Junior Researcher projects fall 2017

This page will be updated with the blog posts from our Junior Researchers in the fall semester 2017. Their research touched upon a broad range of topics from blockchain technology and fake news to using text mining on the Financial Statements. Some of the projects were thesis dissertations, but many of the students are continuing their role Junior Researcher in the spring semester 2018. 

Alona Shevchuk


alsh@itu.dk
Project:
Alona is a 3rd semester DIM student and she is working together with Anastasija on a project that aims to explore the general data protection regulation, asking how and in what ways it may affect specific companies? The project is a pilot for their thesis.

Anastasija Jakovleva


anas@itu.dk
Project:
Anastasija is a 3rd semester DIM student and she is working together with Alona on a project that aims to explore the general data protection regulation, asking how and in what ways it may affect specific companies? The project is a pilot for their thesis.

Benjamin Olsen


bsto@itu.dk
Blog post:
Machine Learning for legal interpretations of annual reports regarding gender equality
Project: Benjamin is a 4th semester DIM student and he is currently writing his thesis together with Junior Researchers Niels, and Per. Their thesis explores whether financial statements from Danish companies report in accordance with the Financial Statements Act on the underrepresented gender (§99B). Using text mining/machine learning techniques (e.g. LDA, doc2vec, word2vec) to analyse content of the annual reports, focus is on the issues arising from the automated reading of such reports in relation to decision-making.

Jesper Henrichsen


jeshe@itu.dk
Project:
Jesper is a 3rd semester SDT student and his project is a quest to map out how fake news travel geographically, digitally and what patterns can be scaled and emerge in different visualisations.

Mette Størup


mlst@itu.dk
Project:
Mette is a 4th semester DIM student and she is writing her Master's thesis on the theme of blockchain in the context of the danish energy sector. She is using theory building to explore user adaption of blockchain technology.

Mirela Sandu


mirs@itu.dk
Project:
Mirela is a 3rd semester DIM student and as a pilot project for her thesis she is exploring the theme of Digital Labour. She asks how new forms of data are used as a basis for decision? Her focus is on how user classifications can be based on interests rather than demographics.

Niels Helsø


nish@itu.dk
Blog post:
Machine Learning for legal interpretations of annual reports regarding gender equality
Project: Niels is a 4th semester DIM student and he is currently writing his thesis together with Junior Researchers Benjamin, and Per. Their thesis explores whether financial statements from Danish companies report in accordance with the Financial Statements Act on the underrepresented gender (§99B). Using text mining/machine learning techniques (e.g. LDA, doc2vec, word2vec) to analyse content of the annual reports, focus is on the issues arising from the automated reading of such reports in relation to decision-making.

Per Nagbøl


pena@itu.dk
Blog post:
Machine Learning for legal interpretations of annual reports regarding gender equality
Project: Per is a 4th semester DIM student and this is his 3rd semester as a Junior Researcher. This semester Per is writing his Master's thesis together with Junior Researchers Benjamin, and Per. Their thesis explores whether financial statements from Danish companies report in accordance with the Financial Statements Act on the underrepresented gender (§99B). Using text mining/machine learning techniques (e.g. LDA, doc2vec, word2vec) to analyse content of the annual reports, focus is on the issues arising from the automated reading of such reports in relation to decision-making.

Silja Vase


sive@itu.dk
Project:
Silja is a 3rd semester DIM student and she is building on her Junior Researcher project from last semester where she investigated the use of speech recognition technology (SRT) in Denmark. This semester she is exploring how speech recognition technology can be used as a medium to create collaborative citizen logs with the municipalities during meetings.

Susan A. Go-Deos


sugd@itu.dk
Project:
Susan also studies DIM and her project is a pilot for her Master's thesis. She explores the topic Telemedicine with the intention of developing a crawler to map out which hospitals and companies use telemedicine. Asking which technological and ethical issues and future predictions arise in the process?