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<!doctype html>
<html lang="es">
<head>
<meta charset="utf-8">
<title>Investigación en HH.DD basada en datos</title>
<!-- Dublin Core tags for better indexing, for example, Zotero connector -->
<meta name="DC.Title" content="Panorama de la investigación en Humanidades basada en datos">
<meta name="DC.Description" content="Slides for the presentation on Research Data in the Humanities for the conference 'Entre lo social y lo digital', Basel, 10-11 October 2004 ">
<meta name="DC.Creator" content="José Luis Losada Palenzuela" />
<meta name="DC.Date" content="2024-10-11" />
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<body>
<div class="reveal">
<!-- Any section element inside of this container is displayed as a slide -->
<div class="slides">
<section> <!-- PORTADA -->
<h2>Panorama de la investigación en Humanidades basada en datos</h2> <br>
<h4>José Luis Losada Palenzuela</h4>
<h4>RISE (Universität Basel), DaSCH</h4>
<br>
<h4 style="color: grey">«Entre lo social y lo digital. Encuentro de jóvenes investigadores del Hispanismo Suizo», Basel, 11.10.2024</h4>
</section>
<section> <!-- QR code to slides -->
<img src="imagenes/qrcode_editio.github.io.png"/>
<br>
<a href="http://editio.github.io/presentations/panorama_datos" target="_blank">http://editio.github.io/presentations/panorama_datos</a>
</section>
<section data-markdown> <!-- INDICE -->
<textarea data-template>
## Índice
- Datos y disciplinas.
- Gestión, ciclos y actores.
- Preservación.
- Posibilidades de IA.
</textarea>
</section>
<section data-markdown data-separator-notes="^Note:"> <!-- DATA -->
<textarea data-template>
## Datos
- Cualquier documento, información o testimonio que nos permita obtener conocimiento de algo: datos qualitativos.
- Como información organizada de manera adecuada para ser procesada por una computadora: datos cuantitativos.
- Libros, pinturas, obras de teatro, novelas, poesía, literatura = ¿datos?
</textarea>
</section>
<section>
<section data-markdown> <!-- Disciplines -->
<textarea data-template>
<img style="width: 60%; box-shadow: none;" src="imagenes/rise_sahle_dh_small.png"/>
<br>
<span class="fuente"><a href="http://webdoc.sub.gwdg.de/pub/mon/dariah-de/dwp-2013-1.pdf">Sahle (2013): DH Studieren!</a></span>
</textarea>
</section>
<section> <!-- Gestión de datos -->
<div class="imagen-texto">
<img style="border: none" src="imagenes/rise_sahle_dh_small.png"/>
</div>
<ul style="width: 55%; float: right;">
<li>Humanidades Digitales Puras: <em>Text Encoding Iniciative</em>.</li>
<li>[Disciplina] + digital: Lingüística Computacional.</li>
<li>[Disciplina] + componente digital: bases de datos históricas.</li>
Coexistencia
</ul>
</section>
<section data-markdown>
<textarea data-template>
<div class="cita" style="font-size: 0.8em">“As this historical summary implies, computational linguistics does not <em>need</em> mainstream, non-computational linguistics, whether to supply intellectual credibility or to ensure progress. Computational linguistics is not just linguistics with some practically useful but theoretically irrelevant and obfuscating nerdie add-ons.” <span class="fuente">Jones, Karen Spärck. 2007. “Computational Linguistics: What About the Linguistics?” Computational Linguistics 33 (3): 440. <a href="https://doi.org/10.1162/coli.2007.33.3.437">https://doi.org/10.1162/coli.2007.33.3.437</a></span></div>
</textarea>
</section>
</section>
<section>
<section data-markdown>
<textarea data-template>
### Análisis computacional de textos, dependencias sintácticas, concordancias, colación automática
<img style="width: 99%; box-shadow: none; border-bottom: none" src="imagenes/collatex.jpeg"/>
<br>
<span class="fuente"><a href="https://collatex.net">https://collatex.net</a></span>
</textarea>
</section>
<section data-markdown>
<textarea data-template>
### Estilometría, atribución de autoría
<img style="width: 99%; box-shadow: none; border-bottom: none" src="imagenes/matriz_estilometria.png"/>
</textarea>
</section>
<section data-markdown>
<textarea data-template>
### Edición crítica digital
<img style="width: 80%; box-shadow: none; border-bottom: none" src="imagenes/interreg_hamlet_xml.png"/>
</textarea>
</section>
<section data-markdown>
<textarea data-template>
### Datos en entornos geográficos
<img style="width: 70%; box-shadow: none; border-bottom: none" src="imagenes/sprachatlas.png"/>
<br>
<span class="fuente"><a href="https://dh-center.uni-tuebingen.de/escience/sprachatlas">Sprachatlas Baden-Württemberg</a></span>
</textarea>
</section>
<section data-markdown> <!-- Métodos y Herramientas que trabajan con datos -->
<textarea data-template>
- Corpora, NLP, NLU, NLG, anotación multimodal.
