Summer 2022 Fellows: Christian Martin, ’23,  Isabelle Anzabi, ’24, and Lily Lyu, ’24

Office Description:

The World Bank’s Development Impact Evaluation (DIME) group generates high-quality and operationally relevant data and research to transform development policy, help reduce extreme poverty, and secure shared prosperity. It develops customized data and evidence ecosystems to produce actionable information and recommend specific policy pathways to maximize impact. The work is based on a co-production model aimed at transferring capacity and know-how to partners to make mid-course corrections and scale up successful policy instruments to achieve policy outcomes.

DIME’s work focuses on:
• Evaluating programs at scale to answer policy-relevant questions;
• Developing innovative data systems and data analytics tools for real-time decisions;
• Using causal inference analysis to identify mechanisms to improve results;
• Building capacity to strengthen country institutions for evidence-based policymaking.

With a portfolio of more than 170 impact evaluations, DIME operates across all sectors in about 50 countries spanning the globe. The IEs test a variety of interventions and mechanisms to understand why policy succeeds or fails and how to improve policy design and implementation to obtain better results. More information can be found at

Potential Projects:

Fellows will support ongoing impact evaluations of World Food Programme operations under one of several themes – cash and gender, climate and resilience, or school-based programming. Projects will be standalone data cleaning and analysis supporting impact evaluation findings. Specific tasks to be determined closer to the fellowship, but previous projects have included using publicly available satellite imagery data to measure drought and environmental outcomes in the Sahel, and a literature review of impact evaluation evidence on humanitarian programs.

Desired Skills:

  • Data analysis in R, Stata, or Python
  • Ability to work independently and take initiative with minimal oversight
  • Clear communication

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