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  • EvalColombo2018 Responsible Parliaments: Embracing Evaluation for Agenda 2030

    In this guest blog, GPFE Secretariat members, Ada Ocampo and Asela Kalugampitiya, give us an overview of some of the highlights of the recent EvalColombo2018 event, a three-day forum hosted by that ran from 17th to 19th of September 2018 in
    Blog
  • The River Chart

    Developed by Geoff Parcell and Chris Collison in their book No More Consultants: We Know More Than We Think, “The River Diagram” is a useful tool designed for visualising the results of self-assessment and peer-learning data from multi
    Resource
  • Iterative design and monitoring for adaptive management: How causal link monitoring can help

    Development actors are embracing the concept and practice of adaptive management, using evidence to inform ongoing revisions throughout implementation.
    Blog
  • Discussion note: Complexity aware monitoring

    USAID’s Office of Learning, Evaluation and Research (LER) has produced a Discussion Note: Complexity-Aware Monitoring, intended for those seeking cutting-edge solutions to monitoring complex aspects of strategies and projects.  
    Resource
  • Causal Pathways introductory session: Causal link monitoring

    This session of the Causal Pathways Symposium 2023, by Heather Britt, introduced causal link monitoring, a method for integrating monitoring data and evaluation in order to address causality amid complexity.
    Resource
  • Causal link monitoring brief

    Causal Link Monitoring (CLM) integrates design and monitoring to support adaptive management of projects.
    Resource
  • Causal Pathways 2023 Symposium and 2024 introductory sessions

    This series of webinars was first presented at the Causal Pathways Symposium 2023, which focused on "connecting, learning, and building a shared understanding of the evaluation and participatory practices that make causal pathways more visible"
    Resource
  • Causal link monitoring

    Causal link monitoring (CLM) is an approach to designing and implementing monitoring, evaluation and learning (MEL) systems that prioritise information for managing adaptively in complexity.
    Approach