MUSTS research projects

MUSTS research is adventurous in exploring a variety of theoretical and empirical fault lines; but it is always rigorous in its methodological approach, theoretical grounding, and scholarly justifications.

The Prediction Machine

The Prediction Machine is a research project led by Dr. Jacob Ward, who received funding from NWO's Veni scheme to carry out this research.

In this project, Jacob Ward uses historical research to investigate how prediction became so important to government and explores the consequences of these predictions on government.

“Nanobubbles”: how, when and why does science fail to correct itself?

Prof. Cyrus Mody received an ERC Synergy Grant in 2020 for his project NanoBubbles: how, when and why does science fail to correct itself?. The project investigates how, when and why science fails to correct itself.

PhD candidate	Project	Supervisor
Candida Sánchez Burmester	Tracing claims in nanobiology: scientific practices and interactions at conferences and laboratories	Prof. Cyrus Mody

Nanobubbles website

RAIDIO: Responsible Artificial Intelligence in clinical DecisIOn-making

RAIDIO: Responsible Artificial Intelligence in clinical DecisIOn-making is a 4-year research project that has received funding from NWO's Open Competition for Digitalisation. The aim of the project is to investigate processes of digitalisation and the desired role for AI in image-based medicine.

The project is a collaboration between the University Medical Centre Utrecht, Maastricht University and Radboud UMC. From the MUSTS group, Prof. Sally Wyatt and Dr. Flora Lysen are involved.