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Alexander's research examines how algorithmic technologies reshape market exchange, professional practices, moral beliefs, and public perceptions of financial markets and public-sector organizations. His work sits at the intersection of economic sociology, science and technology studies, and the sociology of professions. He has a particular interest in understanding why certain algorithms fail to gain traction in markets despite clear technical feasibility and economic value. His doctoral research identifies the professional cultures, normative ideas, and ethical principles that are central drivers of the selective adoption of artificial intelligence in the life insurance industry. Currently, he is exploring the Danish public-sector AI infrastructure compared to Nordic countries, with a focus on the rollout of key national AI initiatives. Alexander is a postdoctoral researcher at Aalborg University. He holds a PhD in Economic Sociology from Copenhagen Business School, which included a research stay at Stanford University, and earned both an MSc and BSc in International Business and Politics from Copenhagen Business School. Alongside his research, he serves as a consultative expert for the European Insurance Occupational Pensions Authority.
Requirements apply generally to Master's programs across departments including Sociology, Business, and Engineering at Aalborg University.