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Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth Wei Chen

Neural Information Processing Systems

Since the inception of our planet, the meteorological environment, as reflected through spatio-temporal data, has always been a fundamental factor influencing human life, socio-economic progress, and ecological conservation.


Aerial footage shows flooded cities as storms hit Spain

BBC News

Aerial footage showed the extend of floods in Spain after a series of storms hit the Iberian Peninsula. Storm Marta hit Spain on Saturday, bringing more rain to the region, as it was still recovering from Storm Leonardo. In Córdoba, drone footage showed flooded olive trees as Spanish farmers warned of the millions of euros worth of damage to crops following the torrential rains and high winds. In the country's southern region of Andalucia, over 11,000 people have been displaced. Nazar Daletskyi's relatives were told he had been killed in 2022, the first year of Russia's full-scale invasion.




'It's 2C in our flat': Inside Kyiv apartment as Russia targets power and heating

BBC News

Russia has been exploiting Ukraine's harshest winter in years to pummel energy infrastructure across the country. Repeated strikes have crippled the power supply to major Ukrainian cities, leaving millions without heating or light as temperatures hover around -15C (5F) for the third week in a row. Electrical companies carry out round-the-clock repairs - only for their work to be undone at night, when Russian drone and missiles again damage power stations. In Kyiv, people were initially able to keep the cold at bay by using electric heaters or wrapping up warm. But the freezing temperatures have lasted weeks now, with no end in sight.


Watch: Fishing on a frozen river for respite from the war in Ukraine

BBC News

Kyiv is many miles from the front line, but Ukraine's war with Russia is never far away - with Moscow's missile and drone attacks directed at the city almost every day. On the frozen surface of the mighty River Dnipro, the BBC speaks to men who spend hours fishing to take their minds off the almost four-year-old conflict, which has left homes with no heating after Russian strikes on power stations. Drilling holes in the ice of the river in the heart of the city, these ice-fisherman - many of them veterans with friends and family at the front - hope to catch small fish, and a little respite. Authorities deliberately triggered the avalanche on Mount Elbrus to release a build up of snow. The limited deployment involves Germany, France, Sweden, Norway, Finland, the Netherlands and the UK.


Hierarchical topological clustering

Carpio, Ana, Duro, Gema

arXiv.org Machine Learning

Topological methods have the potential of exploring data clouds without making assumptions on their the structure. Here we propose a hierarchical topological clustering algorithm that can be implemented with any distance choice. The persistence of outliers and clusters of arbitrary shape is inferred from the resulting hierarchy. We demonstrate the potential of the algorithm on selected datasets in which outliers play relevant roles, consisting of images, medical and economic data. These methods can provide meaningful clusters in situations in which other techniques fail to do so.


Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models

Piedrahita, David Guzman, Strauss, Irene, Schölkopf, Bernhard, Mihalcea, Rada, Jin, Zhijing

arXiv.org Artificial Intelligence

As Large Language Models (LLMs) become increasingly integrated into everyday life and information ecosystems, concerns about their implicit biases continue to persist. While prior work has primarily examined socio-demographic and left--right political dimensions, little attention has been paid to how LLMs align with broader geopolitical value systems, particularly the democracy--authoritarianism spectrum. In this paper, we propose a novel methodology to assess such alignment, combining (1) the F-scale, a psychometric tool for measuring authoritarian tendencies, (2) FavScore, a newly introduced metric for evaluating model favorability toward world leaders, and (3) role-model probing to assess which figures are cited as general role-models by LLMs. We find that LLMs generally favor democratic values and leaders, but exhibit increased favorability toward authoritarian figures when prompted in Mandarin. Further, models are found to often cite authoritarian figures as role models, even outside explicit political contexts. These results shed light on ways LLMs may reflect and potentially reinforce global political ideologies, highlighting the importance of evaluating bias beyond conventional socio-political axes. Our code is available at: https://github.com/irenestrauss/Democratic-Authoritarian-Bias-LLMs.