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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

Call for proposal

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

Funding Scheme

MSCA-ITN-ETN - European Training Networks

Coordinator

TECHNISCHE UNIVERSITEIT DELFT
Address
Stevinweg 1
2628 CN Delft
Netherlands
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 796 859,64

Participants (7)

UMEA UNIVERSITET
Sweden
EU contribution
€ 845 948,88
Address
Universitetomradet
901 87 Umea
Activity type
Higher or Secondary Education Establishments
THE UNIVERSITY OF EDINBURGH
United Kingdom
EU contribution
€ 909 517,68
Address
Old College, South Bridge
EH8 9YL Edinburgh
Activity type
Higher or Secondary Education Establishments
KOBENHAVNS UNIVERSITET
Denmark
EU contribution
€ 595 044
Address
Norregade 10
1165 Kobenhavn
Activity type
Higher or Secondary Education Establishments
AARHUS UNIVERSITET
Denmark
EU contribution
€ 297 522
Address
Nordre Ringgade 1
8000 Aarhus C
Activity type
Higher or Secondary Education Establishments
AKCIJU SABIEDRIBA TRANSPORTA UN SAKARU INSTITUTS
Latvia
EU contribution
€ 230 068,44
Address
Lomonosova Iela 1
1019 Riga
Activity type
Higher or Secondary Education Establishments
STICHTING HOGESCHOOL VAN AMSTERDAM
Netherlands
EU contribution
€ 265 619,88
Address
Wibautstraat 3 B College Van Bestuur
1091 GH Amsterdam
Activity type
Higher or Secondary Education Establishments
PHILIPS ELECTRONICS NEDERLAND BV
Netherlands
EU contribution
€ 265 619,88
Address
High Tech Campus 52
5656 AG Eindhoven
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)