de / en

18.04.2024

10:00 Uhr - 15:00 Uhr | Room: A0_02, hybrid

Workshop for Module 2 (QPD): Research Ethics – Principles and Practice in Digitalization Research

In the age of digitalization and according research, new questions regarding research ethics arise. Be it when planning a study, during data collection, or when storing and analyzing data: It is important to ensure that ethical principles and guidelines are followed and kept up-to-date.

This workshop consists of three sections. 1) Christine Normann (WZB) will introduce participants to the principles and guidelines provided by the German Research Foundation (DFG), 2) Julian Vuorimäki (WI) will present the structure and tasks of the upcoming ethics board at Weizenbaum Institute, and finally, 3) scholars from different areas of digitalization research will present examples that revolve around ethical considerations, problems, and solutions in their research practice. Maximilian Heimstädt (HSU) will discuss ethical challenges in ethnographic research, which is the least amenable to formalization and standardization of all methods, and therefore poses particular challenges in terms of research ethics. Tiangling Yang (WI) will present some ethical considerations in doing qualitative research, discussing the main ethical challenges in her research, possible ways to address them, and the problems that cannot be solved well. The workshop is open to both QPD and external participants.


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Christine Normann is officer at the Presidential Department of Wissenschaftszentrum Berlin (WZB). She guided the development of an ethics codex at WZB and manages a lecture series about good research practice.

Julian Vuorimäki is research manager for open research at WI. He is responsible for the Open Access Publication Fund at the Institute.

Maximilian Heimstädt is Professor of Digital Governance & Service Design at Helmut Schmidt University (HSU) in Hamburg and affiliated researcher at Weizenbaum Institute.

Tianling Yang is a doctoral researcher in the research group “Data, Algorithmic Systems and Ethics“ at WI and at Technische Universität Berlin. She investigates the contexts and working conditions of the production of ML data, with a special focus on the contexts in China.