Anders Kristian Munk
Professor
Department of Technology, Management and Economics
Technology and Business Studies Division, Human-Centered Innovation Section
Produktionstorvet
Building 424 Room 230
2800 Kgs. Lyngby
Danmark
Computational Anthropology Digital Methods Emerging Technology Controversy Mapping Social Acceptance Public Engagement
Anders Kristian Munk is Professor of Computational Anthropology in the Section for Human-Centered Innovation at DTU Management. His research focuses on controversies about emerging technologies, particularly about artificial intelligence and the green transition. Over the past decade, he has worked to integrate computational methods into more qualitative traditions. In that capacity, he has co-founded the Public Data Lab, The Techno-Anthropology Lab, and MASSHINE (Aalborg University's hub for computational social science and humanities), the latter two of which he has also directed. He holds a D.Phil. in Geography from the University of Oxford and has been a senior visiting researcher at the SciencesPo médialab in Paris. Anders is the co-author of "Controversy Mapping: A Field Guide" (Polity Press, 2021) and "Digitale Metoder" (Hans Reitzel, 2017). His current research projects focus on controversies about artificial intelligence, transnational digitalization, creatively acceptable AI, energy islands, and climate expertise. He is particularly interested in the way generative AI and large language models can help us map such discussions in new ways and potentially also model actor positions that are very different from our own to better understand their perspectives. He has previously researched controversies about immunization schemes, wind turbine planning, climate adaptation, the new Nordic cuisine, flood risk management, obesogenic environments, and the COVID-19 lockdown. A continuous interest throughout these projects has been the role of social platforms and digital media in shaping online public conversation. He has also been a key contributor to the development of the data sprint format and participatory methods for involving stakeholders in the datafication, analysis, and visualization of their respective matters of concern.