News

Maastricht University and Radboud University are diving deeper into smart technologies for the elderly. How can we ensure these technologies are not only smart, but genuinely meet the needs of the people who live with them?

Multiple researchers of the Faculty of Law received funding by Studio Europa Maastricht. These fundings aim to support interdisciplinary, Europe-focused research and outreach initiatives

As a Digital Transformation and AI Consultant at Eurolink, Tara Miranović can’t help noticing how much she gained from Maastricht University’s system of Problem-Based Learning (PBL). The sessions she now runs with clients closely resemble the tutorials during her studies.

The team will organise an interdisciplinary workshop bringing together international scholars from a range of disciplines and geographical backgrounds. The workshop will be complemented by outreach activities, including opinion articles, video recordings, and a podcast.

Henrique Marcos (Senior Lecturer in the Foundations of Law department) and Sarah Tas (Assistant Professor in the Public Law department) have received a Veni grant from the Dutch Research Council (NWO).

Congratulations! NUTRIM Postdoc Dr. Wouter van de Worp received a NWO Veni grant. His Veni project focuses on cancer cachexia and muscle wasting.

The award recognises exceptional work by early-career researchers while honouring her enduring contributions to the study of labour markets, welfare states and comparative political economy, as well as her longstanding commitment to supporting the next generation of scholars.

From stimulating myelin repair in human brain cells to studying how tumours release proteins that trigger muscle breakdown: five innovative FHML research projects receive a Veni.

As many as ten young UM researchers have been awarded a Veni grant worth up to €320,000 from the Netherlands Organization for Scientific Research (NWO).

UnveilML combines econometrics and machine learning to better estimate hidden factors such as financial risk, the business cycle, and global warming. By adding long memory, interpretability, and reliable uncertainty estimates, it aims to deliver more trustworthy insights for high-stakes decisions.