Report summary

The 2021-2023 picture for University of Southern California Department of Computer Science is a 26-PI network with 7 internal PI collaborations. The main research signal is Computer Science as the leading field (42% of slots across 19 PIs; 19 labels), Artificial Intelligence as the leading subfield (25% of slots across 13 PIs; 13 labels), and Anomaly Detection Techniques and Applications as the leading topic (4% of slots across 3 PIs; 3 labels). That is a thin collaboration pattern, useful for spotting individual pairs but less persuasive as a broad departmental network. The leading PI names are Emilio Ferrara (17.6 weighted works; Ethics and Social Impacts of AI, Misinformation and Its Impacts); Michael Zyda (15.6 weighted works; Educational Games and Gamification, Virtual Reality Applications and Impacts). The clearest collaboration lines are Kristina Lerman and Emilio Ferrara (8 shared works, weight 4.4). The leading breakdown groups are group 1 with 4 PIs, 3 internal connections, weight 6, around Sociology and Political Science, Safety Research, Developmental and Educational Psychology, led by Emilio Ferrara, Kristina Lerman, José Luis Ambite.