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Earthquakes caused by gas extraction in Groningen now more predictable
Earthquakes caused by gas extraction in Groningen are now more predictable, thanks to new research that combines advanced statistical models with geological insights. This study provides a clearer picture of the risks …
Mathematical model can reduce waiting times in healthcare
Older adults often face long waits for a place in a nursing home or remain unnecessarily in a hospital bed after an acute admission. PhD candidate Rebekka Arntzen developed mathematical models at …
How AI can improve 113 Suicide Prevention's counselling services
PhD student Salim Salmi studied how to use artificial intelligence (AI) to measure the quality of chat conversations with 113 Suicide Prevention. He then used the data to train an AI model …
AI tool can help improve quality of 113 counselling
PhD student Salim Salmi has developed an AI tool that can support 113 Suicide Prevention counsellors in chat conversations with people who are thinking about ending their lives. He is currently investigating …
Data model predicts impact of healthcare supply chain transformations
In Zorgvisie magazine, professors Rob van der Mei (CWI & Free University Amsterdam) and Bianca Buurman (Amsterdam UMC) explain the five major areas of improvement they see for regional cooperation in acute …
Reducing waiting times for tourists
A day out in Amsterdam can be quite frustrating. Museums and other attractions are often fully booked or have long waiting lines. CWI researchers developed an algorithm that helps tourists coordinate their …
Math helps get volunteers to emergencies faster
In emergencies, such as cardiac arrest or a fire, volunteers are sometimes faster on the scene than first responders. Rob van der Mei, a researcher at CWI, is investigating how to optimally …
CWI partner in logistics projects related to health and safety
CWI is involved in two research projects in the field of safety, health & care, receiving funding from TKI Dinalog. These projects focus on the optimal deployment of volunteers in emergency situations …
