Faculty of Arts and Humanities
workshop on the analysis of Twitter data for Stiftung Wissenschaft und Politik (SWP)
Professor Jäschke and his team develop and optimize methods in the areas of Big Data and Machine Learning, especially in the aplication fields of Natural Language Processing, Social Bookmarking and Recommendation Systems. This includes the Collection (e.g. through focussed Crawling), Compilation, Annotation (e.g. by means of Crowdsourcing) and Curation of suitable records (data sets).
Further, it includes the Adaptation and Improvement of appropriate Algorythms (e.g. Named Entity Recognition, Classification, Clustering, Information Extraction, etc.) culminating in the development of web-based analysis platforms.
- Hadoop-Cluster
- GPU calculator
- diverse datasets
The research of Prof. Greifeneder and her team at the Chair of Information Behavior focuses on user research. She is particularly concerned with people’s search and user behavior when dealing with information or metadata both while using a traditional library as well as in fields such as digital libraries or research data. Key aspects of her work include the use of online survey methods and natural habitat research as well as securing the validity of data in a laboratory setting and in natural environments. Additionally, users’ private information sharing behavior and context research are central issues in Prof. Greifeneder’s research.
Prof. Greifeneder and her team employ qualitative and quantitative research methods of information science with a focus on user research. This includes survey design and implementation, both online and in the form of natural habitat research, interviews, case studies, experiments, scientific observation, focus groups and eyetracking. The Chair of Information Behavior boasts a modern research laboratory, the iLab:
- The iLab consists of two functionally differentiated rooms, connected with a door made of spyglass, that contain mobile desks (height can be adjusted electronically), swivel chairs, mobile partition walls, magnetic glass boards and a facilitator’s toolbox
- Technical equipment: beamer, cameras, microphones, mobile sound recorders, tablets, notebooks, smart watches and eye-trackers