Doctoral course - Personalization intervention and aging-related mental health

Location: TS127

Contact: Prof. Vankee Lin Vankee_lin@Stanford.edu (course instructor); Guoying Zhao, guoying.zhao@oulu.fi (hosting professor); Qianru Xu, qianru.xu@oulu.fi (course assistant)

Office hour: 2:30-3:30pm, May 20-23, 2024; 10-11:30pm, May 24, 2024.

Extent: 3 ECTS

Grading: attendance (50%); final group project proposal presentation (20%); final project proposal (30%).

Abstract

Personalized interventions refer to those in which the design features are selected based on the characteristics of the individual so that the final intervention is unique to a person or a group of people. Aging-related mental health problems (e.g., dementia, late-onset geriatric depression, etc.) are among the most prevalent and challenging health problems worldwide. The objective of the curriculum is to provide individuals from engineering or clinical backgrounds with a comprehensive and up-to-date overview of intervention research targeting aging-related mental health, guided by principles of personalization. At the end of the course, course attendees will be paired up, based on their technical or clinical knowledge and experience and application interest, to design personalized interventions and establish a comprehensive understanding of intervention research and aging-related mental health outcomes. Principles of personalization will be integrated into the curriculum. The curriculum will serve to grow advanced interdisciplinary scholars in the field of personalized interventions, particularly in the context of aging-related mental health.