Sayak Khatua

sayak
Designation: Former Evaluation Specialist, 3ie
Sayak supported various research transparency initiatives undertaken by the evaluation office. He contributed to in-house research projects, including push button replications. He also managed data transparency activities for various grant programmes.

Blogs by author

Three ways you can start using remote sensing for measuring impact

Remote sensing has the power to transform and complement traditional approaches to impact evaluation. With the emergence of new technologies and the deployment of advanced sensors aboard satellites, there is an increase in the use of satellite imagery to measure impact in low- and middle-income countries across the world.

Assessing the impact of policy and institutional reforms in international development

For decades, development actors have recognized that good governance and solid country systems are essential for the effective delivery of well-designed, evidence-based interventions. A number of development organizations and initiatives have, therefore, emerged with explicit missions to strengthen the capacity and performance of publicly-mandated political and administrative institutional structures (for e.g., World Bank’s Global Governance practice and USAID Center for Democracy, Human Rights, and Governance)

Beyond Counterfactuals: Making transparent, reproducible and ethical evidence (TREE) central to rigorous evidence generation

Since 3ie was established, we have known we need to learn from evidence to make better decisions and that we need to open the ‘black box’ of project design and implementation to learn what works, what doesn’t, and why. But as this movement for more evidence generation matured, we have increasingly understood that research that generates evidence also requires accountability and transparency.

What’s the deal with Push Button Replications?

Reproduction and replication of research findings can improve the quality and reliability of research. The recent credibility crisis in the field of psychology, has sparked a huge discussion on the reliability of research findings in all fields and critics have expressed strong doubts over replicability of published research. It should be safe to assume that the original data and programming code from a published article would replicate the results presented.