Developing tools and technology for evidence synthesis

Evidence synthesis (ES) is the process of converting scientific outputs - such as articles, reports and data - into reliable and digestible evidence that can inform management or policy.

ES is critical to evidence-informed decision-making in a range of fields from environmental conservation to medicine; but ES projects can be particularly time-consuming and resource-intensive.

We believe that ES can be made more resource-efficient, timely, transparent, rigorous and accessible by developing and improving the ecosystem of available Open Science tools for effective synthesis.

We created the Evidence Synthesis Hackathon (ESH) series to bring together interested researchers, practitioners and coders to discuss and develop new Open Source technologies for ES applications.

Our Events

We support the growth of new ideas, software, and collaborations for improved evidence synthesis

Our Network

We support participants from around the world to meet and work together to solve key problems

Latest Blogposts

    / Building metafor
    An interview with Wolfgang Viechtbauer
    Wolfgang is associate professor of statistics at Maastricht University. In addition to a successful career in meta-research, Wolfgang's hugely-influential software package 'metafor' is the default method for meta-analysis in R. Here Wolfgang answers some of our questions about his work and the importance of open science.

    / What is the Evidence Synthesis Hackathon?
    An interview with Neal Haddaway
    In the first of our blog series, Neal Haddaway, a Research Fellow from the Stockholm Environmental Institute, answers our questions about what exactly the Evidence Synthesis Hackathon is and how Evidence Synthesis Technology can support rigorous evidence-informed decision-making.