Archive

A compact and mobile cloud radar will deliver high resolution images of the cloud compositions above the TU Delft Campus.

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.

A fund of 3.4M€ has been awarded by the European Commission to a project on geothermal energy, that will be led by researcher Maren Brehme (TU Delft). The project entitled ‘EASYGO: Efficiency and Safety in Geothermal Operations‘ is one of the Innovative Training Networks meant for extraordinary global research as well as excellent training opportunities for PhD candidates to reach doctorate level.

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

After worldwide lockdowns due to COVID-19, many countries are on their way to 'the new normal'. To investigate and shape our new normal we need vetted data and models combined with profound knowledge about digital technologies and systems. On the new website ‘COVID-19: Technologies for the transition phase’ researchers from Delft University of Technology share their knowledge and expertise to help shape a responsible transition to the new normal in the critical years that lie ahead. Serge Hoogendoorn, professor Traffic operations & management, is one of the initiators. Many researchers from the department of Transport & Planning have already contributed.