Scientific understanding through big data: From ignorance to insights to understanding. Martínez-Ordaz, M. d. R. Possibility Studies & Society, 1(3):279–299, 2023.
Scientific understanding through big data: From ignorance to insights to understanding [link]Paper  doi  abstract   bibtex   
Here I argue that scientists can achieve some understanding of both the products of big data implementation as well as of the target phenomenon to which they are expected to refer—even when these products were obtained through essentially epistemically opaque processes. The general aim of the paper is to provide a road map for how this is done; going from the use of big data to epistemic opacity (Sec. 2), from epistemic opacity to ignorance (Sec. 3), from ignorance to insights (Sec. 4), and finally, from insights to understanding (Sec. 5, 6)
@article{martinez-ordaz2023,
	title = {Scientific understanding through big data: {From} ignorance to insights to understanding},
	volume = {1},
	url = {https://journals.sagepub.com/doi/full/10.1177/27538699231176523},
	doi = {10.1177/27538699231176523},
	abstract = {Here I argue that scientists can achieve some understanding of both the products of big data implementation as well as of the target phenomenon to which they are expected to refer—even when these products were obtained through essentially epistemically opaque processes. The general aim of the paper is to provide a road map for how this is done; going from the use of big data to epistemic opacity (Sec. 2), from epistemic opacity to ignorance (Sec. 3), from ignorance to insights (Sec. 4), and finally, from insights to understanding (Sec. 5, 6)},
	number = {3},
	journal = {Possibility Studies \& Society},
	author = {Martínez-Ordaz, María del Rosario},
	year = {2023},
	pages = {279--299},
}

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