The goal of hermA is to set the ground for a larger project in the digital humanities and to prepare a follow-up project proposal accordingly. In its first funding phase (2017–2020), hermA will explore its general research questions on the basis of use cases that are investigated in five subprojects.
Dystopia as genre (literary studies)
Annotation and the exploration of genre patterns. Medical engineering in dystopias
The project pursues two goals: (1.) The analysis of dystopic texts with methods of digital humanities under the question of how (semi-) automated annotations the analytical evaluation (both specifically thematically and abstract genre-related) of a literary text can support. (2.) In the hope that genre-relevant text properties can be determined by automated annotations, it will be examined by way of example to what extent literary texts can be identified as dystopias via automated processes.
Prof. Dr. Margarete Jarchow, Institut Humanities, Hamburg University of Technology (PI)
Dr. Oliver Schmidt, Institut Humanities, Hamburg University of Technology (Research Assistant)
Michael Vauth, Institut Humanities, Hamburg University of Technology (Research Assistant)
Student Assistant: Daniel Klein (10/2017 - 09/2018)
Gender and Illness (literary studies)
Annotation of gender-specific presentation of illness in literary works
We annotate and analyze a corpus of literary texts from the period 1890-1920. The focus is on the description of illness from a gender perspective. We investigate if and how the representation, the perception and the handling of illness differs depending on gender.
Prof. Dr. Evelyn Gius, Institute for Language and Literature, Technische Universität Darmstadt (PI)
Student Assistant: Carla Sökefeld
Decisions at the end of life (nursing science)
Annotation of meaning representations in crisis-laden health care situations
The nursing science subproject examines different levels of hermeneutic analysis, including the interpretation of special word frequencies and emotions as well as the advantages and challenges for seeking semi-automatic analysis steps. For this purpose indepth semi-structured repeated dialogue will be conducted with critical ill and dying people (n=15). Focus of those dialogues is the decision making experiences and its meaning in the health care process. The data will be analysed by nursing reseracher and these results will be compared to the results of a semi-automatic system.
Prof. Dr. Uta Gaidys, Department Pflege und Management, Hamburg University of Applied Sciences (PI)
Anke Begerow, Department Pflege und Management, Hamburg University of Applied Sciences (Research Assistant)
Acceptance of telemedicine (cultural anthropology)
Automatizion potentials of hermeneutic processes in discourse ethnography dealing with acceptance challengens of telemedicine
The cultural anthropological subproject analyses the potentials of automated annotation within hermeneutic processes for discourse ethnography. One approach is the identification of challenges regarding the acceptance of telemedicine. Secondly, possibilities of automatization within this hermeneutical approach are scrutinized, starting with annotation as a practice. Annotations are used in the process of systematic data collection when putting together the corpus to be analysed. A particular challenge inherent to annotation automatization using an abductive approach and Grounded Theory to guide the proceeding lies in the process of research being little standardised.
Prof. Dr. Gertraud Koch, Institute of European Ethnology / Cultural Anthropology, Universität Hamburg (PI)
Dr. Lina Franken, Institute of European Ethnology / Cultural Anthropology, Universität Hamburg (Research Assistant)
Student Assistants: Susanne Hochmann, Darina Hashem
(Semi-) Automatic support of annotations (computational linguistics)
Exploitation of imperfect manual and automatic annotation for research questions in the social sciences and the humanities exemplified for the health care domain
The computational linguistics and informatics subproject conducts research into automation potentials of textual analyses in humanities and social sciences using existent tools and methods. One focus is on the utilization of linguistic annotation for the identification of phenomena interesting in such disciplines, as well as dealing with data sparsity issues. In addition, it supports the other subprojects in acquiring, processing, and analyzing data, being responsible for the technical aspects of automatizing the analyses.
Prof. Dr. Wolfgang Menzel, Department for Computer Science, Universität Hamburg (PI)
Prof. Dr. Heike Zinsmeister, Institute for German Language and Literature, Universität Hamburg (PI)
Benedikt Adelmann, Department for Computer Science Universität Hamburg (Research Assistant)
Melanie Andresen, Institute for German Language and Literature, Universität Hamburg (Research Assistant)
Student Assistants: Markus Herzberg, Lea Röseler, Lisa Seidel, Sarah-Lisa Winter