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  • What is a LogFrame?

    American University's resource What is a LogFrame, written by Kirsten Bording Collins, gives a concise overview of LogFrames. It covers LogFrame structures, tips for developing LogFrames, and strengths and weaknesses of LogFrames.
    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

  • The magenta book: Guidance for evaluation

    This guide, from H M Treasury, originally published in 2011 and updated in 2020, is the central guidance for all UK government departments on evaluation.
    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

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