Data Analyst Assistant for TPM Research Landscape Visualization
2 weken geleden
Data Analysis and Visualization for TPM Research Landscape
We seek a motivated student assistant to help catalogue the research designs used in TPM research and education. This project involves applying qualitative content analysis along with natural language processing (NLP) techniques and tools to identify the research objectives, theories, and methods employed by our faculty.
In TPM's interdisciplinary environment, faculty members address various research objectives, including description, explanation, prediction, and evaluation. To achieve this, they draw on diverse theories from several research fields and utilize multiple modes of research inquiry, including argumentation, observation, simulation, intervention, and evidence synthesis.
A comprehensive understanding of how different objectives, theories, and methods are combined to create high-quality research designs can help strengthen the foundations of our bachelor and master courses/programs. Your responsibilities will include:
- Applying qualitative content analysis to faculty research
- Utilizing NLP techniques to identify and categorize research components
- Visualizing the co-occurrence of research objectives, theories, and methods in the dataset
This position is ideal for someone with prior knowledge of NLP and qualitative research. Familiarity with large language models is a plus. The expected commitment is 8-16 hours per week for a total of 320 hours. You will collaborate with Nihit Goyal, Marinke Sussenbach, and Haiko van der Voort during this project.
This is an opportunity to develop your skills while making a meaningful impact on education at TPM.
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