Design of Assistive Technologies for the Ageing Population: A Transdisciplinary Training
This summer school is organized by the Quality of Life (QoL) technologies Lab. It is part of the AGE-INT initiative, which aims to build Switzerland's international expertise around innovative solutions for an ageing society.
Background: The population is ageing at a much faster rate than in the past, resulting in a significant increase in the number of people requiring assistance to live longer in good health [1, 2]. Over the past decades, researchers investigated the use of assistive technologies to maintain the ageing population’s good health and delay care dependency [3, 4]. The summer school will address a number of important questions at the heart of technology and the ageing population today. Participants will be able to learn about different types of assistive technologies, their application areas, and the design considerations related to such technologies, but also the ethical considerations to be taken into account while designing and implementing such systems. The course will include lectures, case studies, mock debates, group work and more. Through a project-based approach and a human-centred design process, the course will emphasize the importance of interdisciplinarity, collaboration and end-user participation when designing new objects, products, services or experiences for ageing population.
 Ageing and health. https://www.who.int/news-room/fact-sheets/detail/ageing-and-health
 Assistive technology. https://www.who.int/health-topics/assistive-technology
 Pramod, D. (2022). Assistive Technology for Elderly People: State of the Art Review and Future Research Agenda, Science & Technology Libraries, DOI: 10.1080/0194262X.2021.2024481
 Saborowski, M., and Kollak, I. (2015). “‘How do you care for technology?’ – Care professionals’ experiences with assistive technology in care of the elderly,” Technological Forecasting and Social Change, vol. 93, pp. 133–140, Apr. 2015, doi: 10.1016/j.techfore.2014.05.006.
Objectives: The main objectives of the Summer School are for students to:
- acquire a strong understanding of the constraints but also the opportunities related to active and passive data sensing for the ageing population;
- become familiar and gain insights into the functioning and implications of designing, implementing and evaluating assistive technologies (sensing and actuating devices and services) for an ageing population;
- understand ethical considerations to be addressed while working with assistive technology for an ageing population and the importance of data governance.
Target audience: advanced graduates, PhD students, post-docs, junior researchers and practitioners, care professionals, providers (e.g., start-up owners), and social scientists working in the domain of the ageing population. We seek to cultivate a transdisciplinary approach, the course is, therefore, open to a broad range of disciplines and stakeholders (i.e. social sciences, health/life/medical sciences, computer science/engineering, law, …) with an interest in digital technologies and ageing.
Structure: Each day of the week will be organized around a specific theme and follow the pattern of 1) specific use case by thematic 2) challenges and lessons learnt 3) best practices to design, implement and evaluate assistive technologies for the ageing population following ethical regulations and considerations.
Teaching: The multidisciplinary Summer School will be taught in English by a variety of academic experts in their respective fields. The summer school will use a mix of use-case and project-based learning. The morning sessions will be reserved for presentations from our speakers while the afternoon sessions will focus on hands-on and practical implementation of self selected group project based on the morning lectures.
*Only CV and motivation letter are needed for the application.
Tuition fee: 100 CHF (Free for AGE-INT members)
Katarzyna Wac, UNIGE
Prof Katarzyna Wac, PhD, is a Full Professor of Computer Science at the University of Geneva, Switzerland and an Invited Professor of Health Informatics at the Department of Computer Science (DIKU), University of Copenhagen, Denmark, and was affiliated with Stanford University and Medical Centre in 2013-2020. She is leading the Quality of Life Technologies lab responsibly unleashing the power of data to benefit the quality of life of all individuals. More specifically, the lab’s research interests revolve around the fundamental and algorithmic problems as well as human-centric challenges of the systems enabling an assessment and improvement of human behavior, well-being, health, disease self-management, and quality of life as it unfolds naturally over time and in context.
Mirana Randriambelonoro, UNIGE
Mirana Randriambelonoro is a scientific collaborator at the University of Geneva. Originally from Madagascar, Mirana holds a Bachelor’s degree in Telecommunications (ESPA, Madagascar, 2010), a Master’s degree in Communication Systems (EPFL, Switzerland, 2014) and a PhD in Information Systems (UNIGE, Switzerland, 2020). She is part of the Quality of Life (QoL) technologies Lab, the HI5Lab group (Health Informatics for Innovation, Integration, Implementation and Impact) as well as the Geneva Hub for Global Digital Health (gdhub). Her domain of interest focuses on technology for behaviour change, recommender systems, digital health, and digital transformation. She was part of several national and European research projects involving patients with chronic conditions and the ageing population.
Alexandre De Masi, UNIGE
Mr. Alexandre De Masi is a PhD student and member of the Quality of Life Lab at the Institute of Service Science of the University of Geneva. He holds a BSc in Telecommunication & Network Engineering from University Of Lorraine (Nancy). He was awarded a Erasmus Mundus scholarship by the European Union in 2013 to complete his MSc in “Pervasive Computing and COMmunications for sustainable development”. His research focus on smartphone data collection, mHealth, Quality of Experience, Assistive Technology and affective computing.
- Katarzyna Wac, UNIGE
- Marcello Ienca, EPFL
- Andrea Martani , UNIBAS
- Leonardo Angelini, HEFR
- Philipp Buluschek, Domo Safety
- Christine Clavien, UNIGE
- Carina Dantas, Shine2Europe
- Nicolas Zhan, Swiss Digital Initiave
- MariaGrazia Di Marco & Sandrine Charvat, CCER
- Mirana Randriambelonoro, UNIGE
- Alexandre De Masi, UNIGE