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The growing interest in systems-change initiatives sits alongside increasing pressure to demonstrate value for money (VFM), which is challenging for emergent, interconnected and often intangible work. A new way to assess the VFM of systems-change work involves considering the value of changing system conditions and the creation of potential value for future systems transformation. This innovation combines the Water of Systems Change framework with the Cycles of Value Creation to create five...
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Key Points • The authors identified four archetypes describing philanthropic funders’ approach to AI: The Curious, The Doers, The Dreamers, The Skeptics. • The authors did not find major differences across foundations based on their geographic location, though there were differences found based on their mission and values. Feminist and social justice funders in the Global South demonstrated more skepticism than others. • Even in seemingly benign or straightforward applications, AI systems...
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Quality assurance strategies when working on unfamiliar topics
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Track to Change homepage
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How practitioners navigate between systems and complexity thinking. Exploring structure and emergence in real-world collaboration and adaptive work.
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Earlier this year we spoke to 102 leaders from across the globe to ask: Ten years from now, what will we regret not having done today? This framing turned out to be a powerful device for collective horizon scanning and foresight. Across every conversation there was a sense that this moment demands more from us all, along with a strong eagerness to explore what we can own and act on. More than that, these discussions surfaced direction, hope and a way forward. From CEOs, professors, PhDs,...
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“Polycrisis” has become a ubiquitous descriptor for the multisector, intersecting problems afflicting the world—but the term masks the systemic nature of these crises and overwhelmingly reflects Eurocentric voices, priorities, and…
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This paper shares an insider's perspective on the spread of Thinking and Working Politically (TWP) across the US Agency for International Development (USAID), highlighting lessons learned along the way that are relevant even beyond the dissolution of the Agency in 2025.
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Despite an emerging body of scholarship on applying generative AI (GenAI) to qualitative data analysis, this area remains underdeveloped. This article evaluates how GenAI can support thematic analysis using a publicly available interview dataset from Lumivero. It introduces Guided AI Thematic Analysis (GAITA), an adaptation of King et al.’s (2018) Template Analysis. This framework positions researchers as a reflexive instrument and intellectual leader while thoroughly guiding GPT-4 in four...
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The CGIAR 2030 Research and Innovation Strategy commits organizational change with seven ways of working, including “Making the digital revolution central to our way of working”. In that context, Artificial Intelligence (AI), introduces both opportunities and risks to evaluation practice. Guided by the CGIAR-wide Evaluation Framework, integrating AI tools requires a governance approach to balance innovation with ethical responsibility, ensuring transparency, fairness, accountability, and...
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One of the main questions evaluators have when using AI is: "How can I know if it performs well?" To answer this question, we have developed a guidance note aimed at capturing what we have learned so far about integrating AI into evaluation and to offer a framework for further exploration. Since we began our experiments with Large Language Models (LLMs) in the Spring of 2023, we have made significant progress in using Generative Artificial Intelligence (GenAI) for processing and analyzing...
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What it takes to create smart velocity
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This article presents an artificial intelligence-assisted causal mapping pipeline for gathering and analysing stakeholder perspectives at scale. Evidence relevant to constructing a programme theory, as well as evidence for the causal influences flowing through it, are both collected at the same time, without the evaluator needing to possess a prior theory. The method uses an artificial intelligence interviewer to conduct interviews, automated coding to identify causal claims in the...
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Generative AI (GenAI) is evolving rapidly, and its use in violence against women research remains new and largely experimental. While researchers are beginning to explore GenAI’s potential, uncertainty around its risks, ethical challenges, and real-world application persists. Recognising the need for clear guidance, the Sexual Violence Research Initiative (SVRI) partnered with The MERL Tech Initiative (MTI) to develop this resource. This guide aims to provide background on GenAI, strengthen...
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Relational state capacity (RSC) integrates the quality of citizen-state relationships into the concept of state capacity, emphasizing mutual recognition between citizens and state agents as foundational for societal problem-solving. Traditional state capacity definitions overemphasize technical and institutional elements, overlooking relational dynamics. RSC is a latent societal resource activated through mutual recognition in citizen-state exchanges with potential to improve outcomes across...
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The post outlines the background and development of a new approach to assessing value for money (VfM) in public policies and social programs. King identifies a key problem: while there's increasing pressure to demonstrate VfM in public programs, traditional assessment methods are incomplete, with economics and evaluation operating as separate rather than integrated disciplines. Key points about the research development: 1. King developed a conceptual model for VfM evaluation, published in...
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A curated collection of resources on Adaptive Management and MEL in International Development
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Essential how-to guidance for government product managers and digital teams.
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