Navigating interdisciplinarity (as a DH scholar)

Today’s post is something at the interface of rant and rambling. While I love being interdisciplinary, it’s also quite the hassle at times which is why I guess most interdisciplinary scholars sometimes wished they weren’t doing interdisciplinary work. There are so many negative stereotypes, like… “You have it easier being interdisciplinary” vs it’s actually twice the work So do you really think that we have it easier? I hate how we always get this reproach that we’re taking the easy route. Can somebody please explain to me what’s “easy” about having to follow the state of the art in multiple fields at the same time? And then not even knowing where to get published because scholars from discipline A don’t understand half of your research and the same in the other direction. I tend to be somewhat “too historical” for the Digital Humanities but then waaaay to technical for the “normal Humanities”. I think being in the DH and doing

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The most important book to read if you want to learn Digital Humanities, Computer Science, Maths, Programming or LaTeX

Today I wanted to share a tiny book review of the book I claim to be the most important book you should read if you want to learn any technical topic but are unsure if you are up for it. The book I’m talking about is not Donald Knuth (although his books are highly recommended, especially if you’re a (La)TeX nerd!). It’s not even a computer book! I’m talking about: Mindset: The New Psychology of Success by Carol Dweck (New York: Random House 2006). The fixed mindset versus the growth mindset This will be a short post because Dweck’s message is simple. There are two mindsets, the ‘fixed mindset’ and the ‘growth mindset’ and which one you have greatly impacts your success in learning and self-development. The ‘fixed mindset’ assumes your abilities and talents are fixed. Thus, you are proud of what you’re good at because you link it to your personality (“I’m a person who is good at…”). But

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The “Should I include Digital Humanities in my grant proposal?” Guide for Humanities people

Many Humanities scholars feel like you can’t get a project funded anymore if it doesn’t include DH. Some even ask me “Do I have to include DH to get funded?” Well, that answer lies outside of my expertise. I can, however, answer the probably even more important question of whether you should include DH in your grant proposal for the main purpose of improving your chances at getting funded. And if you decide to do so, how to do it right. In this post, I will give you my thoughts on the topic and also provide a checklist you might want to use to answer this question for yourself at the end. As I trust you have already figured out, I am not the person granting you funding neither am I in any way involved in the progress (at least as of now). So please take the thoughts I share here for what they are: my two cents. I’m just

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List of Resources for getting started with (teaching) digital methods

Having just attended a talk in an event on Digital Humanities and Neo-Latin, I was inspired to share a short list of introductory resources on DH, especially for teachers who feel more like Humanities scholars and don’t have tons of time to learn everything autodidactically. They can use those resources to learn for themselves and pass on this knowledge or pass on this link. But also, since you’ve found this blog, you’re already on a great path to learning DH! 🙂 I’ll try to keep this updated – and it’s not really done yet, so feel free to contribute. Discipline-independent DH dariahTeach: great MOOCs on many topics Source criticism in a digital age DARIAH-EU DH course registry EADH Courses List Digital Classics Article by yours truly in German: Digitale Lernplattformen und Open Educational Resources im Altsprachlichen Unterricht I. Technische Spielräume am Beispiel des ›Grazer Repositorium antiker Fabeln‹ (GRaF). It contains a few resources on digital resources and digital teaching, mostly

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Long-Term Twitter Strategizing: The Ninja’s “How to better promote your content on Twitter” Guide. Part 4

Twitter is an important professional networking platform for the Digital Humanities. But it’s not exactly self-evident how to make it work in your favour. This part explains long-term Twitter Strategy. This involves a few elements which might not seem so important at first but will be to keep your Twitter presence active and at a steady growth rate, without having to constantly put in lots of effort. This includes scheduled Tweets and using analytics and reflection to determine how to best cater to the interests of your followers. As some of you might remember, I did a Twitter Engagement Experiment at some time in autumn last year. Now I wanted to share my most important learnings, so you can make your Twitter presence more effective with just as little work as you want to put in. Actually, this was all just meant to be one post but it got so crazy long that I decided to make it into a

