We study how data can be understood, felt, and expressed through
narrative, affective, and embodied approaches.
Our perspective on lived data has been shaped by years of
collaboration with neurodivergent individuals and people with
intellectual and developmental disabilities (IDD). These
partnerships
challenged conventional assumptions about how data should be
represented, interpreted, and experienced, inspiring our
ongoing exploration of narrative, affective, and embodied
approaches to data.
Theme 01
Narrative Data
Making data more accessible and expressive through
storytelling.
How can storytelling make data more accessible and meaningful?
How can narrative support community empowerment and social justice?
How can stories help people see themselves and their experiences in data?
Theme 02
Affective Data
Supporting affective and reflective engagement with data.
How can emotion support the interpretation and understanding of data?
How can emotions be represented and understood through data?
How can data become a medium for emotional expression and self-reflection?
Theme 03
Embodied Data
Designing immersive and embodied data experiences.
How can people experience data rather than simply view it?
How does embodiment shape the interpretation of data?
How can immersive experiences help people connect data to lived experience?