The Methods Lab is the central unit for supporting, connecting, and coordinating the methods training and consulting at the Weizenbaum Institute. Besides assisting ongoing research projects of the research groups and units, the lab also conducts methods research and develops tools for the collection and analysis of digital data.
Latest Blog Posts
- Show and Tell: OpenQDA – A Sustainable and Open Research Software for Collaborative Qualitative Data AnalysisThe Methods Lab is eager to present the upcoming Show and Tell: OpenQDA—A Sustainable and Open Research Software for Collaborative Qualitative Data Analysis, scheduled for Monday, November 18th. This Show and Tell will be directed at the Weizenbaum Institute, but is also available to members joining online. Florian Hohmann with […]
- Special Issue: Open Research Infrastructures and Resources for Communication and Media StudiesDespite the advantages of accessible and reproducible research practices for scholars in media and communication research, few journals present opportunities to examine these resources. Therefore the journal of Media and Communication plans to publish a Special Issue on “Open Research Infrastructures and Resources for Communication and Media Studies” in 2026 to encourage […]
- Workshop: Research in Practice – Attending to Algorithms in and around Organizations (November 26, 2024)We’re excited to announce our upcoming workshop Research in Practice – Attending to Algorithms in and around Organizations, which will take place on Tuesday, November 26. This workshop will be conducted at the Weizenbaum Institute and is open to Weizenbaum Institute members. Led by Maximilian Heimstädt, Professor of Digital Governance […]
- New preprint article: Extracting smartphone use from Android event log dataWith smartphones now more prevalent in everyday life than ever before, understanding their use and its implications becomes increasingly necessary. While self-reporting in surveys is the method typically used to assess smartphone use, it is affected by various problems such as distorted retrospection, social desirability bias, and high aggregation. More […]