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Bio Engineering, Tweet Structure or How to lure your audience: The Ninja’s “How to better promote your content on Twitter” Guide. Part 3

Twitter is an important professional networking platform for the Digital Humanities. But it’s not exactly self-evident how to make it work in your favour. This part explains how you can improve the rate you’re gaining followers at by immediately providing them with reliable information about what value you provide for them. The best and quickest way to achieve that is by a one-time improvement session for your bio! If that’s not a life hack 😉 As some of you might remember, I did a Twitter Engagement Experiment at some time in autumn last year. Now I wanted to share my most important learnings, so you can make your Twitter presence more effective with just as little work as you want to put in. Actually, this was all just meant to be one post but it got so crazy long that I decided to make it into a series of digestible short posts. More Twitter Growth/Strategy advice 8) Set up your

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Retweet Bots and Hashtags: The Ninja’s “How to better promote your content on Twitter” Guide. Part 2

Twitter is an important professional networking platform for the Digital Humanities. But it’s not exactly self-evident how to make it work in your favour. This part explains all you need to know on retweet bots and hashtags. As some of you might remember, I did a Twitter Engagement Experiment at some time in autumn last year. Now I wanted to share my most important learnings, so you can make your Twitter presence more effective with just as little work as you want to put in. Actually, this was all just meant to be one post but it got so crazy long that I decided to make it into a series of digestible short posts. More Twitter Growth/Strategy advice 4) Use the power of (retweet) bots. During the last year, I have played around with bots or partly-automating retweeting on some Twitter accounts (like the epigrammetry blog’s Twitter) using bots. I created a feminist bot, a #100DaysofDH challenge bot, a #digiclass

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Improve your Twitter Strategy: The Ninja’s “How to better promote your content on Twitter” Guide. Part 1

Twitter is an important professional networking platform for the Digital Humanities. But it’s not exactly self-evident how to make it work in your favour. As some of you might remember, I did a Twitter Engagement Experiment at some time in autumn last year. Now I wanted to share my most important learnings, so you can make your Twitter presence more effective with just as little work as you want to put in. I will start with the basics and common advice you can find online in this first post and then add some more info and reflection on my personal experiment in the next one. Actually, this was all just meant to be one post but it got so crazy long that I decided to make it into a series of digestible short posts. This first one will start with the very Twitter basics and why you might want to start your own “Twitter Engagement” experiment. Am I back to

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“Learning LaTeX – Why should you care?” Series Part 1: Common Objections against learning LaTeX

Since some common objections why some people think learning LaTeX is not worth it or why the oppose LaTeX generally came up again in the Twitter discussion surrounding the recent post LaTeX for Philosophers? Logic and other Shenannigans, I quickly wanted to discuss the three most common objections agains LaTeX (in my experience) and why I think they’re not necessarily valid. Let’s get straight to it! 1) The “I can’t both be a good [insert job title/area of expertise here] AND spend time learning to code” aka the “LaTeX is hard to learn” objection A common argument used against LaTeX, not only in the Humanities, is “I already need all my energy being good at my job and now you want me to learn a new technology to distract me from it?”, like expressed in the following Tweet. But it’s really an extremely common one.  The argument is interesting to me because you also had to learn how to use

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The question of questions: Am I ‘techie’ enough for (a) Digital Humanities (degree)?

