Resources

• Digging for Gold - Knowledge Extraction from Text

  EN

  This three-day international training school in Knowledge Extraction from Text from the CLS Infra project offered a crash course in how to “Dig for Gold” in a corpus of texts. From Stylometry to Natural Language Processing, learners will be able to follow along using 'plug and play' tools, while also getting a brief introduction to Python and R.

• Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 1)

  EN

  This is the first of a two-part lesson introducing deep learning based computer vision methods for humanities research. Using a dataset of historical newspaper advertisements and the fastai Python library, the lesson walks through the pipeline of training a computer vision model to perform image classification.

• Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 2)

  EN

  This is the second of a two-part lesson introducing deep learning based computer vision methods for humanities research. This lesson digs deeper into the details of training a deep learning based computer vision model. It covers some challenges one may face due to the training data used and the importance of choosing an appropriate metric for your model. It presents some methods for evaluating the performance of a model.

• Regression Analysis with Scikit-learn (part 2 - Logistic)

  EN

  This lesson is the second in a two-part lesson focusing on regression analysis. It provides an overview of logistic regression, how to use Python (Scikit-learn) to make a logistic regression model, and a discussion of interpreting the results of such analysis.

• Bridging the Sensory Gaps

  EN

  How would you as a person with deafblindness navigate the world – a world filled with navigation and mobility challenges, inaccessible information, and technologies that rely on the senses of sight and hearing?  In this talk, Nasrine Olson (PhD, Associate Professor) introduces the idea behind the formation of the Centre for Inclusive Studies at University of Borås and presents a few projects that have explored ways in which technology can be leveraged to level the playing field.

• Regression Analysis with Scikit-Learn (part 1 - Linear)

  EN

  This lesson is the first of a two-part lesson focusing on an indispensable set of data analysis methods, logistic and linear regression. It provides an overview of linear regression and walks through running both algorithms in Python (using Scikit-learn). The lesson also discusses interpreting the results of a regression model and some common pitfalls to avoid.

• Displaying a Georeferenced Map in KnightLab's StoryMap JS

  EN

  In this lesson from Programming Historian, you will learn how to display a georeferenced map from Map Warper in KnightLab's StoryMap JS, an interactive web-based map and storytelling platform.

• New Readers for Old Texts

  EN

  Digitised formats are immensely valuable for researchers but may seem dry and unappealing to broader audiences, particularly when the original content was intended for children. This talk presents the preliminary research conducted on digitised formats of popular children's literature found in specialised libraries.

• Finding Places in Text with the World Historical Gazetteer

  EN

  Researchers often need to be able to search a corpus of texts for a defined list of terms and historians are often interested in certain places named in a text or texts. This lesson details how to programmatically search documents for a list of terms, including place names and then how to obtain coordinates and map historical place names with the World Historical Gazetteer.

• Exploring Historical Newspapers in the Digital Age

  EN

  Newspapers are imperfect recorders of history, yet they are a key asset for historical research. This lesson deals with how digitised newspapers that are available online change the way historians use newspapers as historical sources, and ask new skills for applying source criticism.

• Performing Arts: Transitioning to the Digital Age

  EN

  The conference aimed to examine the possibilities of connecting information sciences and computer science with performing arts, focusing on three thematic blocks: archiving, artistic practices and scholarly research. The international scientific and professional conference is part of the project of the same name by the DARIAH-EU Working Group Theatralia, which is dedicated to the research of digital technology in the performing arts and the digitization of theatralia, financed from DARIAH-EU funds.

• Introduction to Knowledge Organization Systems

  EN

  Knowledge Organization Systems provide the foundation for searching and retrieving information objects across digital collections and cultural heritage information systems. Starting from case studies this course provides an introduction to knowledge organization systems and their practical application in research contexts.