Researchers are advocating for a move towards country-led, locally-informed strategies in global health decision-making, particularly concerning disease modeling. They argue that current models are often developed without sufficient input from the communities they are intended to benefit, leading to potential inaccuracies and inequities. While artificial intelligence can be a valuable tool, its effectiveness is contingent on access to appropriate context and data. AI
IMPACT AI's role in global health modeling is highlighted as dependent on local context, suggesting a need for more equitable data practices.
RANK_REASON The cluster discusses a research call for a new approach to disease modeling in global health, emphasizing local leadership and equity.
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