A Collaborative Research Initiative
To standardize and enrich data on solitude and gerotranscendence
About HealthyPhases
The HealthyPhases Project promotes healthy aging through the semantic enrichment of solitude research (PHASES), creating standardized frameworks for understanding the relationship between solitude and gerotranscendence.
Our multidisciplinary team brings together expertise in ontology development, psychology, computer science, and gerontology to address challenges of terminological ambiguity and data interoperability in solitude and aging research.
Learn MoreSolitude Research
Clarifying the distinctions between solitude, loneliness, and social isolation to better understand their effects on aging and well-being.
Gerotranscendence
Exploring the developmental shift in perspective that can occur in later life, characterized by changes in relationship to self, others, and the universe.
Semantic Enrichment
Developing standardized ontologies and knowledge graphs to enhance research data and facilitate cross-domain integration and analysis.
Research Areas
The HealthyPhases Project bridges isolated research areas through semantic enrichment and standardization, transforming our understanding of solitude's role in healthy aging.
Solitude & Loneliness
Investigating the distinct experiences of solitude, loneliness, and social isolation and their impacts on health and well-being.
Learn moreGerotranscendence
Exploring the developmental shift in perspective that can occur in later life, characterized by changes in values and cosmic awareness.
Learn moreOntology Development
Creating formal representations of knowledge to standardize terminology and relationships in solitude and aging research.
Learn moreCommon Data Model
Designing standardized frameworks for collecting, representing, and sharing data on solitude and gerotranscendence.
Learn moreSemantic Enrichment
Enhancing research data with structured, machine-interpretable annotations to enable integration and discovery.
Learn moreKnowledge Graphs
Building semantic networks that represent entities and relationships to support querying, inference, and discovery.
Learn more