No Golden Path - A Cautionary Tale of Quality and Bias
talk, Storytelling - DARIAH 2022, Athens
See a map of all the places I've given a talk!
talk, Storytelling - DARIAH 2022, Athens
talk, DHNB 2022, Uppsala
talk, Tech Digital Infrastructure Committee, Aarhus
talk, Digital Curriculum 2 date: 2021-10-11, Middelfart
talk, EADH 2021, Siberia
talk, DeiC Science Forum, Copenhagen
talk, DH Benelux 2021 ‘The Humanities in a Digital World‘ (Online), Leiden
talk, Managing Innovation - Master in Innovation Management and Business Development, Aarhus
talk, Digitale teknologier og metoder i forskning, fag og undervisning, Odense
talk, Aarhus University - Media and Journalism Studies, Aarhus
talk, Nordplus GBS Riga Workshop: Creating corpora and text mining in digital libraries, Riga
talk, DHN 2020, Riga
talk, Aarhus Univeresity, Aarhus
talk, The Digital Literacy, Aarhus
talk, The Digital Curriculum 2020-2021, Comwell Middelfart, Middelfart
talk, Aarhus University, Aarhus
talk, Aarhus University, Aarhus
talk, Gothenburg University, Gothenburg
talk, Aarhus University Arts, Aarhus
talk, Humlab: Computational text analysis and historical change, Umeå
talk, It-vest-konference 2019, Kolding
talk, DATALAB workshop, AIAS, Aarhus
talk, IT-Vest: Computational Methods in Research, Aarhus
talk, Digital Humanities and Classical Studies: Prospects and Challenges, Berlin
talk, Danish School of Education, Copenhagen
talk, Department of Philosophy, Aarhus
talk, Interacting Minds Centre, Aarhus
talk, Grundtvig Study Center Vartov, Copenhagen
talk, Digital Literacy, Aarhus
talk, Digital Humanities in the Nordic Countries 2019, Copenhagen
talk, Fagudvikling i Praksis 2019, Dansk HTX, Syddansk Erhvervsskole, Odense
talk, Danish Royal Library, Black Diamond, Copenhagen
talk, Culture Analytics, Lake Arrowhead
talk, DigHumLab strategy meeting, Aarhus
talk, Increasing Digital Competences within Humanities #2, Copenhagen
talk, Fondation maison des sciences de l'homme, Paris
talk, Temadag om fagområder i forskningen v/Dansk Sprognævn og Dansk, SDU HUM, University of Southern Denmark, Odense, Denmark
talk, Literature and Digital Humanities, University of Copenhagen, Copenhagen, Denmark
talk, The Thinking Machine: Interdisciplinary Perspectives on Neural Networks, Aarhus Institute of Advanced Studies (AIAS), Aarhus, Denmark
workshop, Aarhus University, Digital Literacy, Aarhus, Aarhus University
talk, North China Electric Power University (NCEPU), Baoding, China
talk, Vores Museum, Copenhagen, Denmark
talk, Modèles et Apprentissage en Sciences Humaines et Sociales 2018, Paris, France
talk, Faculty of Humanities, University of Southern Denmark, Odense, Denmark
talk, School of Culture and Society, Aarhus University, Aarhus, Denmark
talk, Business Intelligence, Aarhus University, Aarhus, Denmark
talk, Digital Literacy, Middelfart, Denmark
talk, DIGHUMLAB Strategy Input, Copenhagen
talk, DHN 2018, Helsinki
Workshop, DHN 2018, Helsinki
Department of Comparative Literature and Rhetoric, Aarhus University
Tutorial, Department of Comparative Literature and Rhetoric, Aarhus University, Aarhus, Denmark
Talk, University of Southern Denmark, Kolding
Talk, Institute of Automation - Chinese Academy of Science, Beijing
Talk, History group meeting, Brussels
Talk, , University of Southern Denmark, Kolding, DK
Talk, Institute of Pure and Applied Mathematics, Culture Analytics, Los Angeles
Abstract
talk, Centre for Data Intensive Sciences and Applications (DISA), Växjö, Sverige
Abstract
Workshop, Center for Language Technology, Copenhagen
The recent explosion in digitized and digital text-media is rapidly changing the evidential basis for the humanities. While the humanities used to be the principal scientific consumers of text-based data, the majority of text analysis is now performed by ‘machines’ outside traditional humanistic domains. Text-Analytics applies automated and data-intensive techniques in order to extract useful knowledge from from large collections of linguistic data. In this PhD course, the participant will acquire experience with two major machine learning paradigms (supervised and unsupervised learning) in order to answer research questions fundamental to the humanities: can we classify texts by genres, periods and status and how do surface structures reveal latent semantic properties. The workshop consists of a series of hands-on tutorials with Python combined with useful explanations and illustrations through use-cases. Programming experience is not a requirement, but participants are should to prepare by installing Python and completing three introductory tutorials available on-line.
Talk, University of Southern Denmark, Dept. of History, Odense, Denmark
Tutorial, Danish School of Education, Emdrup, Denmark
The recent explosion in digitized and digital text-media is rapidly changing the evidential basis for the humanities. While the humanities used to be the principal scientific consumers of text-based data, the majority of text analysis is now performed by ‘machines’ outside traditional humanistic domains. Text & Data Mining (TDM) applies machine learning in order to extract useful knowledge from from large collections of linguistic data. This workshop will showcase multiple techniques for building TDM tools based on the popular programming language Python.
Talk, SDU eScience Center, Odense, Denmark
Talk, Institute of Complexity Science and Big Data Technology, Guangxi University, Nanning, China