Causality: Philosophical Theory meets Scientific Practice

2014

117 citations recorded by the source corpus.

Subfields: Global and Planetary Change, History and Philosophy of Science

Citations in the corpus

• Critical data studies: An introduction (2016, neutral): “Further, issues of causality (Illari and Russo, 2014), quality (Floridi and Illari, 2014), security (Taddeo, 2013; Taddeo and Floridi, 2015), and uncertainty (Leonelli, 2015) continue to provoke debate among Big Data researchers, practitioners, and their critics.”
• Big Data, epistemology and causality: Knowledge in and knowledge out in EXPOsOMICS (2016, unknown): “Considering these features and their use in big datasets (Illari and Russo, 2014: 60–61), formal causal models may be considered the way to go in EXPOsOMICS.”
• ‘A mechanistic interpretation, if possible’: How does predictive modelling causality affect the regulation of chemicals? (2016, unknown): “Then what needs to be conformed with and aligned to the models is the world itself (Illari and Russo, 2014).”