITI) of the University of Toulouse and the Corvinus Institute for Advanced Studies at Corvinus University of Budapest. He is also an Honorary Professor at the University of Manchester.
Between 2010 and 2019 Hidalgo led MIT’s Collective Learning group. Prior to working at MIT, Hidalgo was a research fellow at Harvard’s Kennedy School of Government. Hidalgo is also a founder of Datawheel, an award winning company specialized in the creation of data distribution and visualization systems. He holds a PhD in Physics from the University of Notre Dame and a Bachelor in Physics from Universidad Católica de Chile.
Hidalgo’s contributions have been recognized with numerous awards, including the 2018 Lagrange Prize and three Webby Awards. Hidalgo’s is also the author of dozens of peer-reviewed papers and of three books: Why Information Grows (Basic Books, 2015), The Atlas of Economic Complexity (MIT Press, 2014), and How Humans Judge Machines (MIT Press, 2021).