- Visualización de datos, análisis de redes.
- Video, sonidos, partituras (MEI).
- Bases de datos, ontologías, bibliotecas digitales, LoD.
- Transcripción OCR, HTR, Speech-to-text.
- Repositorios de datos y metadatos.
- [...]
</textarea>
</section>
<section data-markdown> <!-- Representation of data -->
<textarea data-template>
<div class="cita"> "[O]ne of the main problems since the earliest uses of computers and computational techniques in the humanities was the <span class="resaltado">representation of data</span> for input, processing, and output" <span class="fuente">[Vanhoutte 2013: 132]</span>
</div>
<br>
<div class="cita"> "[M]ost literary concepts are emphatically not designed to be quantified" <span class="fuente">(Moretti 2013: 114)</span></div>
<br>
<div class="cita"> "Instead of measuring things, finding patterns, and then finally asking what they mean, we need to start with an interpretive hypothesis (a "meaning" to investigate) and invent a way to test it."<span class="fuente">[Underwood 2019: 17]</span>
</div>
</textarea>
</section>
</section>
<section>
<section id="datos"> <!-- Gestión de datos -->
<h3>Gestión de datos</h3>
<div class="imagen-texto">
<img src="imagenes/data_lego.jpg"/>
<div class="caption"><a href="https://web.stanford.edu/group/sdgc/cgi-bin/ycisl/?p=4927" target="_blank"> "The Lego Data Story"</a>, Stanford University, 4.09.2021</div>
</div>
<ul style="width: 55%; float: right;">
<li><em>datum</em> (latin: “lo dado”); <em>raw data</em> ≠ listo para analizar.</li>
<li>Localizado, creado, sistematizado, interpretado, conservado.</li>
<li>Datos de entrada y salida (implicitos o explícitos).</li>
<li>Estructurados, no estructurados, semi estructurados.</li>
<li>Formatos: CSV, XML, TIFF, ZIP, ODD, JPEG, WAV, MP4, DOCX,...</li>
<li><em>Research Data Lifecycle</em>.</li>
</ul>
</section>
<section> <!-- Research Data Lifecycle -->
<h3>Ciclo de vida de los datos de investigación</h3>
<img src="imagenes/SwissDS-ENV_2023_CCBY40.png"/>
<br>
<span class="fuente"><a href="https://wp.unil.ch/swissds-env/en/action-1">SwissDS-ENV CC BY 4.0</a></span>
</section>
<section data-markdown> <!-- FAIR -->
<textarea data-template>
<img src="imagenes/interreg_fair.jpg"/>
- <em>Findable</em> (DOI, metadata)
- <em>Accessible</em> (Open Access, PI, Arks)
- <em>Interoperable</em> (XML, APIs)
- <em>Reusable</em> (CCBY4.0, documentación)
<span class="fuente"><a href="https://doi.org/10.1038/sdata.2016.18">(Wilkinson et al. 2016)</a></span>
</textarea>
</section>
<section data-markdown > <!-- Data Stewards -->
<textarea data-template>
## Gestores de datos
<img style="width: 50%; height: 60%" src="http://wp.unil.ch/swissds-env/files/2023/10/DS_Taches_FINAL_CC-BY_legend_E.png"/>
</textarea>
</section>
<section data-markdown> <!-- RISE -->
<textarea data-template>
### [RISE (Research and Infrastructure Support)](https://rise.unibas.ch)
<img style="width: 65%; box-shadow: none; border-bottom: none" src="imagenes/rise.png"/>
</textarea>
</section>
</section>
<section>
<section data-markdown> <!-- Preservation -->
<textarea data-template>
