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  • Peer review and self-evaluation

    This toolkit from the Australian National University (ANU) provides a range of resources that demonstrate the use of both peer review and self evaluation in order to develop reflective practice in t
    Resource
  • Peer-assessment

    Peer assessment can provide additional benefits beyond self-assessment – in particular, the opportunity for peer learning through the review process.
    Method
  • Aid delivery methods: Project cycle management guidelines

    These guidelines from the European Commission have been prepared to support ongoing improvements in the quality of development assistance.
    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