DIME Analytics creates tools that improve the quality of impact evaluation research for all. We take advantage of the concentration and scale of research at DIME to develop and test solutions to ensure data work quality across our portfolio, and to make public training and tools available to the larger community of development researchers who might not have the same capabilities.
Public Resources and Training
- Manage Successful Impact Evaluations
DIME Analytics’ flagship training is a week-long annual course, open to the public. MSIE is intended to improve the skills and knowledge of impact evaluation (IE) practitioners, familiarizing them with critical issues in IE implementation, recurring challenges, and cutting-edge technologies. The course consists of lectures and hands-on sessions, with parallel tracks based on software preferences and skill level. Through small group discussions and interactive computer lab sessions, participants work together to apply what they've learned and have a first-hand opportunity to develop skills.
2019 course materials. The 2020 course has been postponed due to the COVID-19 crisis.
- Manage Successful Impact Evaluation Surveys
A fully virtual course, in which participants learn the workflow for primary data collection. The course covers best practices at all stages of the survey workflow, from planning to piloting instruments and monitoring data quality once fieldwork begins. There is a strong focus throughout on research ethics and reproducible workflows. The course uses a combination of virtual lectures, case studies, readings, and hands-on exercises.
2020 Remote Course Material
- Research Assistant Onboarding Course
This course is designed to familiarize Research Assistants and Research Analysts with DIME's standards for data work. By the end of the course's six sessions, participants will have the tools and knowledge to implement best practices for transparent and reproducible research. The course will focus on how to set up a collaborative workflow for code, datasets, and research outputs. Most content is platform-independent and software-agnostic, but participants are expected to be familiar with statistical software.
- DIME Wiki
One-stop shop for impact evaluation research solutions. The DIME Wiki is a resource focused on practical implementation guidelines rather than theory, open to the public, easily searchable, and suitable for users of varying levels of expertise.
- Development Research in Practice: the DIME Analytics Data Handbook
The DIME data handbook is a practical guide on how to make data work efficient, ethical, transparent, and scalable.
- Research Standards Bootcamps
Workshops promoting real-time adoption of DIME’s Research Standards across the DIME portfolio.
Research Reproducibility Bootcamp | Research Ethics & Data Security Bootcamp
- Software training
Trainings for World Bank staff and government counterparts on common software for impact evaluation research.
R for Advanced Stata Users | Introduction to LaTeX | GitHub for Researchers | Research Assistants Continuing Education | Field Coordinators Continuing Education
- Computational Reproducibility – Code Review
DIME Analytics checks “computational reproducibility” for all DIME publications, verifying that all results are exactly reproduced from the provided code. Analytics offers computational reproducibility checks, pre-publication code review, assistance with the creation of replication package, and technical support with data and code publication as service to other teams. Contact firstname.lastname@example.org for details.
- Reproducible Research Agenda
Regular events and trainings to promote reproducible research, in collaboration with the Berkeley Institute for Transparency in Social Science (BITSS) and other partners. Events in 2019 included Making Analytics Reusable (event, blog) and Transparency, Reproducibility and Credibility: a Research Symposium (event, presentations, blog).
Quality Assurance for Data Acquisition
- SurveyCTO Platform
Management of the World Bank’s SurveyCTO platform for electronic data collection, and organized trainings on the tool.
- Survey Review
Open source resources for data collection (e.g. checklists), and technical support to all DIME teams preparing for data collection.
- Measurement Conference
Annual conference on data and measurement innovations in partnership with the Center for Effective Global Action (CEGA).
2020: Data Integration and Data Fusion | 2019: Crisis Preparedness and Response | 2018: Artificial Intelligence and Economic Development | blog
Open Source Research Tools
We take advantage of the scope and scale of DIME research to develop and test econometric and technical solutions and develop public tools.