Category: QPD
The Methodological Potential of LLMs for Social Science Research
Large Language Models (LLMs) have attracted considerable attention due to their powerful and versatile capabilities across a wide range of fields. But what opportunities do they present for the research process? This one-day…
Scientific Data Visualization
This workshop introduces researchers at any career level and students to effective scientific data visualization. Led by Ansgar Hudde, sociologist at the University of Cologne, the session explores how visualization not only…
The power of rules in the age of digital transformations: Understanding EU rules on DSA and DMA
In recent years, the European Union has enacted a series of important rules on digital services, markets, data and AI. Understanding the texts, their origins, and impact can help understand the normative dynamics of digitalization…
Agentic AI for Practical Research
Date: 24.09.25 Time: 10-12 und 14-16 Uhr Speaker: Severin Kacianka from fortiss Course language: English Previous experience: Having worked with data of all sorts; also otherquestions and problems that might be tackled by applying…
Copyright in Academia
Date: 02.12.2025 Duration: Four hours, 9am-1pm Course language: English Subject of the course: Basically German law, but much of the law is influenced by European law or international law, i.e. the main features are also applicable…
Understanding instead of measuring – insights into qualitative methods
Qualitative research methods play a particularly important role in interdisciplinary digitalisation research. They capture the subjective perspectives, experiences and attributions of meaning of the actors involved and thus…
From Awareness to Action: Addressing Discrimination and Power in Academia
Academia is deeply intertwined with power structures and discrimination, shaping not only institutional cultures and career trajectories but also research theory and methodologies. This interactive workshop will critically…
The interdisciplinary advantage: Rules for Team and Career Growth
In this interactive workshop, participants will learn practical strategies for interdisciplinary research (IDR) and team collaboration to foster professional growth in interdisciplinary fields. Through real-world examples and hands-on…
Social Science and Language Models – Methods and theory to responsible research on and with Language Technologies
As methodology utilizing language models is increasingly applied to a variety of contexts from social science, health-care settings to computer software development, research suggests a growing need to monitor potential biased…
Thinking like a …
Content: Interdisciplinary work is hard: scientists from other disciplines have different problems, use different terminology, pursue different pathways to a solution and have different criteria for what makes a good solution.