Mathematical models that predict policy-driving scenarios may be too complex and deliver "wrong" answers, a new study reveals.
Inspired by the Covid-19 pandemic, UiB researchers present five principles for model quality.
Torture of data, perverse reward systems, declining morals and false findings: Science is in crisis, argues statistician Andrea Saltelli.
This project was financed by the Peder Sather Grant and was a cooperation between the Centre for the Study of the Sciences and the Humanities, NTNU and UC Berkeley.