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As a PhD researcher, Kate Kondrateva studies how AI can improve the reliability of brain scans, and brought her findings to life in a prize-winning dance.

Through collaboration with Studio Europa Maastricht, Katleen Gabriels turned her research on children and Snapchat into a policy brief connecting academia and policymakers. The initiative shows how UM structurally translates research into societal impact in Brussels, The Hague and beyond.

Principal components analysis (PCA) is a common unsupervised method for the analysis of gene expression microarray data, providing information on the overall structure of the analyzed dataset.

In our new Episode of the DSMINDSETS podcast, we invited Prof. Anda Iamnitchi to talk with us about her research. She recently started a new position as Chair of Computational Social Sciences at the Institute of Data Science at Maastricht University.

DATASET researchers from Maastricht University (BISCI) and Fontys applied the Digital Readiness Scan developed by Logistiek Digitaal to several regional logistics service providers, scientifically validated the underlying methodology, and analyzed the strengths and weaknesses of this tool.

Studium Generale | Students Visit Dance

Amoozeidi, S., The WTO Dispute Settlement System as a Legal Impediment to Iran’s Accession to the WTO (2017)

Kate Kondrateva, PhD candidate at Maastricht University, is one of the winners of ‘Dance Your PhD’, a dance competition organised by Science Magazine. Kondrateva won in the new AI category.

Dutch smokers, after years of tobacco control policies, are generally unconcerned about the dangers of smoking and second hand smoke, according to an international comparative study.