Skip to main content

Civic Deployments

Applied Data Scientist & Economist building civic intelligence infrastructures — systems that turn raw data, norms, and signals into decision-ready evidence for researchers, governments, and policy teams.

📊 Socioeconomic Measurement and Research Infrastructure​

  1. I developed Survey-Census harmonization engines, which integrates national microdata (EPH, 2022 Census, Redatam) to produce consistent poverty and income indicators with transparent reproducibility.

  2. I built the Poverty Atlas, a live geospatial platform that translates survey and census data into public poverty maps used for social policy analysis.

  3. I was responsible for data engineering for research teams in economics and public policy, aligning datasets for development economics projects.

  4. I expanded the boundaries of micro-macro traceability in my doctoral research on how micro shocks aggregate into macro volatility using computational and nonlinear systems methods that reveal serious problems in established economics papers.

PhD thesis site thumbnail
Deployment: PhD Thesis Online
Docusaurus site with chapter structure, and quick navigation.

🌐 Public-data products for collective intelligence​

  1. Designed a hub of geo-tools and indicators — consolidated electoral, price, and demographic datasets into reproducible data feeds for journalists and civic analysts.
  2. Implemented an election & market intelligence stack — automated scraping and visualization of electoral and economic data to monitor sentiment and key indicators in near real time.
  3. Created a norms & parliamentary monitor — a daily crawler that classifies provincial and national resolutions and supports early alerts and impact assessments.

🏛️ Institutional & Governance Systems​

  1. Build strategic CRMs and network graphs — model alliances, actors and stakeholders to support coordinated outreach and planning of interactions.
  2. Developed a governance tracker — digitizes institutional and operational memory for academic commissions and government bodies.

🧠 Knowledge & Research Intelligence Frameworks​

  1. Convert research into web portals — AI-assisted tools to chunk academic papers and build semantic indexes (OpenAlex, embeddings), turning research material into searchable knowledge bases.
  2. Construct research knowledge graphs — semantic mappings of literature in economics and the social sciences to quickly contextualize new projects.

🗞️ Communication, Narrative & Decision Support​

  1. Develop frameworks for economic and political narratives — link data, actors and events into coherent, evidence-based stories that inform strategy and public communication.
  2. Automated news→knowledge pipeline — transforms daily news streams into structured policy briefings and thematic digests, with web-deployable outputs.
  3. Built the Economic Atlas communication stack — combines dashboards, generated text, and publication automation to produce evidence-based narratives for public dissemination.
Argentina Poverty Atlas thumbnail
Deployment: Argentina’s Poverty Atlas
Interactive map with high-resolution indicators and a reproducible pipeline.

⚖️ Cross-Disciplinary Capability​

Matías operates at the intersection of data engineering, economic research, and policy design.
He builds infrastructures that economists analyze, governments rely on, and research teams use to remember what they know.

Expertise Highlights

  • Data Engineering & Systems Design: ETL pipelines, geospatial analysis, and cloud deployment.
  • Economic Research & Quantitative Methods: survey harmonization, poverty measurement, volatility modeling.
  • Policy Analysis & Governance Frameworks: institutional tracking, stakeholder mapping, strategic planning.
  • Communication & Knowledge Management: narrative generation, research graphs, summarization workflows.
  • AI & Automation: LLMs, vector databases, AI agents, RAG architectures.

Core focus: bridging data infrastructure and public reasoning — enabling institutions to observe themselves through evidence.