MUSAE: a human-centred factory for a future technological sustainable development driven by arts

Digital, Industry & SpaceHORIZON-RIAID: 101070421
EC Contribution
€30,885
Consortium Size
9 orgs
Start Year
2022
Summary

The European economy's Digital Transformation (DT) is crucial for preserving and boosting international competitive advantages (Digital European Programme).A green and sustainable transformation is a vital step for protecting the health and wellbeing of citizens from environment-related risks and impacts where digital techs are considered a critical enabler for attaining the European Sustainable Development Goals (SDGs). It is urgent to define innovative R&D models to systematically integrate artistic collaboration in Digital Innovation Hubs to provide companies with new forms of transdisciplinary collaboration aiming to explore future scenarios for technologies application using artistic practice to anticipate innovative products and services to meet the SDGs for innovation towards a sustainable and healthy planet.The project aims to set up the MUSAE Factory Model based on the Design Future Art-driven (DFA) method to be included in the (E)DIHs to strategically guide digital technology innovation and address future challenges in the food domain to improve people and planet wellbeing. MUSAE will build on a DFA method that merges the Design Futures method by POLIMI with Art Thinking approach by STARTS partner Gluon and UB - School of Art. The DFA will help artists envision future scenarios (5-10 years), critically reflect on them, and collaborate with technology providers to develop new technological solutions that meet the future humanity needs with a human-centred approach, opening up new markets and activities. Four technological partners will empower the approach by bringing relevant expertise in Artificial Intelligence-UB, wearables-ABACUS, robotics-PAL, human-machine-interaction-UoM. To validate replicability, the MUSAE project will set up and activate one factory within the DIH partner (MADE) and create the Factory Model Pack that will allow other DIHs to adopt it. The project focusing on Food as Medicine includes an expert in food and wellbeing themes (UCD)

Consortium (9)

Project Results (55)

Source: CORDIS, the EU research results database.

Publications (18)
<scp>MUSAE</scp>: Fusion of art and technology to address challenges in food and health
Nutrition Bulletin· 2025DOI
Aoife O'Gorman, McMahon Lauryn, Tatiana Efremenko, Marita Canina, Petia Ivanova Redava, Luis Eloy Puig, Angelo Cangelosi, Francesco Ferro, Francesco Dellino, Ramona Van Gansbeke, Maria Bulgheroni, Kos
CEDL+: Exploiting evidential deep learning for continual out-of-distribution detection
Expert Systems with Applications· 2025DOI
Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer
FoodMem: Near real-time and precise food video segmentation
Pattern Recognition Letters· 2025DOI
Ahmad AlMughrabi, Adrián Galán, Ricardo Marques, Petia Radeva
Multi-task visual food recognition by integrating an ontology supported with LLM
Journal of Visual Communication and Image Representation· 2025DOI
Daniel Ponte, Eduardo Aguilar, Mireia Ribera, Petia Radeva
Bayesian DivideMix++ for Enhanced Learning with Noisy Labels
Neural Networks· 2024DOI
Bhalaji Nagarajan, Ricardo Marques, Eduardo Aguilar, Petia Radeva
Beyond Boundaries: Art-Tech Collaboration Driving Future-Oriented Innovation
AHFE International, Creativity, Innovation and Entrepreneurship· 2024DOI
Tatiana Efremenko, Marita Canina, Eva Monestier, Maria Ida Fiore
Decoding class dynamics in learning with noisy labels
Pattern Recognition Letters· 2024DOI
Albert Tatjer, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva
Ontology-Driven Deep Learning Model for Multitask Visual Food Analysis
Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications· 2024DOI
Daniel Ponte, Eduardo Aguilar, Mireia Ribera, Petia Radeva
Reliability of Single-Level Equality-Constrained Inverse Optimal Control
2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids)· 2024DOI
Becanovic, Filip; Jovanović, Kosta; Bonnet, Vincent
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction
ICCV proceedings· 2023
Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
Behavioural patterns discovery for lifestyle analysis from egocentric photo-streams
Pervasive and Mobile Computing· 2023DOI
Martín Menchón, Estefania Talavera, José Massa, Petia Radeva
CCLM: Class-Conditional Label Noise Modelling
Lecture Notes in Computer Science ISBN: 9783031366154· 2023DOI
Albert Tatjer; Bhalaji Nagarajan; Ricardo Marques; Petia Radeva
CCLM: Class-Conditional Label Noise Modelling
Iberian Conference on Pattern Recognition and Image Analysis· 2023
Tatjer, A., Nagarajan,B.,Marques,R.,Radeva, P.
Continual Evidential Deep Learning for Out-of-Distribution Detection
ICCVW 2023· 2023
E. Aguilar, B. Raducanu, P. Radeva, J. van de Weijer
Efficient Deep Learning Ensemble for Skin Lesion Classification
VISIGRAPP· 2023
David Dueñas Gaviria, Md Mostafa Kamal Saker, Petia Radeva
Good Fences Make Good Neighbours
Proceedings of the IEEE/CVF International Conference on Computer Vision· 2023
Imanol G Estepa ~Imanol_G_Estepa1 , Jesús M Rodríguez-de-Vera, Bhalaji Nagarajan, Petia Radeva
Time-Aware Circulant Matrices for Question-Based Temporal Localization
Image Analysis and Processing – ICIAP 2023· 2023
Bruni,P, Falcon,A.,Radeva, P
Time-Aware Circulant Matrices for Question-Based Temporal Localization
Lecture Notes in Computer Science ISBN: 9783031431524· 2023DOI
Pierfrancesco Bruni; Alex Falcon; Petia Radeva
Deliverables (37)
Documents, reports
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Documents, reports
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes
Demonstrators, pilots, prototypes