Teaching & Public Speaking
Undergraduate & Graduate Teaching
Welcome to Metrics the Future of Work. This course is designed to help you understand how work has been measured historically, how it is measured today, and what new approaches may be needed in the evolving AI landscape. We will unpack the assumptions behind these metrics and consider the implications of using them to measure human work for individuals, business performance, and society at large.
A central focus will be on quantitative measures such as automation, augmentation, and exposure to AI, along with new approaches that capture the impact of emerging information technologies on labor and firms. We will draw on concepts from economics, organizational sciences, computational social science, and network analysis, providing exposure to analytical frameworks and data-driven techniques for studying the present and future of work.
Metrics for the Future of Work
Executive Education
AI & the Future of Work
Methods for Computational Social Science: Applications to the Workforce
Innovation, and Business Analytics Certificate Program 2024 & 2025
MIT Sloan & Universidad del Pacifico
Methods for Computational Social Science: Applications to the Workforce
Data Analytics Certificate Program 2024
MIT Sloan & Universidad de Chile
Guest Lectures
AI & Human Complementarities at Work
Course: AI & Human Flourishing
Professor: Pattie Maes
MIT Media Lab 2025
The EPOCH of AI for Entrepreneurs
Course: New Tech Ventures
Professor: Stephen Brand
Babson College 2025
Future of Work
Course: Children Well Being and Digital Technology
Professor: Sandra Cortesi
Technical University of Munich 2025
Methods of Quantitative Urban Research
Course: Communication, Technology, and Urban Life
Professor: William Marler
Central University of Zurich Fall 2021, Spring 2022