Scaling of innovations is a key requirement for addressing societal challenges in sectors such as health, agriculture, and the environment. Research for development (R4D) programs, projects and other interventions struggle to make particular innovations go to scale. Current conceptualizations of scaling are often too simplistic; more systemic and multidimensional perspectives, frameworks and measures are needed. There is a gap between new complexity-aware theories and perspectives on innovation, and tools and approaches that can improve strategic and operational decision-making in R4D interventions that aim to scale innovations. This paper aims to bridge that gap by developing the key concepts and measures of Scaling Readiness. Scaling Readiness is an approach that encourages critical reflection on how ready innovations are for scaling and what appropriate actions could accelerate or enhance scaling. Scaling Readiness provides action-oriented support for (1) characterizing the innovation and innovation system; (2) diagnosing the current readiness and use of innovations as a proxy for their readiness to scale; (3) developing strategy to overcome bottlenecks for scaling; (4) facilitating and negotiating multi-stakeholder innovation and scaling processes; and (5) navigating and monitoring the implementation process to allow for adaptive management. Scaling Readiness has the potential to support evidence-based scaling strategy design, implementation and monitoring, and – if applied across multiple interventions – can be used to manage a portfolio of innovation and scaling investments.

中文翻译：

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扩展准备：增强研究促进发展影响的方法的科学和实践

扩大创新规模是应对卫生、农业和环境等部门社会挑战的关键要求。研究促进发展 (R4D) 计划、项目和其他干预措施难以使特定创新规模化。当前的缩放概念通常过于简单化；需要更系统和多层面的观点、框架和措施。新的复杂性感知理论和创新观点与工具和方法之间存在差距，这些工具和方法可以改善旨在扩大创新规模的 R4D 干预措施中的战略和运营决策。本文旨在通过开发扩展准备的关键概念和措施来弥合这一差距。Scaling Readiness 是一种鼓励批判性反思创新对于扩展的准备程度以及哪些适当的行动可以加速或增强扩展的方法。Scaling Readiness 为（1）表征创新和创新系统提供面向行动的支持；(2) 诊断创新的当前准备情况和使用情况，作为其规模准备情况的代理；(3) 制定克服规模化瓶颈的策略；(4) 促进和协商多利益相关方的创新和扩展过程；(5) 导航和监控实施过程以进行适应性管理。Scaling Readiness 有可能支持基于证据的扩展策略设计、实施和监控，