"Augmented society" chair

In 2022, we have made significant progress on key scientific objectives. In
the use of machine learning to understand economic development, we have
completed an article introducing the notion of multidimensional economic complexity ([1]
an article on the political implications of economic complexity ([2] in progress
a book chapter on the non-fungibility of knowledge ([3] and signed a contract with
with Penguin-Random House to write a book on the principles governing growth
knowledge. With regard to digital democracy, we have published two platforms
designed to develop collaborative government programs during the election
French presidential election in 2022 and the Brazilian presidential election. We also
made progress in understanding people's judgment of AI thanks to an article (currently being
submitted) exploring how people's judgments of machine actions are influenced by their perception of machine agentivity.


1. Stojkoski, V., Koch, P. & Hidalgo, C. A. Multidimensional Economic Complexity: How the Geography of Trade, Technology, and Research Explain Inclusive Green Growth. arXiv preprint arXiv:2209.08382 (2022).

2. Hidalgo, C. A. The Policy Implications of Economic Complexity. arXiv preprint arXiv:2205.02164 (2022).

3. Hidalgo, C. A. Knowledge is non-fungible. arXiv preprint arXiv:2205.02167 (2022).

4. Zhang, J., Conway, J. & Hidalgo, C. A. Why do people judge humans differently from machines?
The role of agency and experience. arXiv preprint arXiv:2210.10081 (2022).

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