Machine learning methods for sustainable design futures

This project is about developing machine learning methods suitable for design tasks in which human purpose and situated values are driving forces, instead of the typical focus on efficiency and optimisation. In this project we investigate what machine learning metrics are most apt for guiding these tasks and for navigating the associated design trade-offs (e.g., between accuracy and fairness).