Explore a comprehensive analysis of technological unemployment and labor market dynamics in this 50-minute talk by R. Maria del-Rio Chanona at the Santa Fe Institute. Delve into the complex interplay between automation, job displacement, and skill adaptability across various industries. Discover how labor network analysis and quantitative modeling provide insights into future workforce trends, challenging both alarmist and dismissive views on technological disruption. Learn about the uneven impact of AI and robotics on different job sectors, the importance of transferable skills, and the potential for lifelong learning in navigating evolving labor markets. Gain a nuanced understanding of how technological advancements reshape employment landscapes, privilege, and economic hardship, drawing parallels between historical industrial revolutions and contemporary challenges.
Overview
Syllabus
Introduction
About Maria
Early Career
AgentBased Modeling
Network Model
The Idea
Two Maps
Hypothesizing
Demographic Distribution
Counterintuitive
Risk of automation
Changing relative incentives
Feedback loops
Sensemaking
Optimism
The human scale
How can you be so sure
Mark Nelson
Taught by
Santa Fe Institute
