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Tuesday 23rd April 2024 15:00 CEST
Professor César A. Hidalgo
For more than a decade, Economic Complexity methods have been a flagship application of machine learning to questions of sustainable international development. In this talk I will present an introduction to the main methods of the field and its applications. I will conclude by discussing some new research directions.
César A. 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 (CCL), a multidisciplinary research group at the University of Toulouse and the Corvinus University of Budapest. Between 2010 and 2019 Hidalgo led MIT’s Collective Learning group, and prior to that, he 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 the 2018 Lagrange Prize and three Webby Awards He is 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).
