Data Sciences
Swiss video games preserved as part of cultural heritage
Research
EPFL
GameLab UNIL-EPFL and the Musée Bolo helped launch a new project, Pixelvetica, that seeks to showcase and preserve Switzerland’s video game heritage.
Detailed tumour profiling
Research
ETH Zurich
As part of a clinical study involving patients from the University Hospitals in Zurich and Basel, researchers are conducting a thorough and highly precise investigation into the molecular and functional properties of tumours. Their goal is to help physicians to better determine which treatment will best match every patient’s cancer and thus be most effective.
How clicks on a job platform can reveal bias
Research
ETH Zurich
Scientists at ETH Zurich have leveraged big data from recruitment platforms and machine learning to study hiring discrimination. They show that discrimination against immigrants depends, among other things, on the time of day; and that both men and women face discrimination.
Machine learning helps retrace evolution of classical music
Research
EPFL
Researchers in EPFL’s Digital and Cognitive Musicology Lab in the College of Humanities used an unsupervised machine learning model to ‘listen to’ and categorize more than 13,000 pieces of Western classical music, revealing how modes – such as major and minor – have changed throughout history.
EPFL, ETH Zurich and the ICRC team up to bolster humanitarian aid
TechTransfer
EPFL ETH Zurich
The Engineering Humanitarian Aid initiative, officially launched on 10 December 2020, will harness the expertise of Switzerland's two federal institutes of technology to benefit humanitarian aid programs. The effort will focus on the areas of energy and the environment, data sciences and digital technologies, and personalized health and related technologies.
Digital data reveal new pandemic dynamics in 17th-century Venice
Research
EPFL
Researchers at EPFL have used digitized historical records to provide novel insights into the spread of the bubonic plague in Venice, Italy.
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