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.

Syllabus

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