Pascale distinguishes reluctance to share from institutional capacity to organise and share knowledge.
A broad organisational diagnosis, not proof of universal willingness.
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EVENT PARTICIPANT
Sophie Pascale.
Roles are listed as credited at the 2026 summit. Passage assignments are based on transcript context and remain unconfirmed.
In the conversation.
Impact AI is described as synthesising research so policymakers compare context-specific approaches.
Tool performance and comparative examples unverified.
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Pascale emphasises matching interventions to social, gender and political context.
Illustrative country comparison should not be treated as policy advice.
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Pascale urges users to inspect evidence origins and distinguish theory from applied evaluation.
Her preference is not a universal hierarchy of methods.
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Unsuccessful projects can reveal mistakes and conditions hidden by success-only evidence.
Failures must actually be reported to enter the corpus.
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Grassroots implementers may be invisible because they lack the resources and systems to publish.
Open standards alone do not remove participation costs.
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