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While enthusiasm for systems change has grown steadily over the past decade, we find a significant gap persists between this enthusiasm and execution. Funders attempting to implement systems change consistently face 9 challenges, including unclear outcome attribution, long commitment horizons, and complex stakeholder coordination. When faced with these challenges, it is understandable why many funders find themselves defaulting to patching the system rather than changing it. The pressures...
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Critical summary – the single through‑line of the essay
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For about 15-20 years, a rather small-yet growing-community of designers started getting involved in public policy innovation and public problem solving activities. Those design activists (willing to work for the common good, public welfare and social justice) have decided to apply their design skills, tools and methods in order to help public authorities of all levels (from village, to city, metropolis, national governments, or EU commission, etc.) reset & solve public problems and/or fix...
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Cooke and Kothari argue that the seductive claims of participation often provide cover for shallow and tokenistic development practices that fail to address unequal power relationships. This paper provides a novel mechanism that documents and enables a three-dimensional analysis of (a) who participates (b) at which project stages and (c) at what level of agency and power. No other mechanism was found in the literature for systematically tracing and analysing changes in power relationship...
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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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Today’s critical challenges are complex and require system level change. Issues like ending poverty, reversing biodiversity collapse, creating more equitable and sustainable food systems, or ending health inequalities, will not respond to neat siloed technical interventions. These are not problems we can tackle head on. Rather, we need to change the conditions (systems) that create these problems. Consequently, many of the most ambitious philanthropic foundations are adopting ‘systems...
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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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Pando Funding is a practical, principle-based approach to pooling and deploying capital to support a system change network—collaborations of diverse actors working across strategies, sectors, and theories of change to shift a complex system for the better. A system change network brings together leaders, helps them develop a shared vision for transformational change, and shifts decision-making into their hands so they can adapt and innovate in response to emerging developments on the...
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By Robert Ricigliano and Anna Muoio
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What it takes to create smart velocity
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Hey there 👋We've created a new presentation called "Questions you can answer with causal mapping." It's designed to help you get a better handle on what causal mapping is all abou
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Process tracing (PT) involves a detailed analysis of the processes that link interventions to outcomes. PT is particularly useful for evaluating interventions that are difficult to quantify, such as knowledge work or institution building. It involves creating a detailed causal theory, tracking the process theory of change (pToC) by examining the observable evidence, and learning general lessons from the cases studied. PT offers two main benefits to evaluators: first, it provides a clear way...
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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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