Report summary

The 2024-2026 picture for Columbia University Department of Biomedical Informatics is a 10-PI network with 3 internal PI collaborations. The research center of gravity is Medicine as the leading field (39% of slots across 7 PIs; 7 labels), Artificial Intelligence as the leading subfield (16% of slots across 4 PIs; 4 labels), and Biomedical Text Mining and Ontologies as the leading topic (7% of slots across 2 PIs; 2 labels). That is a thin collaboration pattern, useful for spotting individual pairs but less persuasive as a broad departmental network. The top weighted PIs are Suzanne Bakken (15.5 weighted works; Artificial Intelligence in Healthcare and Education, Electronic Health Records Systems); Chunhua Weng (13.7 weighted works; Biomedical Text Mining and Ontologies, Topic Modeling). The strongest pairings are Chunhua Weng and Patrick Ryan (1 shared works, weight 0.6). The standout breakdown groups are group 1 with 4 PIs, 3 internal connections, weight 0.8, around Artificial Intelligence, Public Health, Environmental and Occupational Health, Molecular Biology, led by Suzanne Bakken, Chunhua Weng, Nicholas P. Tatonetti.