For the last two years, I had the responsibility to mentor master’s degree students in the Digital Humanities or to advise those interested in a DH degree. Today I wanted to discuss the most frequently asked question and that is: “Am I ‘techie’ enough for (a) Digital Humanities (degree)?” and partly also “How much math is there in a DH degree?”. This is my Christmas present to you. I’m hoping to do something LaTeX-related again soon but LaTeX templates are currently a go-to relax thing for times when I really need relaxing. And feeling obliged to write about that takes the fun out of it for me at the moment, so sorry, yet another DH post for now. Let’s get straight to it. Part of this post consists of the text of an informational video I made in my responsibility as a mentor for the DH degree programm in Graz. You can watch the video instead, if you like. However,

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Where can I *actually learn* programming? (as DH and otherwise)

To my great surprise, lots of people regularly ask me where I learned to program. I have lots of posts on the subject and even multiple categories on the blog concerning the topic but maybe they’re “too disguised” under obscure titles for willing learners to actually find them. So I decided to give you a short summary with the key takeaways of what I’ve written on the topic so far and the most important links – boths to my other detailled blogposts and also on the resoures I would recommend as of now. However, before the “short summary” of takeaways and suggestions for willing learners, let me start with a deep dive into the very personal side of the question “Where did you actually learn to program?”. Now where did I actually learn to code? A Disclaimer To answer the question “Where did I actually learn to program?”, we need to talk about my journey first. And.. Well, in order

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I finally finished my own #100DaysofDH – Here’s the wisdom!

Like the title says, I finally finished my own #100DaysofDH challenge. And I haven’t kept my promise to you guys. I (think I) said I would continue blogging every second week but now I’ve left you hanging for a whole month! I’m so sorry. I will try to get back into a regular posting schedule (still reduced until the dissertation is done but I’ll try to at least post every once in a while). Anyways, as I’m nearing the end of my #100DaysofDH challenge (and having declared myself as the worst challenge founder ever in history), I’m starting to get philosophical and the wisdom is coming in. Since I couldn’t deprive you of that, here it comes. (It really isn’t that bad, actually!) Wisdom 1: Read error messages, it works! This one is kind of self-explanatory but once you’re in those long coding sessions, you sometimes forget to do the most obvious stuff. I just recently coded on some stuff

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Machine Learning for the Humanities: A very short introduction and a not-so-short reflection

Machine Learning is one of those hot topics at the moment. It’s even starting to become a really hot topic in the Humanities and, of course, also in the DH. But Humanities and Machine Learning are not the most obvious combination for many reasons. Tutorials on how to run machine learning algorithms on your data are starting to pop up in large quantities, even for the DH. But I find it problematic that they often just use those methods, just show you those few lines of code to type in and that’s it. Frameworks have made sure that ML algorithms are easy to use. They actually have a super-low entry level programming-wise thanks to all those libraries. But the actual thing about ML is that you need to understand it or it’s good for nothing. (Ok, I admit there are some uses which are pretty straightforward and don’t need to be fully understood by users, such as Deep Learning powered

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Easy and quick strategies to #scicomm your DH project

Your digital project is great, I’m sure of that – but does it even exist if nobody knows about it? Science communication is the answer to avoid this philosophical dilemma. In this short post, I wanted to share a list of quick-and-easy-to-implement ideas to add some science communication to your projects. This is just a short post to give you some ideas, not tutorials on how to do it. However, I am open to any tutorial requests you might have on the topics involved. As for the Twitter bot, there is a short post available already. So let’s get to it! Quick and easy strategies to #scicomm your DH project Create a better / thematic / facetted search interface. Maybe people aren’t using your data because the interface is not intuitive and they can’t find things or don’t know what to look for and where to look. This is the basic building block to build all the following things on.

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Create your Tweepy/AWS-powered Twitter bot in a day

This post wants to convince you to try out creating a Twitter bot using Python Tweepy and AmazonAWS Lambda because it’s easy and fun. Of course, you can use any other utilities but Tweepy and AWS Lambda are the ones I tried. This is not a full tutorial but I can make one if anyone is interested. Inspired by the #100DaysofDH challenge In this post, I will just give you some basic Twitter knowledge, links for what you need to know to get it done and a link to the github of my #100DaysofDH challenge for which I implemented such a bot. If you want more guidance, please let me know. Also, read the post on the challenge because I noted down some restrictions I realized the Twitter automation guidelines impose on bots as I went along. In my example, I think I’m in fact doing one or two things which you actually shouldn’t do (I think bots shouldn’t like

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