Machine learning and theory-ladenness: a phenomenological account - Synthese Synthese - We provide an analysis of theory-ladenness in machine learning (ML) in science, where ‘theory’ (that we call ‘domain-theory’) refers to the domain knowledge of...

New #philsci #philsky paper on #ML and #scientificmodelling! link.springer.com/article/10.1...
“Machine learning and theory-ladenness: a phenomenological account”
We revisit a widespread assumption in #philsci that modelling practices are inevitably shaped by domain-theoretical knowledge
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Meet the #SOCRATESgroup fellows!👋 Francesco Nappo (Politecnico di Milano) studies #scientificmodelling and its role in #publicpolicy. He investigates the strengths and limits of economic models for #climatemitigation and approaches guiding rapid energy transitions: t1p.de/k3nt1 #PhilSci #Philsky

Modelling brings to light how bright it can get inside the womb Credit: Yoshiyoshi Hirokawa via Getty Images Humans can’t remember their time in the womb, but new research suggests it might not be so dark in there. The first foetal eye movements can be seen on 2D...

Modelling brings to light how bright it can get inside the womb #Science #Biology #DevelopmentalBiology #WombBrightness #ScientificModelling