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Filter search resultsActionable impact management - eBook series
This series, published by SoPact, the Melbourne Business School & Asia Pacific Social Impact Centre, covers four topics: Theory of Change and Groundwork, Social Impact Metrics, Data Strategy, Reports and Storytelling.ResourceProgram Evaluation: a Plain English Guide
This 11-step guide defines program evaluation, what it is used for, the different types and when they should be used. Also covered is how to plan a program evaluation, monitor performance, communicate findings, deliver&nResourceTheory of change software
There are a number of options when it comes to using software to help create a logic model.ResourceIterative 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.BlogDiscussion 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.ResourceCausal 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.ResourceCausal link monitoring brief
Causal Link Monitoring (CLM) integrates design and monitoring to support adaptive management of projects.ResourceCausal 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"ResourceCausal 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