Ciencia de Datos versus Ciencia de la Información: informetría y análisis textual

The aim of this paper is identifying the characteristics of the scientific literature located in the superposition of Data Science (DC) and Information Science (IS). For this, a descriptive study with informetric applications, and, as a first approximation, textual analysis was carried out. 58 and 49 records were recovered in Scopus and WoS, respectively, for the period 1900-november, 2020. Scopus documents were the most cited and with a greater typological variety. Conceptually, data is the element that connects both domains. Both are conceived as transversal areas of knowledge, that is, they are intra, multi and transdisciplinary. DS and IS are recent disciplines, in their process of definition, reconceptualization and conformation of their methods and categories of analysis of large amounts of data and information. The sum of studies that appears in WoS and Scopus show us that DS and IS complement themselves and intersect with other areas of scientific knowledge. They are also communicated in other languages than English: Italian, French, Portuguese and JapaneseSe pretenden identificar las características de la literatura científica ubicadas en la superposición de la Ciencia de Datos (CD) y la Ciencia de la Información (CI). Para ello, se realiza un descriptivo con aplicaciones informétricas, y como primera aproximación el análisis textual. Para el periodo 1900-noviembre de 2020 se recuperaron 58 y 49 registros en Scopus y WoS, respectivamente, siendo los documentos de Scopus aquellos con mayor cantidad de citas y variedad tipológica. Conceptualmente, los datos, son el elemento que conectan a la CD y la CI. Ambas son concebidas como áreas del conocimiento transversales, es decir, son intra, multi y transdisciplinarias. La CD y la CI son disciplinas, recientes, en proceso de definiciones, reconceptualizaciones y conformación de métodos y categorías de análisis de grandes cantidades de datos e información. En tanto que la suma de estudios en CD y CI aparecen en WoS como en Scopus, se complementan e intersectan con otras áreas del saber científico, y se comunican, también en idiomas distintos del inglés: italiano, francés, portugués y japonés

Implementing precision methods in personalizing psychological therapies: barriers and possible ways forward

This is the final version. Available on open access from Elsevier via the DOI in this recordData availability: No data was used for the research described in the article.Highlights: • Personalizing psychological treatments means to customize treatment for individuals to enhance outcomes. • The application of precision methods to clinical psychology has led to data-driven psychological therapies. • Applying data-informed psychological therapies involves clinical, technical, statistical, and contextual aspects

AI ethics and higher education : good practice and guidance for educators, learners, and institutions

Artificial intelligence (AI) is exerting unprecedented pressure on the global higher educational landscape in transforming recruitment processes, subverting traditional pedagogy, and creating new research and institutional opportunities. These technologies require contextual and global ethical analysis so that they may be developed and deployed in higher education in just and responsible ways. To-date, these efforts have been largely focused on small parts of the educational environments leaving most of the world out of an essential contribution. This volume acts as a corrective to this and contributes to the building of competencies in ethics education and to broader, global debates about how AI will transform various facets of our lives, not the least of which is higher education