The field of climate and health is situated at a sweet spot between two complementary evidence synthesis traditions. The health community has been invaluable in developing systematic review methodologies for understanding interventions. The climate community has developed an intermodal comparison toolkit for evaluating alternative policy futures. In this talk I will discuss how the field of climate and health can be instrumental in advancing evidence synthesis to the next level. Driven by an evidence base that is shaped very differently than in health, there is a requirement to adjust and expand the traditional evidence synthesis toolkit. Mutual learning between the climate and health communities could be an important driver and accelerator for innovation. The second half of the talk will be devoted to outlining the research frontiers of artificial intelligence in making evidence synthesis faster and cheaper without jeopardizing methodological rigor.
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