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Hourly data reveal Alpine 100-year floods could arrive every 45 to 80 years

Heavy precipitation becomes more intense with every degree Earth warms. This affects flooding. Using hourly data from 384 rivers in the Alps, researchers from the WSL Institute for Snow and Avalanche Research SLF modeled how flooding will change by the end of the century. Their projections are significantly bleaker than earlier ones. The findings are published in the journal Science Advances.

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When disaster strikes, people often flee to places that feel familiar

When the Marshall Fire tore through suburban Colorado in late 2021, residents had only hours to decide where to go. Some fled to nearby towns. Others stayed farther away for weeks or months. Now, a recent study published in Humanities and Social Sciences Communications suggests those decisions were shaped not only by distance or danger but also by something more human: the pull of familiar communities and social ties.

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Asteroid breakup may explain inner solar system bombardment 800 million years ago

A Southwest Research Institute-led study has proposed a connection between a specific collision in the main asteroid belt and an inner-solar-system-wide bombardment episode that may have had measurable biological and geological consequences on Earth. The research suggests that the catastrophic breakup of the Eulalia parent body could be linked to an impact shower that struck the terrestrial planets about 800 million years ago. The work is published on the arXiv preprint server.

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Researcher studies how people shift attention during everyday and high-stakes tasks

Sustaining attention over long periods affects everything from routine tasks to high-stakes decisions. Whether it is an umpire making a split-second call or a driver glancing at a navigation system, even small lapses in focus can have meaningful consequences. New research from Texas A&M University is shedding light on how people allocate their attention and why it fluctuates in ways that can lead to both errors and improved performance.

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AI-powered election forecasts reveal hidden preferences inside language models

An international research team involving the University of Bayreuth has, for the first time, analyzed the "inner workings" of AI language models when predicting political voting decisions. To do so, the researchers examined six national elections and AI-based election forecasts and developed a new method for making more precise predictions. They presented their findings at the International Conference on Machine Learning (ICML 2026) in Seoul, South Korea.

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Understanding Bavaria's Indigeneity

When I tell people that I am a proud Boarisch-Schwob—Bavarian-Swabian—Indigenous person, I am often met with disbelief. I am white. I am European. I come from Bavaria, one of Europe's wealthiest regions. For some people, those facts settle the question before I have explained anything else.

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When disaster strikes, people often flee to places that feel familiar

When the Marshall Fire tore through suburban Colorado in late 2021, residents had only hours to decide where to go. Some fled to nearby towns. Others stayed farther away for weeks or months. Now, a recent study published in Humanities and Social Sciences Communications suggests those decisions were shaped not only by distance or danger but also by something more human: the pull of familiar communities and social ties.

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Study finds carbon-based pricing encourages greener tourist intentions

Hotels have long encouraged guests to reuse towels, limit linen changes and conserve energy. Yet tourism remains a significant source of carbon emissions, and voluntary sustainability programs often struggle to achieve lasting behavior change. New research suggests a different approach may be more effective: connecting the environmental impact of a stay directly to what travelers pay.

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Sustainability reports: What 10 years of corporate data reveal—and conceal

A new study finds that companies are increasingly disclosing climate data—yet coverage of value chains and social factors remains patchy. Using an AI-powered method, a team from LMU Munich and the University of Cologne analyzed 2.9 million sustainability indicators from 10 years of annual reports. They found that companies are increasingly disclosing information about their carbon performance. But when it comes to environmental impacts along the value chain and social indicators, the picture is more mixed.

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Researchers develop key technology to make personalized AI safer

The era of building "personalized AI" by training AI models on individual or corporate documents and data is beginning. However, while such customization can improve task performance, it can also weaken a model's existing safety safeguards. KAIST researchers have developed a core AI technology that preserves customized performance while further strengthening safety.

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