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For Brown University Department of Computer Science in 2024-2026, the graph shows 8 visible PIs and 0 internal PI collaborations. The main research signal is Computer Science as the leading field (31% of slots across 5 PIs; 5 labels), Artificial Intelligence as the leading subfield (16% of slots across 3 PIs; 3 labels), and Ethics and Social Impacts of AI as the leading topic (9% of slots across 2 PIs; 2 labels). That is of concern, because the roster has names but no visible internal collaboration structure. The most prominent PIs by weighted works are Serdar Kadıoğlu (6 weighted works; Scientific Computing and Data Management, Big Data and Business Intelligence). No internal PI-to-PI collaboration edge is visible in this period. No multi-PI collaboration group is visible in this period, a concerning sign if the department expects a connected internal network.

Brown Computer Science Faculty Co-authorship Network - 8 PIs, 0 collaborations | ProfessorNet