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Dr James Rogers explains how we can draw parallels between the current COVID-19 pandemic and the Second World War, particularly in how humans have responded to an extraordinary challenge.

In the past few months more than a billion people have faced restrictions unlike any seen before. Shops are closed; the death toll is rising; people across the globe have been forced to rise to an extraordinary challenge. But it is important to remember that humans have experienced pandemics before. In this documentary Dan Snow explores some of these previous pandemics and what they can teach us about Covid-19. He talks to Dr James Rogers about what lessons we can learn from WW2.

Historian and broadcaster James Rogers joins us to give a breakdown of the weapons that he believes are the most significant in the history of civilisation, spanning from ancient times to the modern day.

Over the covid-19 lockdown period, Dr James Rogers worked with history teachers and academics to keep the learning going in lockdown. He now has a fantastic range of videos and podcasts available. All content is free to access and is explicitly designed to help teachers and students undertake A-Level and GCSE history revision.Podcast - Slavery and Emancipation in the United States, with Dr Cathrine Armstrong.Podcast - The History of Terrorism - The IRA, with Professor Caroline Kennedy-Pipe.Video - The Rise of Hitler - Hitler, Power, and War, with Ms Laurie Matthews.Video - The Home Front in WW2 - The Butterfly Bombing of Grimsby, with Dr James Rogers.

Online review of The Tesserae Project, a resource that seeks to take advantage of digital corpora to enable the user to find connections between texts. Its web interface allows users to search two texts or corpora from Greek and Latin literature for occurrences of two or more shared words within a line or phrase.

An R-script for simple visual and/or numeric dispersion analysis of singular text files (beta version). The coding in this version is terrible and not elegant at all by the way.

A simple R-script for the generation of LNRE-based lexical growth curves (beta version). The coding in this version is terrible and not at all elegant.

Dispersor is a very simple script that can help you make dispersion plots. Dispersion plots are a simple way to get an idea of the distribution of a single word or a string, or cluster, of words in one text. Dispersion plots can be used in both Text Linguistics and (Digital) Literary Studies as well as text-based Digital Humanities more generally. Dispersor contains codes from Jockers (2014) and draws inspiration from codes in Gries (2009).ReferencesGries, Stefan Th. (2009). Quantitative Corpus Linguistics with R: A Practical Introduction. London: Routledge.Jockers, Matthew L. (2014). Text Anaysis with R for Students of Literature Heidelberg: Springer.Dispersor is a very simplistic program, and there are much more advanced programs for R out there that can make complex dispersion plots. However, the simplicity of Dispersor makes it suitable if you ONLY want a simple dispersion plot and nothing else. I envisage that it can be used by undergraduate students at AAU (and elsewhere) in student projects and teachers of basic courses in quantitative text analysis and quantitative discourse analysis. Then they can move on to more advanced and complex programs when they are ready.NOTE: There may be a bug when you have to chose the text file for analysis. If a warning pops up telling you that a file does not exist and asking you if you want to create it, just click no, and you should be able to select the file you want to analyze.