Datificación crítica: práctica y producción de conocimiento a contracorriente de la gubernamentalidad algorítmica. Dos ejemplos en el caso mexicano. Ábrego Molina, V. H. & Flores Mérida, A. Administración Pública y Sociedad (APyS), July, 2021. Number: 11
Datificación crítica: práctica y producción de conocimiento a contracorriente de la gubernamentalidad algorítmica. Dos ejemplos en el caso mexicano [link]Paper  abstract   bibtex   
Algorithmic governmentality can be understood as a form of rationality that starts from the use, production and management of social experience converted into data. In this work it is proposed that this form of rationality has serious implications in the way in which subjects experience that reality since, on the one hand, they limit the scope of the possible by converting subjective decisions into programmable probabilities while, also, they start and they reproduce biases and social inequalities. In response to this dominant use of data, the subjects have given rise to a new practice that corresponds to the critical use of data, tools and instruments typical of digitality. What we will call here critical datification is a response from practice but also a theoretical-methodological proposal to contend with the dominant discourses. Two cases are offered, that of the citizen response organized after the earthquake of September 19, 2017 in Mexico, in which the management of data created by activists was fundamental to respond to the emergency, and that of the academic work carried out in the interdisciplinary laboratory Signa_Lab in Mexico, to address, make visible and offer analysis of social problems such as the disappearance crisis in the state of Jalisco, in the same country.
@article{abrego_molina_datificacion_2021,
	title = {Datificación crítica: práctica y producción de conocimiento a contracorriente de la gubernamentalidad algorítmica. {Dos} ejemplos en el caso mexicano},
	copyright = {Derechos de autor 2021 Víctor Hugo Ábrego Molina, Antony Flores Mérida},
	issn = {2524-9568},
	shorttitle = {Datificación crítica},
	url = {https://revistas.unc.edu.ar/index.php/APyS/article/view/33025},
	abstract = {Algorithmic governmentality can be understood as a form of rationality that starts from the use, production and management of social experience converted into data. In this work it is proposed that this form of rationality has serious implications in the way in which subjects experience that reality since, on the one hand, they limit the scope of the possible by converting subjective decisions into programmable probabilities while, also, they start and they reproduce biases and social inequalities. In response to this dominant use of data, the subjects have given rise to a new practice that corresponds to the critical use of data, tools and instruments typical of digitality. What we will call here critical datification is a response from practice but also a theoretical-methodological proposal to contend with the dominant discourses. Two cases are offered, that of the citizen response organized after the earthquake of September 19, 2017 in Mexico, in which the management of data created by activists was fundamental to respond to the emergency, and that of the academic work carried out in the interdisciplinary laboratory Signa\_Lab in Mexico, to address, make visible and offer analysis of social problems such as the disappearance crisis in the state of Jalisco, in the same country.},
	language = {es},
	number = {11},
	urldate = {2024-01-13},
	journal = {Administración Pública y Sociedad (APyS)},
	author = {Ábrego Molina, Víctor Hugo and Flores Mérida, Antony},
	month = jul,
	year = {2021},
	note = {Number: 11},
	keywords = {Análisis crítico, Ciencia de datos, Datificación, Gubernamentalidad algorítmica},
	pages = {211--231},
}

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