• Digital Humanities and Cultural Heritage
• 2013-2022close
• Other research products close
• NARCIS close

Website of the Eep Talstra Centre for Bible and Computer (ETCBC), with project descriptions, news and monthly blogposts

Reflection on the process towards and around the publication 'Ebifananyi VII, Staying Alive - documenting the Uganda Cancer Institute' by medical historian Marissa Mika

Ebifananyi 4, based on the Ham Mukasa Foundation Archive that HIPUganda digitised, has had several exhibition versions. This one puts a strong emphasis on the works produced by Ugandan artists and Dutch and Ugandan art students for the project. In this other exhibition creating an opportunity to explore Mukasa’s stories through various images and objects was the lead. See this short film for thoughts on the translation of the title of Ham Mukasa’s book on the three Kings; Simuda Nyuma, and the Luganda word Ekifananyi by curator Robinah Nansubuga and Artist Nathan Omiel. Participating artists in this exhibition are Achola Rosario, Eria Nsubuga, Fred Mutebi, Ian Mwesiga, Lwanga Emmanuel, Nathan Omiel, Papa Shabani, Sanaa Gateja and Violet Nantume. The Ugandan students followed Eria Nsubuga’s painting course at Uganda Christian University in Mukono, while the Dutch students were part of an elective I taught under the name ‘Illustrating (for) others’ at Academy Minerva in Groningen.

Biomolecular Sciences: uniting Biology and Chemistry www.rug.nl/research/gbb The scientific discoveries in biomolecular sciences have benefitted enormously from technological innovations. At the Groningen Biomolecular Science and Biotechnology Institute (GBB) we now sequence a genome in days, construct thousands of mutants, assemble novel pathways, compute the motions of and within molecules, and visualize single molecules and cells by electron and advanced fluorescence microscopy. The GBB was founded in 1992, but the history of biomolecular sciences in Groningen dates back to much earlier times, arguably starting with the appointment of Max Gruber as the first professor in Biochemistry in 1956. The GBB was established to unite the excellent research on biomolecules and cellular systems within the disciplines of Biology and Chemistry, providing a platform for multidisciplinary training of postdoctoral fellows and (under)graduate students. Since 1993, the GBB has been accredited as a Dutch research school by the Royal Netherlands Academy of Arts and Sciences and successfully performs to these standards for 25 years.

Increasingly code and algorithms are techniques also applied in textual scholarship, giving rise to new interactions between software engineers and textual scholars. This book argues that much of that process and its effects on textual scholarship are still poorly understood and go unchecked by otherwise normal processes of quality control in scholarship such as peer review. The text provides case studies in which some of these interactions become more apparent, as well as the academic challenges and problems that they introduce. The book demonstrates that the space between code creation and conventional scholarship is one that offers many affordances to textual scholarship that until now remain unexplored. The author argues that it is an intellectual obligation of programmers and textual scholars to examine the properties of digital text and how its existence changes and challenges textual scholarship.

This is part 4 of the Rchon statistics course. It continues the basics of statistical testing in R. In this tutorial, we will treat the following statistical testing methods: Mann-Whitney test Kruskal-Wallis test Kolmogorov-Smirnov test Follow the instructions in Instructions Tutorial 4.pdf to start the tutorial. This course was originally created for Archon Research School of Archaeology by Philip Verhagen (Vrije Universiteit Amsterdam) and Bjørn P. Bartholdy (University of Leiden), and consists of an instruction, a tutorial, a test and two datafiles. All content is CC BY-NC-SA: it can be freely distributed and modified under the condition of proper attribution and non-commercial use. How to cite: Verhagen, P. & B.P. Bartholdy, 2022. "Rchon statistics course, part 3". Amsterdam, ARCHON Research School of Archaeology. https://doi.org/10.5281/zenodo.7458108

Background: Searching through the COVID-19 research literature to gain actionable clinical insight is a formidable task, even for experts. The usefulness of this corpus in terms of improving patient care is tied to the ability to see the big picture that emerges when the studies are seen in conjunction rather than in isolation. When the answer to a search query requires linking together multiple pieces of information across documents, simple keyword searches are insufficient. To answer such complex information needs, an innovative artificial intelligence (AI) technology named a knowledge graph (KG) could prove to be effective. Methods: We conducted an exploratory literature review of KG applications in the context of COVID-19. The search term used was "covid-19 knowledge graph". In addition to PubMed, the first five pages of search results for Google Scholar and Google were considered for inclusion. Google Scholar was used to include non-peer-reviewed or non-indexed articles such as pre-prints and conference proceedings. Google was used to identify companies or consortiums active in this domain that have not published any literature, peer-reviewed or otherwise. Results: Our search yielded 34 results on PubMed and 50 results each on Google and Google Scholar. We found KGs being used for facilitating literature search, drug repurposing, clinical trial mapping, and risk factor analysis. Conclusions: Our synopses of these works make a compelling case for the utility of this nascent field of research.

This is part 2 of the Rchon statistics course. The purpose of this tutorial is to extend the application of R from basic data analysis and visualisation to formal statistical testing. In this tutorial, we will treat the following statistical testing methods: t-test ANOVA Further testing methods (including chi square test, Mann-Whitney and Kruskal-Wallis test) will be treated in part 3 and 4 of this course. Follow the instructions in Instructions Tutorial 2.pdf to start the tutorial. This course was originally created for Archon Research School of Archaeology by Philip Verhagen (Vrije Universiteit Amsterdam) and Bjørn P. Bartholdy (University of Leiden), and consists of an instruction, a tutorial, a test and four datafiles. All content is CC BY-NC-SA: it can be freely distributed and modified under the condition of proper attribution and non-commercial use. How to cite: Verhagen, P. & B.P. Bartholdy, 2021. Rchon statistics course, part 2. Amsterdam, ARCHON Research School of Archaeology. doi: 10.5281/zenodo.5155471