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An international team of scientists is studying the possibility of using data assimilation, a data technique from geosciences, to predict the spread of coronavirus and the efficacy of certain measures. TU Delft geoscientists on the team think that data assimilation might prove a useful tool for the RIVM epidemiologists. A paper on the subject has been submitted to scientific journal Foundations of Data Science.

The Dutch have widely varying opinions on the desirability of a tracking and tracing corona app

Francine Houben, founder and Creative Director of Mecanoo Architects, has been elected TU Delft Alumnus of the Year 2020.

Francine Houben, founder and Creative Director of Mecanoo Architects, has been elected TU Delft Alumnus of the Year 2020.

The four universities of technology in the Netherlands (Delft, Eindhoven, Twente and Wageningen) appeal to political leaders in The Hague to make technological innovation a structural part of their agendas. Technological innovations are a vital link in the transition process to a resilient, safe and sustainable future. The post-corona future comes with new social challenges that require new solutions. The first Techrede address is scheduled to take place on 1 October and aims to impress upon everyone not only the importance of these types of innovations but the importance of public involvement as well.

Social interactions make up a large part of our life, but social skills don’t come naturally to all. You can train them with self-help books or courses, and in recent years also with training systems based on supporting technologies such as virtual reality.

At TU Delft, various aspects of that energy use are being researched, with the aim of drastically reducing the use in urban areas and generating the remaining energy from sustainable sources. This research is now officially bundled in the Urban Energy Institute.

How can artificial intelligence (AI) accelerate scientific progress? Delft scientists will investigate this question in eight new 'TU Delft AI Labs'.

The COVID-19 pandemic is a reflection on our society and shows us just how vulnerable we are, despite all the advanced mathematical models that are supposed to make policy- and decision-makers aware of the potential risks associated with a pandemic. ‘Yet,’ write scientists Pasquale Cirillo (TU Delft) and Nassim Nicholas Taleb (New York University) in their recently published paper in Nature Physics, ‘most of these models do not look at the tail risk of infectious diseases, and there is very little questioning of the reliability of the various parameters.’ According to the scientists, extreme value theory (EVT) offers a solution for modelling the actual risks of a pandemic.