to enable the individual researcher to develop and lead a research project that uses digital technologies throughout the data life cycle
to create interdisciplinary research environments that build experience with these technologies and can therefore contribute to existing core academic environments based on a train-the-trainer model for knowledge sharing and competence development
to empower participants to develop a prototype for a research project sufficient to form the basis of a research article or fund application, their research and later, teaching.
Due to the exponential growth of data, knowledge of computational techniques for the entire data life cycle (planning, collecting, processing, analysing, depositing, publishing) has become a necessity for all disciplines in the humanities and social sciences.
DL is an intense project-oriented course that aims to enable the individual researcher to use state-of-the-art computational techniques and digital methods in their research. Through a series of workshops, tutorials and sprints, DL participants will become capable of formulating and directing a research project using digital technologies, e.g. artificial intelligence, databases and web-scraping, to pursue core academic issues.
The online workshops will introduce participants to different digital methods and technologies and provide inspiration as well as hands on experience. Zoom links and further info on each workshop is sent to participants by email.
If you have any questions, check out our FAQ (Frequently Asked Questions) at the bottom of this page. If your question is not answered in the FAQ, contact email@example.com for general questions and firstname.lastname@example.org for technical questions. If you’re a group of people, book an orientation meeting as described above.
If there’s a group of researchers that are interested in the DL course at your university, you have the option to book a 1-hour orientation meeting (Zoom) with Mads Rosendahl Thomsen and Kristoffer Laigaard Nielbo who’ll answer your questions about the course. Get in touch at email@example.com to set up the meeting. See the slides from the previous orientation meeting below:
The course is open for humanities and social science researchers from Aalborg University, Aarhus University, Copenhagen Business School, University of Copenhagen and University of Southern Denmark.
Please prepare the title of your project and a 150-200 words description of the data and research question you intend to work on.
All participants must formulate a research question they are working on during the process (this can be done in pairs) and point to a data set that can be used to answer the research question. Participants do not need to have the data set ready for the course.
The course is free of charge if you are affiliated with one of the participating institutions*, and if your application is accepted.
*The participating institutions are Aalborg University, Aarhus University, Copenhagen Business School, University of Copenhagen and University of Southern Denmark.
The course includes two two-day seminars, 5-6 workshops, individual project support and sparring with colleagues.
The course will have various locations in Denmark. The kickoff seminar will take place at Sandbjerg Gods.
Yes, PhD students are more than welcome to apply for a spot in the course.
You’re always welcome to get in touch with us at firstname.lastname@example.org with any questions you may have.
You’re also welcome to take a look at the cases further up on this website to get an idea about the accepted projects from the previous course.
If you’re a group of researchers, you’re also welcome to set up an online meeting with the organisers to get a broad introdution to the course and to sort out questions.
We’re looking forward to receiving and reviewing your application.
You are expected to participate in as many meetings as possible because an important component is sparring with colleagues. However, if you should be prevented from attending a meeting on-site, there’ll be an option to participate online. You are expected to participate in 2/3 of all meetings as a rule of thumb.
The individual support will be 15 hours per participant on average (including the tasks that the supporters will solve for you on their own, i.e. while you’re not sitting together and working).
No, there is no test at the end of the course. We are planning to host a closing seminar with project presentations from each participant.
The application deadline has been extended to June 8, 2020.
Acceptance to the course will be announced on June 15, 2020.
When you send your application, you will receive a confirmation e-mail.
If you don’t, then get in touch with email@example.com.
DIGHUMLAB will use the information you provide on this form to be in touch with you and to provide updates on the Digital Literacy course. You can withdraw your consent at any time by contacting us at firstname.lastname@example.org. We will treat your information with respect.
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