Introduction to Systematic Reviews
in International Development
Mannheim, Germany | December 11th-12th, 2019

 – This two-day hands-on workshop introduces participants to the principles of systematic reviews –


The number of research publications doubles every nine years. More than 6,000 new journals are started every year. And policy makers do not read academic journals anyway. So how are we to stay on top of the current state of academic literature, what can we learn and how can consensus positions emerge from a vast array of differing studies in different contexts with different findings, and how can policy be informed by evidence?

The adoption of evidence-based medicine was driven by systematic reviews. Systematic reviews summarize all available high-quality evidence addressing a specific question. Non-systematic reviews, including traditional literature reviews, are more prone subject to bias from missing studies and selective reporting. Well conducted reviews deliver clear policy messages.

The evidence-based policy movement promotes the adoption of the systematic review approach as a standard methodology in social and economic analysis.


For early to mid-career researchers (incl. PhD students) interested in undertaking a systematic review. Prior experience in conducting a review is not necessary. Participants should: (1) have a good grounding in statistics/ econometrics, and be familiar with approaches to estimating effects/impact in the presence of selection bias; (2) be familiar with R or Stata. Participants should bring their own laptop to the workshop.



REGISTER stating your affiliation and position until 2nd December 2019. Note that the number of participants is limited.

More information:

no workshop fee!


This workshop is given by the Campbell Collaboration. It is organized by the Center for Evaluation and Development (C4ED, Dr. Avdeenko) and University of Mannheim (Prof. Dr. Markus Frölich, SFB 884 and Chair of Econometrics).


The workshop has an interactive format of lectures followed by hands-on sessions. There will be a short quiz at the end of each day. The hands-on sessions are partly group work and partly individual exercises. The group work will be based on developing a research question using the Campbell Collaboration Title Registration Form. On the second day, each statistical lecture is followed by individual exercises, where participants perform meta-analytical analyses using R or Stata.


White (2019): Four Waves of the Evidence Revolution.;

Saran/ White (2018) Evidence and Gap Maps: A Comparison of Different Approaches

Waddington et al (2012): How to do a good systematic review of effects in international development: a tool kit Journal of Development Effectiveness