Research

Funded methodological and empirical education projects in longitudinal design, causal evaluation, education data science, AI, cost-effectiveness, and implementation evidence.

The LCDS Lab organizes funded work through two connected research pathways. Choose a pathway to browse external and internal projects, then open individual project pages for funding details, related outputs, and connected lab work.

Two Research Tracks

Methods and tools

Methodological Research

This track develops statistical methods, design guidance, software, and training resources for planning and analyzing rigorous education studies.

3 external grants 5 internal grants
  • Longitudinal design, power, and optimal planning
  • Causal inference, mediation, and heterogeneous effects
  • Cost-effectiveness and software for study planning

View methodological projects

Evidence in practice

Empirical and Applied Evaluation

This track partners with education researchers, programs, funders, and data-system teams to study interventions, digital learning systems, implementation, cost, and scale.

5 external grants 3 internal grants
  • Intervention evaluation and implementation evidence
  • Digital learning, AI-enabled systems, and platform data
  • Applied partnerships for education decision-making

View applied evaluation projects