Lev Pokrovskiy

Data-Driven Social Systems & Evidence-Based Policy

CoHMI Research Group

Researcher working on data-driven analysis of demographic and regional processes, integration of official statistics with passive digital traces, econometric causal inference and adaptive public-sector decision support.

Research Focus

Data-Driven Regional Systems

Integration of official statistics, digital traces and adaptive management models for regional demographic processes.

Digital Traces

Use of search trends and other passive digital traces in socio-economic analysis.

Causal Inference

Difference-in-Differences, Synthetic Control Method, regression discontinuity and related quasi-experimental approaches.

Evidence-Based Policy

Analytical frameworks for reducing decision lags and improving evidence-based regional and municipal governance.

Current Research Outputs

Adaptive management model for regional demographic processesIntegration of statistical and digital data; manuscript in preparation.

Evolution of methodological paradigms in demographyFrom descriptive statistics to evidence-based analysis and Big Data.

Three-loop micro-demographic monitoring architectureConcept under development to reduce analytical lag in public-program evaluation.

Applied Perspective

His research is informed by direct experience in municipal and regional governance, bringing a practical implementation perspective to evidence-based policy, data integration and adaptive decision-support systems.