intersynth Lab
Projects

Ongoing work.

Selected research projects from the lab and its collaborators.

active ontology · bias · transparency

Synthetic Data — Facts, Representations, and Transparency

A five-year WASP-HS research environment examining how AI-generated synthetic data is produced, deployed, and contested — and what it means for the people and institutions that come to rely on it.

completed bias · hallucinations

Social Complexity and Fairness in Synthetic Medical Data

A WASP-HS NetX project examining how machine learning-generated synthetic medical datasets distort representation. Using intersectional analysis, the project developed fairness metrics for synthetic medical data, exploring how intersectionality can contribute to better, more equitable data.