Juan P. Aparicio | Applied microeconomics

Applied economist building credible evidence for policy and markets.

I am a PhD economist and research scientist affiliated with the University of Ottawa and the Institute for Replication. My work combines political economy, causal inference, reproducibility, and applied data science to study conflict, information, demobilization, forecasting, and human-AI research workflows.

PNAS Published work in reproducibility and applied AI
I4R Replication games and projects with 2,000+ replicators
Data Predictive modeling, causal inference, and policy analysis
Editorial portrait-style image of Juan P. Aparicio
Current focus Applied political economy, reproducibility, and research/data workflows.
Core field Political economy of conflict
Methods Causal inference and prediction

Questions where institutions, information, and violence meet.

The work combines applied microeconomics with political economy, behavioral mechanisms, and reproducibility checks.

Conflict and demobilization

How armed actors respond to information, identity, and emotional cues.

Media and agenda setting

When public attention changes political incentives and strategic behavior.

Credible evidence

Replication, robustness, and research workflows that make results easier to trust.

Applied AI

Using AI as a measurable research partner rather than a black-box productivity claim.

Representative papers and projects on how media, identity, institutions, and reproducibility shape social-science claims.

A research profile built around evidence production.

My academic work centers on political economy and development, with a particular focus on conflict, media, crime, and institutions in Colombia. At the Institute for Replication, I have personally organized around 10 replication games, directly spearheaded papers with more than 700 replicators, and worked on projects involving more than 2,000 replicators.

I also work across applied data science and behavioral economics, including demand forecasting, market analytics, human-AI research evaluation, and policy-facing diagnostics for private-sector and institutional settings.

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