The Project Consortium
The CO-ADAPT objectives can only be reached by a collaboration connecting top-level research groups and commercial players at the international level (Finland, Belgiu and Italy). The number of partners is concentrated in Italy and Finland as the project has trials in these two European countries providing two different country profiles regarding the digitalisation environments (Finland 2nd in ranking and Italy 26th according to the digital economy and society index 114).
The project consortium is very well balanced in terms of academic and industrial participation as well as of coverage of different links in the ICT and occupational health’s value chain. In particular, the consortium includes 4 universities, a specialist organisation providing occupational health services and research (FIOH), a large scale European employer and multinational (ELUX), and 4 innovative SMEs (EHEALTH, BNP,IDEGO, iSPRINT). The value chain is represented from the research providers, tool developers, and service providers to the end-users.
The consortium is formed of research institutions and organisations carefully selected on the basis of the required skills and resources necessary for the successful execution of the project. Each partner complements the other with some additional resources, know-how and skills.
Research Provider
University of Helsinki
Project coordinator. Develops smart adaptive systems and contributes to the knowledge on wellbeing
Research / technology provider
University of Trento
Provides the Artificial Intelligence conversational agent technology (design, training and evaluation) for the CO-ADAPT application
Technology provider/testing
BNP
Designs and builds the adaptive assembly with collaborative robotics and will lead the technical testing.
End-user
Electrolux
Makes available to CO-ADAPT important knowledge on programs for ageing workers and wellbeing in the workplace. ELUX contribute with an important view as a large European employer.
Domain expert and research
Finnish Institute of Occupational Health
Domain expert on occupational health and ageing at work, and organization of large scale pilot
Research provider/ Ethics
University of Padova
Provides cognitive load detection techniques, usability for the adaptive assembly with collaborative robotics
Research provider
AALTO
Provides probabilistic machine learning techniques in WP5 and WP3. Developing the machine learning behind the Proactive Digital Entity Recommender.
Technology Provider
Innovation Sprint Sprl
Performs design and architecture of privacy-preserving platform/dissemination and exploitation leader
Technology and Service provider
Etsimo
Provides solutions for knowledge base using an autonomous diagnostic service for eHealth based on its self-diagnostic service