Report summary

For University of Washington School of Computer Science and Engineering in 2015-2026, the graph shows 120 visible PIs and 186 internal PI collaborations. The dominant subject mix is Computer Science as the leading field (38% of slots across 83 PIs; 83 labels), Artificial Intelligence as the leading subfield (12% of slots across 35 PIs; 35 labels), and Topic Modeling as the leading topic (3% of slots across 11 PIs; 11 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The top weighted PIs are William Stafford Noble (57.7 weighted works; Advanced Proteomics Techniques and Applications, Mass Spectrometry Techniques and Applications). The most visible ties are Tadayoshi Kohno and Franziska Roesner (41 shared works, weight 20.8). The standout breakdown groups are group 1 with 9 PIs, 8 internal connections, weight 30.1, around Information Systems, Computer Networks and Communications, Molecular Biology, led by Dan Suciu, Luís Ceze, Paul Beame.