Research
Brownseal conducts deep research on population estimation, media verification, regulatory intelligence, and AI governance. Our work emphasizes verifiability, deployment realism, and consequence-aware system design.
Active Research Projects
Population Intelligence
Project GiantEye: Population Estimation via Satellite Imagery & ML
Machine-learning–driven population estimation for regions with outdated census data. Uses satellite imagery, nighttime lights, and administrative records to produce explainable estimates with uncertainty quantification.
Governance & Compliance
Explainable AI for Regulatory Compliance Mapping
Automated identification of applicable regulatory obligations across jurisdictions and sectors. Focuses on transparency and auditability in AI-assisted compliance reasoning.
AI Safety
Security & Misuse Mitigation in Applied ML Systems
Governance frameworks for consequence-aware AI deployment. Includes risk assessment methodologies, safeguard design, and post-deployment monitoring for high-stakes systems.
Development Economics
Spatial Population Modeling in Data-Scarce Environments
Methods for estimating demographic and economic indicators where official statistics are unavailable or outdated. Covers methodology validation and deployment considerations.
Policy & Governance
Data Governance for Intelligence Platforms in Emerging Markets
Frameworks for responsible data collection, storage, and use in security and intelligence contexts. Addresses sovereignty, privacy, and institutional accountability.
Publications & Technical Reports
Population Estimation via Nighttime Lights: Validation and Uncertainty in Sub-Saharan Africa
Technical ReportBrownseal Research Team
Deepfake Detection in Low-Resource Settings: Signal Processing Approaches
Technical ReportBrownseal Research Team
Regulatory Compliance as a Verification Problem: Reasoning Over Legal Texts
Position PaperBrownseal Research Team
Research Collaboration
Brownseal collaborates with academic institutions, research organizations, and government agencies on population modeling, media verification, and governance challenges. We welcome inquiries from researchers and institutions interested in joint work.
Contact Research Team