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Evaluating Research for Development: Innovation to Navigate Complexity.

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Summary
This summary is machine-generated.

Research for development evaluation is maturing, shifting from narrow accountability to understanding complex, emergent impact pathways for marginalized populations. This approach embraces uncertainty and fosters adaptation in global development initiatives.

Keywords:
Causal PathwaysComplexityInnovationLearningResearch for Development

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Area of Science:

  • Development Studies
  • Evaluation Science
  • Societal Impact Research

Background:

  • Publicly funded research programs aim to create impact for marginalized populations.
  • Research for development is expected to drive complex societal change.
  • Traditional evaluation methods struggle with uncertain causal pathways and emergent outcomes.

Purpose of the Study:

  • To explore innovative, complexity-aware evaluation approaches for research and development.
  • To address challenges in evaluating performance, learning, and adaptation.
  • To capture emergent change and understand impact across different scales.

Main Methods:

  • The special issue presents experiences from authors across sectors and geographies.
  • Methodological innovation and power navigation are key themes.
  • Evaluation across scales, from local to systems-level change, is examined.

Main Results:

  • Authors reconcile tensions between accountability and learning.
  • Prospective theories of change are evaluated alongside emergent changes.
  • Internal relational dynamics are assessed alongside external development outcomes.

Conclusions:

  • The research for development evaluation field is maturing.
  • There is a shift from narrow accountability instruments to appreciating emergent causal pathways.
  • Complexity-aware approaches are crucial for understanding research impact in development contexts.