Rethinking Human Capital: The Past and Future of Work

There are many uncertainties about what the future of work will look like. What changes will new technologies bring? Will our workforce be able to adapt to the advances of AI? Which cities are best positioned to embrace the coming changes? How will we organize teamwork? What can we learn from past technological paradigm shifts? To answer these questions, we will explore theories from different fields, structured and unstructured datasets, as well as how to learn from past changes in the nature of work as a means of predicting where work – and our workforce – may be heading next.

The Winter School will bring together academics at the frontier of research on the future of work and the newly emerging literature that brings a complexity approach to the study of human capital and labor markets. The school will have a broad remit, exploring how tasks are reshaped by AI integration, skills mismatch and skills obsolescence, the functioning of labor markets, the spatial division of labor and redistribution of employment, and lessons from historical experiences of rapid technological change. Labs will teach students how to work with new data sources, including online job postings, GitHub repositories, and historical sources. 

Find details and application instructions on the Winter School program page.