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The Humanist's Guide to Data Analysis Basics

Veranstaltungsdaten

Event language: English

Many scholars today are inclined to use phrases like "a digital analysis of..." or "a digital approach to..." in their thesis abstracts or grant applications, hoping these terms will enhance the visibility and impact of their research projects. However, a significant number of researchers remain unclear about the true meaning of these terms. They may not fully understand the range of the digital methods of analysis available to the humanities, nor are they always aware of how to assess the relevance and applicability of these methods to their specific research questions.

This event provides a concise introduction to the diverse methods of digital analysis that can enrich research in the humanities. It also introduces the learners to basic Python syntax that can be used for implementing these methods in humanities research.

Qualification Outcomes 

• You will be equipped to determine whether and how digitalization and digital methods of analysis could be beneficial to your work.
• You will be able to identify the crucial steps in digital humanities research.
• You will be able to create a customized roadmap using the insights and skills gained from the event.
• You will be able to implement the Python programming language for data-driven research.

Methods

Presentation, group discussion of ongoing or intended research in the digital humanities, creation of posters and roadmap sketches using pen and paper, writing of basic Python scripts

Requirements 

Participants are encouraged to bring ideas for or sketches of their own ongoing or upcoming research in the digital humanities.
Participants should bring a device with an Internet connection.

Proficiency in English at the B2 level of competency or higher is required.

Date

December 9, 2025, 9 am–4 pm

Target group

Doctoral candidates and postdocs from the humanities and social sciences

Modalities

Maximum number of 10 participants
Internal 25 EUR
External 75 EUR

Registration

Please register until November 24, 2025 using the online registration form.
This event is offered as part of the MARA "Open Science" program.