id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_un6dfqx6ofdnzo7u4csruxeywa	John Symons	Can we trust Big Data? Applying philosophy of science to software	2016	17	.pdf	application/pdf	15021	1038	55	debates in Critical Data Studies and philosophy of science have neglected the problem of error management and error Big Data, epistemology, software, complexity, error, Critical Data Studies of Big Data techniques by powerful institutions is a careful account of the epistemic limits of computational the central role of software in Big Data projects, traditional accounts of epistemic reliability drawn from that has direct bearing on Big Data involves the problem of tackling error in large software systems. Given that many problems involving Big Data techniques are of a dynamic nature, in real time and involving changing demarcations and inputs, the N ¼ All they offer limited insight into the novel epistemic features of computational methods such as Big Data. and simulations, in the philosophy of science to questions of reliability and error in Big Data. Big Data can also address problems involving complex systems where the relevant dynamics are not obviously accessible except through surveying vast amounts	./cache/work_un6dfqx6ofdnzo7u4csruxeywa.pdf	./txt/work_un6dfqx6ofdnzo7u4csruxeywa.txt