Below is a non-exhaustive list of EURIDICE master theses results, delivered in the first semester of 2024, in the collaboratorium pilot Digital Society, Social Innovation and Global Citizenship. All theses have a strong societal orientation, using advanced, innovative digital technologies in a respectful, human-centric way, with concerns for the ethical implications, the contextual adaptation and the self-expressed end-user needs.
The master students have carried out their research projects independently, but with guidance from several EURIDICE partners. They have selected topics, inspired by their own contextual backgrounds and societal concerns. The interdisciplinary approach combines methodologies from various disciplines: Design Science, Participatory Action, Artificial Intelligence. The collaboratorium is the overall educational concept in which we work in hybrid international teams and address real world wicked problems, i.e. problems in complex settings, with no clear-cut answers. The work of students involves co-designing socio-technical solutions while discussing together, possible ethical implications and the expected societal impact.
Higher order learning outcomes — non-discipline specific competences — in terms of the LOUIS framework:
Creative thinking
Civic engagement
Global learning
Intercultural knowledge and competence
The master research projects were done at VU Amsterdam first semester of 2024, in an interdisciplinary, multicultural, collaborative setting. The theses have been elaborated and delivered under supervision of the ICT4D research team of VU Amsterdam, together with the SMEs AKMC, Babafla, SBC4D, and the associate partner universities UDS and UNIMAS, as a collaborative EURIDICE endeavor.
The full theses are available at request.
Marie-Lou David – Make the Bot Speak Your Language – Leveraging new technologies in a low resources environment to help rural communities market their products. Master Thesis Computer Science – ICT4D Vrije Universiteit Amsterdam, 2024. [PDF]
Marcel Stelte – Identifying bias against LGBT+ in software design – Literature study Computer Science. Digital Society & Global Citizenship, 2024 [PDF]. Selfstanding module.
Oleksandr Zakotianskyi – Explainable Probabilistic Forecasting of Conflict-Related Fatalities. Short research project. Computer Science Vrije Universiteit Amsterdam, 2024. [PDF] Selfstanding module.
Tom Siebring – Rain Detection in the West African Sahel using Deep Learing on Satelite Imagery. Master Thesis Computer Science Vrije Universiteit Amsterdam, 2024. [PDF]
Sachin Dhananjaya – Promoting Digital Health in India: Using Lightweight Language models for generating Electronic Medical Records – Master Thesis Computer Science – ICT4D Vrije Universiteit Amsterdam, 2024. [PDF]
Mehmet Berk Çetin – Evaluating the Effects of Digital Privacy Regulations on User Trust – Master Thesis Information Sciences – ICT4D Vrije Universiteit Amsterdam, 2024. [PDF].
Saman Khodadadi – Empowering Afghan Refugees in Iran: Harnessing ICT4D to Overcome Challenges and Foster Integration – Master Thesis Computer Science – ICT4D Vrije Universiteit Amsterdam, 2024. [PDF]
Ling Jin – Designing a plant disease detection system for Chinese and Global Agriculture, an AI4D research project – Master Thesis Computer Science ICT4D, Vrije Universiteit Amsterdam, 2024. [PDF]
Ohad Daniel – eHealth for the Bedouin Population in Southern Israel – Barriers and Proposed Solutions. Master Thesis Information Sciences, ICT4D Vrije Universiteit Amsterdam, 2024. {PDF]
Kairui Wang – An improved model for wheat diseases detection on small datasets. Master Thesis Computer Science ICT4D Vrije Universiteit Amsterdam, 2024. [PDF]
Farah van den Berg – Strategic Expansion of Mobile Technology for Community Health: An Inclusive Approach to Maternal Healthcare in Rural Ghana. Master Thesis Information Sciences, ICT4D Vrije Universiteit Amsterdam, 2024. [PDF]
Samuel Mojžiš ICT Solution for the Construction Permit Process in Slovakia. Master Thesis Computer Science ICT4D Vrije Universiteit Amsterdam, 2024. [PDF].
Chris Abear & Huseyin Olmez – Managing AI Disruption in Higher Education: Strategies and Theoretical Insights on Academic Integrity. Joint Master Thesis Information Sciences, ICT4D Vrije Universiteit Amsterdam, 2024. {PDF]