High Performance Computing Centre

Roskilde University

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Tag: PhD. project

  • Mixed methods approaches to detecting and analyzing communities on 4chan/pol/

    In Daniel Bach’s Ph.D. research using the advanced computational power of High Performance Computing (HPC) through UCloud, the research is able to delve into the vast textual content found within online communities, such as the anonymous imageboard 4chan’s politically incorrect (/pol/) section. On this platform, myriad posts, numbering into hundreds of millions, are continually generated, […]

  • How do Danish politicians in Folketinget respond to external shocks?

    By Nicholas Buhmann-Holmes, PhD Fellow, Roskilde University This PhD project looks at how politicians in Folketinget (Danish parliament) respond to external shocks. This is done by computational quantitative analysis of parliamentary debates from Folketinget from the early 1900s and onwards. The project focuses on how Danish politicians have responded to external shocks. The project looks […]

  • Addressing Climate Change with Big Data: A Machine Learning Approach to Green Public Procurement 

    Ph.D. student Bjarke Lund-Sørensen, Roskilde University, in collaboration with Professor Ole Helby Petersen and Associate Professor Lena Brogaard.  This project examines how governments utilize the great potential to reduce greenhouse gas emissions through public procurement from the private market. Public procurement is a slightly overlooked area in the debate on climate change. However, public procurement […]