In addition to the senior research group, ETHOS Lab is also comprised by a group of talented junior researchers, who work on research projects in the lab and assist with daily operations. See the team of junior researchers below!
Project: "Local speech recognition as work practice". Alona is a 3rd semester DIM student who works with Silja to investigate the use of speech recognition technology (SRT) in Denmark. Their work is ethnographic with focus on implementation. How do municipalities use the technology, and how is the implementation considered either a success or a failure? How is speech even considered or understood as data?
Project: "Anonymizing datasets to protect data subjects and preserve analytical value". Viktor is writing is bachelor in GBI studies, and doing his JR project as part of it. He is investigating the complexities of how and why particular data is anonymized and made available for analysing. He is also asking what is regarded as anonymous data, and examining various cultural, ethical, financial, and technical factors.
Project: "Tool development for digital methods". Per is a 3rd semester DIM student, who's a junior researcher for the 2nd semester in a row. Per is looking to develop more user-friendly tools for digital methods exploration. Per focuses on Fake news production and how digital methods tools can be used in mapping the phenomenon.
Project: "The role of trust in AI-human interaction" Stefania is a 3rd semester DIM student working on a project involving ethnographic experimentation with an AI artifact. THe goal is to explore how humans interact with AI and make ethical choices based on particular scenarios. The subject is trust, and the question of how we can trust AI, and how that trust is defined.
Dana Marie Yu
Project: "Categories in personal data analysis and training of algorithms" Dana is working on a project on the SDT design track as a 2nd semester student. She's interested in traning of algorithms. Can algorithms be less biased? In her JR Project she is investigating existing categories pervading personal data analysis collected by giant tech companies like Google and Facebook through software. How do these categories directly or indirectly impact the training of the algorithms in machine learning?
Project: "Local speech recognition as work practice". Silja is a 3rd semester DIM student who works with Alona to investigate the use of speech recognition technology (SRT) in Denmark. Their work is ethnographic with focus on implementation. How do municipalities use the technology, and how is the implementation considered either a success or a failure? How is speech even considered or understood as data?
Project: "Personal Assistance through speech recognition". Anette is a 3rd semester DIM student working on a participatory ethnographic study across computational data and observation of human-computer interaction. The case of context is a two-way conversation with the Google Allo Assistant to look at the personalisation of speech recognition