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Greg Priest
@greg_m_priest
Next, Alisa Bokulich on the model-ladenness of data. Starts with Paul Edwards idea of model-data symbiosis, particularly the idea that data is model-filtered. Focus on geosciences. #hss18 #psa2018
A taxonomy of the model-ladenness of data. 1. Data conversion: Measured quantity is a proxy for phenomenon of interest. 2. Data correction: data gathered in field needs to be cleaned of noise or confounding factors to yield signal. #hss18 #psa2018
3. Data interpolation: often data has spatial or temporal gaps that need to be filled in in ways often mediated by the model. 4. Data scaling: you may gather data at scales different from the scale of interest, so it has to be rescaled. #hss18 #psa2018
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