NeurIPS '24 • ICML '24 • ICLR '25 Proceedings Grounded

AI Talent Origin Flow & Lab Composition Analyzer

Simulate US AI research lab workforce dependencies, visa constraint shocks, and top-tier conference paper throughput.

Lab Model Parameters

Effective Staff
50
Baseline target met
Foreign Talent %
76.0%
Baseline: 76.0%
Origin HHI Index
2,282
Moderate Concentration
Est. Top-3 Papers
110.0
NeurIPS / ICML / ICLR
Proceedings Baseline: China (38%), US (24%), India (10%), Europe (9%), South Korea (5%), Canada (4%), Other (10%).
Global Undergrad Origin → US AI Lab Inflow
Direct Proportional Flow
Simulated Staffing Allocation & Conference Attribution
Origin Region Baseline Share Simulated Staff Simulated Share Est. NeurIPS/ICML/ICLR Papers

Interactive AI Talent Origin & Staffing Model Explained

Read the explanation

In the baseline model calibrated to top conference proceedings, foreign talent comprises 76 percent of researchers in American labs, led by China at 38 percent. When you drag the international visa multiplier down to 50 percent, the simulator scales all international talent weights directly against the target lab headcount. Consequently, annual publication throughput drops from 110 papers to just 68, and the origin concentration index rebalances dynamically.

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