Civic & Institutional Systems
One important application domain of my work is civic and institutional intelligence: building data systems that help researchers, governments, universities, journalists, and policy teams reason from evidence.
This work combines economics, public data, geospatial analysis, automation, and AI-assisted knowledge infrastructure.
Socioeconomic and Public Data Systems
I build tools that turn public information into structured, searchable, and reusable data.
Examples include:
- poverty and income indicators from household surveys and census data
- electoral, price, demographic, and economic datasets
- geospatial dashboards and public-facing maps
- automated monitoring of public norms, news, and institutional signals
Deployment: Argentina’s Poverty Atlas
Interactive map with high-resolution indicators and a reproducible pipeline.
Institutional Knowledge Systems
I also build systems that help institutions remember, coordinate, and decide.
Examples include:
- governance trackers
- stakeholder and network mapping tools
- research knowledge bases
- AI-assisted summaries and policy briefs
- publication workflows for evidence-based narratives