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Filter search resultsDylomo
Dylomo is a free, web-based tool that can be used to create interactive, online logic models.ResourceEnhancing program performance with logic models
Developed by the University of Wisconsin Extension service, this resource provides an introduction to developing and using a particular version of the results chain.ResourceSelf-paced learning
Viewing learning materials, such as previously recorded webinars, at your own pace.MethodW.K. Kellogg Foundation logic model guide
The W.K. Kellogg Foundation Logic Model Guide shows how to develop a results chain 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.ResourceTheory maker
This free and open-sourced web-based tool was made by Steve Powell as a quick and simple way of creating a theory of change. The information provided was supplied by Steve Powell.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