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Frameworks for Change
Lean Experimentation and Pilot to Scale
Lean experimentation and pilot-to-scale approaches enable organizations to test ideas quickly, learn from evidence, and scale effective interventions, reducing waste and ensuring sustainable impact in social innovation and development.
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Logic Models and Outcome Mapping
Logic models and outcome mapping are tools that help organizations plan, monitor, and adapt AI-enabled programs by connecting activities to results and tracking behavioral changes in stakeholders.
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Measurement for Improvement vs Accountability
This article explores the difference between measurement for improvement and accountability, emphasizing the need to balance learning-driven data use with compliance in social innovation and development.
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Operating Models for Digital Teams
Operating models for digital teams define how people, processes, and technologies collaborate to deliver AI-enabled solutions effectively in mission-driven organizations across sectors and geographies.
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Participatory Design and Co Creation
Participatory design and co-creation involve communities and stakeholders in shaping AI and digital tools, ensuring solutions are inclusive, trusted, and aligned with local needs for sustainable impact.
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Portfolio Approach to Innovation
A portfolio approach to innovation manages multiple initiatives simultaneously, balancing risk and learning, especially important for mission-driven organizations facing complex, rapidly changing environments.
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Procurement for AI and Open Source
Procurement for AI and open source ensures organizations acquire technology transparently and ethically, balancing cost, security, and mission alignment while promoting open standards and community-driven solutions.
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Sandboxes and Controlled Pilots
Sandboxes and controlled pilots enable safe, structured testing of AI and digital innovations, balancing innovation with risk management to protect vulnerable communities and inform scalable solutions.
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Sustainability and Sunsetting Plans
Sustainability and sunsetting plans help organizations maintain or responsibly retire digital and AI initiatives, ensuring lasting impact and protecting communities across mission-driven sectors.
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Theory of Change in the AI Era
Theory of Change in the AI era provides a framework to ensure AI adoption advances equity, inclusion, and lasting social benefit across sectors like health, education, and humanitarian aid.
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