The U.S. hosts over 1.1 million international students, yet there is no systematic, public-facing data infrastructure that quantifies their full lifecycle economic contribution — from patent output and startup formation to regional tax revenue and innovation cluster development. Current reporting stops at enrollment counts.
This data vacuum has real consequences: it leaves policymakers without the evidence base needed for informed talent policy, and it leaves public discourse vulnerable to anecdotal narratives that misrepresent the relationship between international talent and domestic labor markets.
The Three Gaps
Current data infrastructure suffers from three critical gaps. First, it is *descriptive, not predictive* — existing reports offer retrospective enrollment statistics with no forward-looking causal analysis. Second, *macro-level aggregation without micro-level granularity* — national labor statistics fail to capture skill-level mismatches between international graduates and regional industry demand. Third, an *absence of holistic measurement* — no existing instrument integrates cognitive aptitude, intrinsic motivation, intergenerational capital, value orientation, and subjective well-being into a unified assessment.
What Better Data Looks Like
Glenbrook Consulting's research agenda is specifically designed to address these gaps. Through GIS-based spatial econometrics, we map where international talent clusters and what economic multiplier effects those concentrations generate. Through longitudinal HTCS assessments, we produce the first multi-dimensional tracking data that connects pre-graduation profiles to 5-10 year career outcomes.
This is the data the United States needs to make evidence-based decisions about talent policy — and the data we are committed to producing as a public good.