Teaching
Graduate and executive courses in operations research, data science and public policy. They carry the same claim as the rest of this work: the objective function a model optimises is a decision about who is served first, and it can be argued about.
Energy, warming, health, logistics, quantum computing: the political and economic questions increasingly turn on technical content, and a leader who misreads the science will decide badly. The concepts and techniques that help someone decide, for people who already make decisions and people who are about to.
Turning analysis into action, and deliberately not a course on machine-learning methods. Built on Rayid Ghani and Kit Rodolfa’s Machine Learning in Practice at Carnegie Mellon, which itself comes out of the Data Science for Social Good fellowship.
Operations research for national infrastructure networks, taught through the way one state directs them. Twelve weeks organised around the claim that an objective function is a political statement about who is served first — the same argument the rest of this site makes, worked out at the length a course allows.
Systems thinking, complex adaptive systems and systems engineering put to societal problems — past the linear and reductionist habit, toward interdisciplinary and systemic policy.
The state must verify that people and firms comply with far more rules than it can ever inspect, so the real question is which inspections to run. A course on prioritising scarce enforcement capacity.