Fundamentals of Design Competence for Our Digital Future

Objective

A fundamentally new kind of design competence is needed to anticipate the digital transformation of society and create the conditions for responsible and sustainable futures. For this, D-CoDE will train a cohort of 15 PhD students in design, design anthropology, media studies, science and technology studies and data science, and equip them with the holistic understanding needed for the human-centric design of product service systems powered by Big Data, Machine Learning and Artificial Intelligence.

New foundations for design will require the interdisciplinary integration of five key research challenges identified in both engineering and the social sciences: (1) anthropological study and principled engineering of algorithms as foundation for shaping digital futures; (2) design of personally meaningful and socially appropriate forms of interaction with and across decentralised systems; (3) inclusive approaches to value creation in designing data-driven products, services and business models; (4) principles and mechanisms for public deliberation and governance of data flows across systems; (5) future design practices upholding anticipatory, deliberative and responsive innovation approaches.

To foster this holistic understanding – and the integration of knowledge across disciplines it requires – D-CoDE introduces a post-disciplinary mode of working called ‘prototeams’: teams of PhD students working in real-world contexts to develop and prototype future professional design roles and practices, including the scientific knowledge needed to support them. As these research challenges require both deep disciplinary expertise and knowledge that cuts across sectors, D-CoDE brings together an exceptional team of internationally leading researchers in the required subject areas, and non-academic partners that bring societal, economic and political practice to the project and provide multiple forums for the dissemination of knowledge, results and best practices.

Field of science

• /natural sciences/computer and information sciences/artificial intelligence
• /natural sciences/computer and information sciences/data science/big data

Programme(s)

• H2020-EU.1.3.1. - Fostering new skills by means of excellent initial training of researchers

Topic(s)

• MSCA-ITN-2020 - Innovative Training Networks

Call for proposal

H2020-MSCA-ITN-2020
See other projects for this call

Funding Scheme

Coordinator

Participants (7)