Complexity Economics Models for COVID-19 and Beyond - A Conversation with J. Doyne Farmer

Explore complexity economics modeling for COVID-19 and future challenges in this hour-long virtual discussion with J. Doyne Farmer from the Santa Fe Institute's Applied Complexity Network. Delve into the construction of a Remote Labor Index at the occupational level, its mapping onto industries, and the combination with essential industries to estimate supply-side shocks. Compare these to demand shocks in sectors like airlines and restaurants, and learn how these impacts reverberate through the economy using a supply chain model. Gain insights into the need for more realistic complexity economics models, particularly for supply chain dynamics at the firm level. Discover Farmer's vision for gathering data and developing necessary models to address not only COVID-19 but also future economic challenges. Enhance understanding by reading the suggested paper on supply and demand shocks in the COVID-19 pandemic prior to viewing.