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We take advantage of the scope and scale of the Development Impact Group research to develop and test econometric and technical solutions and develop public tools. 

• One-stop shop for impact evaluation research solutions. The Development Impact Wiki is a resource focused on practical implementation guidelines. It is open to the public, easily searchable, and suitable for users of varying levels of expertise.
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  Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the Development Impact Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically.
• Stata Tools:
  • ietoolkit : Stata package for impact evaluation analysis (, , )
  • iefieldkit: Stata package for primary data processing (, , )
  • stata linter: a tool to help users write better Stata code by identifying problematic coding practices (, , )
• Data Visualization Libraries:
  • Reproducible Stata code for graphs and maps in an easy-to-browse format
  • Reproducible R code for graphs and maps in an easy-to-browse format

• Manage Successful Field Research
  This week-long course covers all aspects of implementing development research in the field. Researchers and implementing partners learn best practices for field research, critical issues in research implementation, recurring challenges, and cutting-edge technologies.
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• Reproducible Research Fundamentals Course
  This week-long course teaches best practices for reproducible analytics, from data processing to publication. Participants learn to implement transparent and reproducible workflows, to effectively code in a team environment, and to keep personal data secure throughout the lifecycle of an analytical product.
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• This course is based on Development Research in Practice: the DIME Analytics Data Handbook. It teaches all users of development data how to handle data effectively, efficiently, and ethically. The course covers the data workflow at each stage of an empirical research project, from design to analysis to publication.
  Course Content
• Development Impact group Continuing Education Series
  Development Impact group Analytics offers regular trainings on technical topics for World Bank Staff. Recent topics include: Data Processing in Python Using Pandas, Introduction to APIs, Writing reusable code in Stata using programs and adofiles, Spatial Data in Stata, Optimizing Survey Length, GitHub Pull Requests, and Introduction to Python for Stata users. All Continuing Education materials are .
• This course teaches the R programming language and software environment, focusing on common tasks and analysis in development research. 
• This course lays the foundations for conducting data science in Python, covering its basic syntax, data types, and control flow; and building upon them to introduce essential libraries for data processing and exploration.

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  The Reproducible Research Repository is a one-stop shop for reproducibility packages associated with research authored by World Bank staff and consultants. To enhance the credibility, transparency, and impact of World Bank research, this platform publishes reproducibility packages that fully document the data and code on which research findings are based.
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  Development Impact Group Analytics conducts computational reproducibility verification for World Bank research. The checks verify that a third-party, using the same materials and procedures used by the research team, can exactly reproduce the tables and figures in the research paper. Verified packages are published to the Reproducible Research Repository. 
• Measuring Development Conference
  Development Impact group Analytics organizes an annual conference on innovations in data and measurement in partnership with the World Bank¡¯s Development Data Group, the Center for Effective Global Action (CEGA) at UC Berkeley, and the Development Innovation Lab at the University of Chicago. 
  2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018