Data visualisation looks at the different technologies and tools that a researcher can use to visualise their data and enhance the communication of their findings
EHRI (European Holocaust Research Infrastructure) supports the use of digital tools that can assist in the research of Holocaust and refugee related topics. In a continued effort to make these tools as accessible as possible so that researchers who have no experience with digital tools will consider trying new ways of using their data, this GitHub-based lesson showcases the use of entity match tools when dealing with geographic data.
Data is now an indispensable part of investigative work and storytelling for journalists and newsrooms. Computational methods and artificial intelligence are making their way to newsrooms more than ever before, and promise to open up new opportunities for journalists, as well as new challenges. This talk provides an overview of how data and Artificial Intelligence can be used in the journalism workflow, investigative reporting and storytelling.
The Fortunoff Visual Search is a tool for both data visualisation and collection discovery from the Fortunoff Video Archive for Holocaust Tesimonies. This blogpost demonstrates the Visual Search tool in the Fortunoff Video Archive, including the search and filtering interface, as well as interpreting the resulting visualisations
This blog discusses the applicability of services such as automatic metadata generation and semantic annotation for automatic extraction of person names and locations from large datasets. This is demonstrated using Oral History Transcripts provided by the United States Holocaust Memorial Museum (USHMM).
In the late 1930s, just before war broke in Europe, a series of chaotic deporations took place expelling thousands of Jews from what is now Slovakia. As part of his research, Michel Frankl investigates the backgrounds of the deported people, and the trajectory of the journey they were taken on. This practical blog describes the tools and processes of analysis, and shows how a spatially enabled database can be made useful for answering similar questions in the humanities, and Holocaust Studies in particular.
Geographical Text Analysis (GTA) is a relatively recent development in the approach to studying, analysing, and extracting the content of textual sources that offers a new method for combining techniques from Natural Language Processing (NLP), Corpus Linguistics, and Geographic Information Systems (GIS) in Humanities research. This module offers a step-by-step guide with real data, with a focused interest in querying the geographic nature of textual sources, and analysis of spatial information on a large scale.
How do we tell the story of humanities as the essence of understanding humankind in all its aspects and bring it back to the table as an equal partner of science? Seeking an answer to this question, this webinar (delivered as part of the DARIAH Friday Frontiers series) presents the scope and dissemination of the Queens of Humanities campaign that ran in 2022, led by OPERAS-PL. Its purpose was to promote innovative humanistic approaches and show their relevance in today’s world.
OpenCV is a very popular, free and open source software system used for a large variety of computer vision applications. This article is intended to help you get started in experimenting with OpenCV using an example of face detection in images as a case study.
This workshop, focussing on "Spatial data medieval to modern", is the first of a series of workshops from the NOS-HS project "Linking, Building, and Sustaining Humanities Digital Spatial Infrastructures for Research in the Nordic Countries". The main aims of this workshop were to define key concepts (spatial infrastructures, Linked Open Data, metadata, ontology), outline major challenges in the field, and to provide an opportunity to share experiences of addressing the issues in individual and national projects across the Nordic countries.
In this webinar from Friday Frontiers, Dario Rodighiero (University of Groningen) discusses visualisation and representation of scholarly knowledge. This presentation brings science mapping back to its original meaning by widening its context to arts and humanities with the help of design.
In this lecture from the Austrian Centre for Digital Humanities and Cultural Heritage (ACDH-CH), Miriah Meyer reflects on the question "why work with humanists as a computer scientist". She expands on how interdisciplinary collaborations with poetry scholars have shaped her own research thinking.
In this lecture from the Austrian Centre for Digital Humanities and Cultural Heritage (ACDH-CH), Björn Ommer discusses Visual Analytics's concern of how to teach machines to enable visuals to speak for themselves. Pointing out the current inadequacy of research tools in the humanities, Ommer discusses questions such as "How would research in the humanities benefit if computers could handle images just as competently as they presently process text?"
