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Filter search resultsAdapting evaluation in the time of COVID-19 — Part 3: Frame
Evaluation needs to respond to the changes brought about by the Covid-19 pandemic. As well as direct implications for the logistics of collecting data and managing evaluation processes, the pandemic has led to rapid changesBlogUshahidi
Ushahidi is an open-source mapping and crowdsourcing tool that can be used by organizations to collect, manage and analyse crowdsourced info.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.BlogIdentifying the intended user(s) and use(s) of an evaluation
This guideline from the International Development Research Centre (IDRC) highlights the importance of identifying the primary intended user(s) and the intended use(s) of an evaluation.ResourceDiscussion 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