Cibao Analytics
Predictive intelligence and empirical research to transform regional data into action frameworks for strategic decision-making in Ibero-America.
Three lines of work
We combine methodological rigor with a regional perspective to produce actionable intelligence.
Deep research
Longitudinal studies on ecosystem resilience, governance, agrifood systems, and poverty dynamics in Ibero-America.
Predictive models
Quantitative forecasts of key indicators — monetary poverty, food security, energy autonomy — with a 2025–2030 horizon.
Public policy frameworks
Evidence-based recommendations aimed at decision-makers in governments, multilateral organizations, and the regional private sector.
Reports and analysis
Our reports combine empirical data with rigorous interpretive frameworks.
Predictive Intelligence Model: Monetary Poverty Dynamics in the Dominican Republic (2025–2030)
Predictive intelligence model applied to monetary poverty — Cibao Analytics’ first analytical instrument.
View publications →Ecosystem resilience in Central America: a comparative index
Comparative analysis of ecosystem adaptation capacities in six countries of the Central American isthmus.
Notify me →Food autonomy in the Caribbean: vulnerabilities and frameworks for action
Assessment of external food dependence and public policy recommendations for the Spanish-speaking Caribbean.
Notify me →Our methodology
Each analysis follows a structured process that ensures rigor, transparency, and relevance for action.
Primary and secondary data collection
We combine official statistical sources, field surveys, and satellite data with specialized academic literature.
Quantitative modeling and qualitative analysis
We apply econometric and time series models together with political-institutional context analysis.
Peer review and validation
Each report undergoes internal review by the board of directors and, when applicable, by external experts.
Strategic publication and diffusion
We publish accessible executive summaries alongside the full report, and distribute them via the newsletter and institutional social networks.