## Preservación
<div class="cita">"Common myths about the digital environment are that it is stable, even archival (e.g. permanent) and that it is “immaterial” (e.g. not instantiated in analogue reality). Every actual engagement with digital technology demonstrates the opposite." <span class="fuente">[Drucker 2014: 9]</span></div>
</textarea>
</section>
<section> <!--Lost data map-->
<img src="imagenes/FranziszkaMau_CCBYSA_2024.jpg"/>
<span class="fuente"><a href="https://www.FranziMachtDas.de">“Lost Data Map”, Franziska Mau, CC BY-SA.</a></span>
</section>
</section>
<section>
<section> <!-- Repositorios -->
<h2>Repositorios</h2>
<a href="https://www.dasch.swiss" target="_blank">
<img src="imagenes/dasch-logo.webp" alt="DaSCH" style="width: 40%;">
</a>
<a href="https://www.swissubase.ch/en/" target="_blank">
<img src="imagenes/swissubase-logo.png" alt="SwissUbase" style="width: 40%; padding-left: 50px">
</a>
<br>
<a href="https://zenodo.org" target="_blank">
<img src="imagenes/zenodo-logo.png" alt="Zenodo" style="width: 30%; ">
</a>
<a href="https://osf.io" target="_blank">
<img src="imagenes/osf-logo.png" alt="OSF" style="width: 30%; padding-left: 50px">
</a>
</section>
<section> <!-- Overview DasCH -->
<img src="imagenes/dasch_overview.png" alt="DaSCH">
</section>
<section> <!-- Bernoulli -->
<img src="imagenes/dasch_bernoulli.png" alt="Bernoulli-Euler Online (BEOL)" style="width: 80%; height: auto;">
<br>
<span class="fuente"><a href="https://meta.dasch.swiss/projects/0801">Bernoulli-Euler Online (BEOL), 2019, DaSCH. https://beol.dasch.swiss</a></span>
</section>
</section>
<section>
<section data-markdown> <!-- AI Generativa y datos en humanidades -->
<textarea data-template>
## AI Generativa: posibilidades
### OpenAi, Claude, Llama, Gemini, Perplexity...
- Analizar textos: resúmenes de fuentes históricas, multilingüismo, NER.
- Analizar imágenes (figuras, texto, transcripción, OCR, HTR) > Output en un formato estructurado.
- Conversión audio a texto.
- Codificación y lenguajes de programación.
- […]
- APIs para la investigación.
</textarea>
</section>
<section data-markdown> <!-- AI Generativa y datos en humanidades -->
<textarea data-template>
### Problemas y control de problemas
- <em>Hallucination</em>.
- <em>Prompting</em>.
- <em>Pre-training</em>.
- <em>Fine Tuning</em>.
- <em>RAGs (Retrieval Augmented Generation)</em>.
- LLM abiertos y locales.
</textarea>
</section>
<section data-markdown> <!-- AI Generativa y datos en humanidades -->
<textarea data-template>
<img src="imagenes/max_fair_LLM.jpg" style="width: 80%; height: auto;">
<br>
<span class="fuente"><a href="https://www.ub.uzh.ch/dam/jcr:38262b48-9ec8-410b-922d-e2053d21dab7/20240821_Lunch%2BLearn_FAIR-Use-of-GPT-generated-data-in-ssh-research.pdf">Max Hindermann: 21.08.2024. FAIR Use of GPT-Generated Data in SSH Research: A Practical Guide</a></span>
</textarea>
</section>
</section>
<!------------------------ CONCLUSIONS ------------------------------>
<section data-markdown>
<textarea data-template>
## Conclusión
</textarea>
</section>
<section data-markdown>
<textarea data-template>
<div>José Luis Losada Palenzuela, "Panorama de la investigación en Humanidades basada en datos", 2024 </div>
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