We will start our series of interviews with the individual partners with the coordinator the University of Helsinky. We will present in more detail the people responsible for this project from all partners

 

The University of Helsinki coordinates CO-ADAPT to empower ageing citizens by improving their wellbeing and ability to use their experience and skills at work. In particular, the University of Helsinki is interested in investigating how digitalization can provide means to change wellbeing and health management in particular in ageing from reactive to preventive. Moreover, an important focus is to develop intelligent digital task assistants and strengthen the worker use of digital tools

The Department of Computer Science is a leading teaching and research unit in its area in Finland. Here Linux was developed by Linus Torvalds a former student at the department. The research groups address significant research challenges in their areas of expertise, such as data analytics, AI, and security and privacy. The Department of Computer Science is a leading teaching and research unit in its area in Finland. The research groups address significant research challenges in their areas of expertise, such as data analytics, AI, and security and privacy.

 

 

“As a coordinator of CO-ADAPT my aim is to combine excellence in research of occupational health on workability, ageing and equality with excellence in development of AI systems for conversational agents to support behaviour change, collaborative robots and personalised information recommendations adaptive to ageing conditions” Giulio Jacucci, Project Coordinator, University of Helsinki

 

“Our final system aims to support aging workers by integrating multiple channels of support. My interest in the project is to guide the system design by collecting and analyzing field data from occupational healthcare staff and workers.” Baris Serim, PhD candidate, University of Helsinki

 

 

“The use of information recommender system holds great potential for improving the quality of life for aging worker. We design an information access systems that help the aging worker to maintain their independence and meet their social, health, and other needs in everyday routine. The systems automate information seeking without requiring any part of the user minimizing the need for typing text on the mobile device. “Vuong Thung, PhD candidate, University of Helsinki