<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-0927</journal-id>
<journal-title><![CDATA[Historia y grafía]]></journal-title>
<abbrev-journal-title><![CDATA[Hist. graf]]></abbrev-journal-title>
<issn>1405-0927</issn>
<publisher>
<publisher-name><![CDATA[Universidad Iberoamericana, Departamento de Historia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-09272025000100097</article-id>
<article-id pub-id-type="doi">10.48102/hyg.vi64.541</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Ciencia de datos para la historia: datificar las fuentes para una historia (predictiva)]]></article-title>
<article-title xml:lang="en"><![CDATA[Data Science for History: Datafication of Sources for a (Predictive) History]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Manrique-Gómez]]></surname>
<given-names><![CDATA[Laura]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Borja Gómez]]></surname>
<given-names><![CDATA[Jaime Humberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de los Andes  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de los Andes Departamento de Historia ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2025</year>
</pub-date>
<numero>64</numero>
<fpage>97</fpage>
<lpage>145</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-09272025000100097&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-09272025000100097&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-09272025000100097&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La historiografía científica entrelazó tres pilares: documento, dato y hecho. Estos conceptos se revalorizaron con las digitalizaciones masivas a finales del siglo XX, que redefinió el concepto de dato para la historia. Una de las consecuencias fue la pérdida de control de los historiadores sobre los datos, por lo que estos asumieron un doble papel: usuarios de datos digitales o sus curadores. Este cambio supone dos retos: repensar el tratamiento de los datos análogos y digitales; y descubrir cómo aplicar técnicas de la ciencia de datos para enriquecer la práctica histórica. Este artículo examina los cambios producidos por las relaciones entre historia y ciencia de datos, enfocándose en las bases de datos como nuevas narrativas historiográficas. La datificación del pasado es una de las principales consecuencias de la ciencia de datos que, con modelos de inteligencia artificial, convierte en el centro del debate el carácter predictivo de la historia.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Historiography has traditionally relied on three pillars: document, data, and facts. These concepts gained new value in the late 20th-century with mass digitization efforts, leading to a redefinition of the role of data in history. A significant outcome of this shift was historians losing control over data and facts, resulting in a bifurcation of their roles into users and curators of digital data. This transformation brings forth two critical challenges: the need to re-evaluate the handling of both analog and digital data, and the exploration of how data science techniques can enhance historical research. This article explores the interplay between history and data science, focusing on databases as emergent historiographical narratives. We argue that the datafication of history is a fundamental result of data science&#8217;s integration into the field and with the advent of artificial intelligence, the predictive dimension of history is becoming the central point of disciplinary debate.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Historia digital]]></kwd>
<kwd lng="es"><![CDATA[datificación]]></kwd>
<kwd lng="es"><![CDATA[ciencia de datos]]></kwd>
<kwd lng="es"><![CDATA[predicción]]></kwd>
<kwd lng="es"><![CDATA[datos]]></kwd>
<kwd lng="es"><![CDATA[inteligencia artificial]]></kwd>
<kwd lng="en"><![CDATA[History]]></kwd>
<kwd lng="en"><![CDATA[Digital History]]></kwd>
<kwd lng="en"><![CDATA[Datafication]]></kwd>
<kwd lng="en"><![CDATA[Data Science]]></kwd>
<kwd lng="en"><![CDATA[Data]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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