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AI already is being used in some areas of process improvement, and the usage of this technology — including generative AI — promises to grow. That’s because it can perform tasks faster and much less expensively than humans alone. But it will never fully replace people — and that poses management challenges.
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The complexity of issues addressed by research for development (R4D) requires collaborations between partners from a range of disciplines and cultural contexts. Power asymmetries within such partnerships may obstruct the fair distribution of resources, responsibilities and benefits across all partners. This paper presents a cross-case analysis of five R4D partnership evaluations, their methods and how they unearthed and addressed power asymmetries. It contributes to the field of R4D...
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The world changes too much for anyone who is invested in social change work to imagine that this work is linear and predictable. Opportunities come and go, whether caused by a pandemic or political shifts. This much most social movement leaders and activists intuitively understand. But what can be done with this realization? How might movement groups better prepare for moments of opportunity? We want to explore how we can create the changes we want to see by responding to the changes that are outside our control.
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In this blog we are sharing a digest of some of the many useful and innovative monitoring, evaluation and learning resources and efforts that have come through the M&E Sandbox in 2022. A lot of these resources have been shared by our community in response to the overwhelmingly positive feedback from the launch of the Sandbox (please keep them coming!). We hope you find it useful. We have grouped these efforts and resources under six broad questions: - How do we measure systems...
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The Covid-19 Responses for Equity (CORE) programme was a three-year initiative funded by the Canadian International Development Research Centre (IDRC) that brought together 20 projects from across the global South to understand the socioeconomic impacts of the Covid-19 pandemic, improve existing responses, and generate better policy options for recovery. The research covered 42 countries across Africa, Asia, Latin America, and the Middle East to understand the ways in which the pandemic...
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On December 13, 2022, Social Impact hosted a webinar in our Evidence for Impact series, "Strengthen Your Team's CLA Practices: Introducing the CLA Maturity Tool for USAID Implementers." Through the session, we shared more about the origin and history of the USAID tool upon which this version is based, why and how we updated
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What problem is the KRT model trying to solve? For workforces that experience continuous staff turnover, the lack of systematic knowledge transfer can often lead to: - Loss of programmatic momentum, - Duplication of efforts and frustration, and - Wasted time and resources. The Knowledge Retention and Transfer (KRT) model provides tools, processes, and practices to individuals, teams, offices, and organizations to improve knowledge handover, which in turn improves efficiency and programmatic and operational learning.
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Large language models (LLMs) are a type of generative artificial intelligence (AI) designed to produce text-based content. LLMs use deep learning techniques and massively large data sets to understand, summarize, generate, and predict new text. LLMs caught the public eye in early 2023 when ChatGPT (the first consumer facing LLM) was released. LLM technologies are driven by recent advances in deep-learning AI techniques, where language models are trained on extremely large text data from the...
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This report addresses the well-recognized evidence gap1 on the longer-term impacts created by marketdriven programming; specifically, programming influenced by market systems development (MSD) principles. It does so by presenting the findings of an ex-post study conducted three and a half years after the close of USAID’s Feed the Future Senegal Naatal Mbay Activity (hereafter Naatal Mbay) in 2019. It examines the scale and sustainability of changes resulting from Naatal Mbay’s introduction...
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How can we measure and learn when promoting systems change? It’s a challenge that has inspired Laudes Foundation to develop a rubrics-based methodology to help us, our partners and the wider field of philanthropy, understand our contribution to change, while learning and adapting to new and unforeseen circumstances. Change cannot be captured by numbers alone because metrics put the focus on what can be counted, not always what’s most important. Rubrics are a framework that set a standard...
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CLARISSA (Child Labour: Action-Research-Innovation in South and South-Eastern Asia) has a participatory and child-centred approach that supports children to gather evidence, analyse it themselves and generate solutions to the problems they identify. The life story collection and collective analysis processes supported children engaged in the worst forms of child labour in Bangladesh to share and analyse their life stories. Over 400 life stories were collected from children who worked in...
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Participatory action research (PAR) is an approach to research that prioritizes the value of experiential knowledge for tackling problems caused by unequal and harmful social systems, and for envisioning and implementing alternatives. PAR involves the participation and leadership of those people experiencing issues, who take action to produce emancipatory social change, through conducting systematic research to generate new knowledge. This Primer sets out key considerations for the design of...
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Based on a presentation at Australian Evaluation Society International Evaluation Conference, Brisbane, 28 September 2023. The importance of participatory approaches to evaluation is well-understood. Involving the right people and balancing voices at the stakeholder table can help to make evaluations more valid, credible, useful, and actually used. Not all evaluations, however, are done in participatory ways. This presentation shares the experience of three evaluators in two recent projects...
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The UNDP has been exploring new approaches to M&E to better understand and address complex systems challenges. Traditional linear project-based planning and evaluation methods are insufficient for dealing with the unpredictable nature of such systems. The UNDP’s new Strategic Plan calls for a shift in M&E practices to align with the complexity of today’s global challenges. Key points from the blog post include: Learning and Adapting: There’s a need for continuous learning and adaptation in...
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Check out this video to see what’s inside our new resource: Practitioners' Guidance to Assessing Systems Change, developed by MEL Managers for MEL Managers. (Check out the Guidance here https://bit.ly/MSPMELClinics.) Hear from the authors about which parts they love the most and how this guide challenges MEL managers to assess systems change as an ongoing aspect of implementation, generating feedback that teams need to better understand and catalyze change, for more impact.
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Evaluation practitioners in the international development sector have given considerable attention in recent years to process tracing as a method for evaluating impact, including discussion of how to assess the relative importance of causal factors. Despite the increasing interest, there is a relative dearth of examples of practical learning and evidence of applying process tracing in practice. This CDI Practice Paper draws on comparative learning from applying three different types of...
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Achieving impact through research for development programmes (R4D) requires engagement with diverse stakeholders across the research, development and policy divides. Understanding how such programmes support the emergence of outcomes, therefore, requires a focus on the relational aspects of engagement and collaboration. Increasingly, evaluation of large research collaborations is employing social network analysis (SNA), making use of its relational view of causation. In this paper, we use...
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Principles and processes
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How can donors and grantees work together to create effective monitoring, evaluation, and learning (MEL) practices that drive field-wide transformation? The Open Society Foundation’s Fiscal Governance Program found success by focusing on six key approaches, including empowering grantees and relinquishing power. In 2021, an external close-out evaluation by Intention to Impact of the program (which ran for 7 years and gave over $150 million in grants) revealed something pretty remarkable—the...
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