Former Fellows
Jeppe Agger Nielsen is a professor at the Department of Politics and Society at Aalborg University. He leads the research group Center for IT Management (CIM), and his research focuses on digital transformation and artificial intelligence from an organizational theory perspective.
During his CAISA fellowship, Jeppe has researched the use of artificial intelligence among SMEs and published a research brief on the topic.
Lucas is a research assistant at Aalborg University and researches digital technologies, learning, and collaboration.
In his CAISA Fellowship, Lucas researched how artificial intelligence can be used to support fair, consistent, and transparent judgment in oral examinations.
Stephanie is an assistant professor at the Centre for Social Data Science (SODAS), University of Copenhagen. She has a background in natural language processing (NLP), and her research focuses on human-centered explanability as well as the application of NLP in political science.
During her fellowship at CAISA, she researched how large language models (LLMs) can be used for voting guidance in connection with the 2026 Danish parliamentary elections.
Hannes is an associate professor of Health Economics at the Department of Economics at the University of Copenhagen, and Deputy Head of the Firms and Markets Department at DIW Berlin. His research examines how artificial intelligence shapes decision-making by influencing individuals’ information environments and incentives in healthcare and beyond.
As part of his CAISA Fellowship, Hannes has studied and engaged with the use of artificial intelligence in general practice, drawing on recent empirical evidence.
Ilker is a postdoc in the Language and Multimodal Processing Group at the Department of Computer Science at the University of Copenhagen. His primary research focuses on natural language processing (NLP), with a particular interest in pixel-based language modelling and multimodal learning.
As part of his CAISA Fellowship, Ilker researched how generative multimodal AI models moderate content about political and public figures. He maps biases across countries and models, contributing new insights into political bias in generative AI.
Agnete Meldgaard Hansen is an associate professor at the Department of People and Technology at Roskilde University. Her research focuses on care work in the healthcare and elderly care sectors, with a particular emphasis on how new technologies, including artificial intelligence (AI), influence care practices, relationships, and ethics.
As part of her CAISA Fellowship, Agnete examined the ethical implications of AI in elderly care and compiles existing knowledge into a practice-oriented research brief. Through interviews with municipalities and key stakeholders, she identifies and explores the ethical dilemmas that arise when AI is integrated into care work, contributing to a more nuanced and informed debate on responsible AI in Danish elderly care.
Anja is a professor of Media Studies and Director of DATALAB at Aarhus University. Her research focuses on how AI-driven algorithms shape collective behaviour and democratic processes, and she has played key roles in international expert groups on disinformation and digital democracy. She currently chairs the EU Code of Practice on transparency in AI-generated content.
As part of her CAISA Fellowship, Anja workied to finalize the EU Code of Practice, which will guide companies in complying with AI regulation and transparency requirements. The work involves ongoing dialogue with industry, civil society, and academia, as well as input from EU Member States and institutions ahead of its publication in June 2026.
Samuel Rhys Cox researches human-centred AI, with a particular focus on conversational agents and chatbots. His work explores how AI systems can be designed to support people in sensitive and reflective contexts, including health, well-being, and creative practices.
As part of his CAISA Fellowship, Samuel researched how the framing and presentation of a chatbot’s memory and data retention influence users’ comfort, privacy perceptions, and willingness to self-disclose.
Jun is an Associate Professor at the Center for Tracking and Society, University of Copenhagen, where he leads a Sapere Aude: DFF-Starting Grant project. His research explores the relationship between people and digital technologies, with a focus on datafication, management, and artificial intelligence from a comparative perspective.
As part of his CAISA Fellowship, Jun examined how AI benchmarks function as de facto infrastructures shaping the development of AI systems – not as neutral standards, but as sociotechnical practices influenced by power relations, institutional interests, and geopolitical ambitions. His work highlights how these benchmarks actively shape what is considered legitimate knowledge, performance, and progress in artificial intelligence.
