Data Sciences
"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.
Four cryptographic vulnerabilities in Telegram
Research
ETH Zurich
An international research team of cryptographers completed a detailed security analysis of the popular Telegram messaging platform identifying several weaknesses in its protocol that demonstrate the product falls short of some essential data security guarantees.
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