Data Sciences
Digital twins give fresh insight into the world around us
Research
EPFL
Digital twins are computer-based models of an object or even a human organ, and the technology behind them is advancing at a rapid pace. EPFL will host a series of talks and seminars on this topic at its Digital Twin Days on 15 and 16 November. An ideal opportunity to learn more about the work EPFL researchers are doing in this pioneering field.
"We have to ask ourselves what to do with hacked data"
Politics
ETH Zurich
In recent years, there have been several incidents of hacked databases, and the hackers published the stolen data on the internet. Are scientists allowed to use such data for their research? ETH Zurich bioethicists Marcello Ienca and Professor Effy Vayena have addressed this question in a paper published in the journal Nature Machine Intelligence. ETH News spoke with Ienca.
Helping engineers better predict clay landslides
Research
EPFL
Norway experiences dangerous landslides due to its clay-rich soil. For her Master’s thesis in civil engineering at EPFL, Mathilde Metral outlined steps that the country’s geotechnical engineers can take to improve the predictive computer model they’re currently developing. 
Computer algorithms are currently revolutionising biology
Research
ETH Zurich
Artificial intelligence can help predict the three-dimensional structure of proteins. Beat Christen describes how such algorithms should soon help to develop tailored artificial proteins.
Do we live in online bubbles?
Research
EPFL
Taking a novel perspective, EPFL researchers have studied political polarization in online news consumption rather than content production, looking at whether the backlink structure of online news networks alone, or users’ explicit reading choices contribute to the partisan divide. 
New, high-resolution models merge weather and climate
Research
ETH Zurich Empa
Torrential rain and flooding have dominated the weather over the past few weeks. To forecast these weather events with greater accuracy and gain a better understanding of them against the backdrop of global climate change, ETH Zurich and partners are developing a new generation of high-resolution weather and climate models.
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