معرفی
Professor Tiago Moreira is a distinguished academic at Durham University's Department of Sociology, where he conducts research at the intersection of sociology, aging studies, and healthcare systems. His work focuses on understanding the social dimensions of aging, technology implementation in healthcare, and the organization of medical knowledge across multiple disciplines including Science and Technology Studies (STS), sociology of medicine, and gerontology.
Professor Moreira's research interests span several interconnected domains:
- Aging, Technology and Society
- Knowledge organization in healthcare systems
- Priority setting in healthcare decision-making
- Social Studies of Medicine
- Measurement practices in aging research
His scholarly output demonstrates a consistent focus on how measurement practices, technological innovations, and social structures shape our understanding of aging and healthcare. Moreira examines how concepts like "frailty" and "biological age" become operationalized in medical and social contexts, revealing the complex interplay between scientific knowledge production and social policy. His work on engineered living materials and AI in aging contexts shows his ability to bridge technical and social domains.
Professor Moreira has published extensively in top journals including Science, Technology, & Human Values, Social Theory & Health, and Sociology of Health & Illness. His work often employs historical sociology methods to trace the development of concepts and practices in aging research and healthcare systems. Recent publications show increasing engagement with digital health technologies and their implications for aging populations.
Through his research, Professor Moreira has established himself as a leading voice in understanding how aging is socially constructed through measurement practices, technological interventions, and healthcare organization. His work consistently demonstrates how seemingly technical decisions about measurement and classification have profound social consequences for how aging populations are understood and managed.
