Inclusive Digital Futures

Anthropologists, data scientists, and engineers must learn to work together in the fuzzy front end of design. With that, we can begin crafting algorithms that support sustainable digital futures. 

How will we design for human-machine relations?
  • ESR 1

    Design anthropology for sustainable human-machine relations

    Ignacio Garnham

    Design anthropology for sustainable human-machine relations

    This project is about shaping algorithms on the basis of an integration of humanistic and computational approaches. In this project we explore how anthropology, data science and engineering should collaborate in the fuzzy front end of the design process to create algorithms that are conducive to the desired interaction between humans and machines. 
  • ESR 2

    Design and engineering methods for principled development of data, models and behaviours

    Mireia Yurrita Semperena

    Design and engineering methods for principled development of data, models and behaviours

    This project is about developing novel methods and tools for shaping, testing and evolving machine behaviour. In this project we investigate the adaptation of approaches drawn from data science and HCI to explore how behaviour, models and data can be developed concurrently in a principled manner. This will support the design of machine learning driven systems that work and grow alongside humans.  
  • ESR 3

    Machine learning methods for sustainable design futures

    Artem Zharinov

    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).