Future

Thinking in different time frames

Planning and building a large-scale research facility such as the European Spallation Source ESS presents unique challenges. Physicist Marc Janoschek explains why only those who overcome them can achieve breakthroughs in research.

Less animal testing thanks to machine learning

Eawag researchers are using computer algorithms to predict the toxicity of chemicals to fish. Machine learning can help set priorities for experiments and, in the longer term, enable a tremendous reduction of animal testing.

Using statistical methods to predict the course of disease

Data contains much more than just the information on the surface. With statistics, deeper cause-and-effect relationships can be brought to light. This is what Alexander Marx is researching as a Fellow at the ETH AI Center using artificial intelligence. One of his goals is to be able to make predictions regarding diabetes in children.

The energy turnaround won’t happen on its own

The surge in gas and oil prices triggered by Russia’s invasion of Ukraine could help speed the energy transition. But high prices won’t be enough to ensure it succeeds; smart policies are still needed, writes Florian Egli.

We can curb climate change

Anthony Patt has contributed to the new IPCC report on mitigation of climate change. Since the last report in 2014, the odds for phasing out fossil energy have changed; a net-zero world is achievable now, even if the way remains long.

Plant-based steak made from pea protein

ETH Pioneer Fellow Martin Hofmann has developed a method to produce high-quality plant-based meat alternatives. His research on the flow properties of soft materials enables him to imitate the marbling of real steaks.

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