The last decades science gets more and more confronted with the real world out there. Complex problems extend across many scales of space and time; and uncertainties and value loadings of all degrees of severity affect data and theories alike.
Dr. Jeroen vd Sluijs (Copernicus Institute, Utrecht) illustrates this on examples like biodiversity, fine dust and chicken flu. He classifies the uncertainties and elaborates on the consequences for science and policy. Where do you go when more knowledge doesn’t solve the problem better?
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