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Related Articles from SNS
Advancing Heliophysics and Space Weather Modeling through Open Science
arXiv:2605.30626v1 Announce Type: new Abstract: We present a community-wide effort to develop a strategy and action plan to advance heliophysics and space weather modeling through open science. While open science has the potential to enhance the quality and pace of scientific discovery, its application to scientific modeling requires more careful consideration regarding open data and open software guidelines, as scientific models differ significantly from data analysis software. We gathered...
ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science Analysis
arXiv:2604.16922v3 Announce Type: replace Abstract: Climate research is pivotal for mitigating global environmental crises, yet the accelerating volume of multi-scale datasets and the complexity of analytical tools have created significant bottlenecks, constraining scientific discovery to fragmented and labor-intensive workflows. While the emergence Large Language Models (LLMs) offers a transformative paradigm to scale scientific expertise, existing explorations remain largely confined to...
Leiden Declaration on Artificial Intelligence and Mathematics
Declaration text Leiden Declaration on Artificial Intelligence and Mathematics Preamble Technological developments have repeatedly transformed the practice of mathematics. Recent artificial intelligence technologies, including symbolic and neural methods for the generation and formalization of mathematics, may already have initiated a significant chapter in this long history. Among researchers, artificial intelligence has produced a wide range of reactions: enthusiasm for its potential to...
Requirements for a cooperative information infrastructure for the digital preservation of scholarly blogs
arXiv:2605.31117v1 Announce Type: new Abstract: The long-term accessibility and reusability of scholarly knowledge is a central concern of Open Science. Research and infrastructure development in this area have so far focused predominantly on how traditional scientific outputs, such as journal articles, monographs, and conference proceedings, can be preserved and made openly available over time.
City birds dazzle females with 'borrowed' human items
City birds dazzle females with 'borrowed' human items Stephanie Baum Scientific Editor Robert Egan Associate Editor Bowerbirds in an Australian city use a range of human items—from glass and plastic to banknotes and even a pair of handcuffs—to impress females, shows new research in Royal Society Open Science. Male bowerbirds create an intricate tunnel of twigs called a bower, then gather colorful items to show to any females that visit. The new study, by the University of Exeter, compared...
How bacteria survive with almost no oxygen— and why blocking one enzyme could aid new antibiotics
Researchers in Leiden have, for the first time, observed how a specialized enzyme helps bacteria stay alive when oxygen levels are low, and how that process can be blocked. The study, published in Science Advances, opens up new possibilities for targeted antibiotics.
An Agentic Approach Towards Replication Package Quality Evaluation
arXiv:2606.02006v1 Announce Type: new Abstract: Reproducibility in empirical software engineering relies on complete, accessible, and reusable research artifacts, yet artifact evaluation remains largely manual and difficult to scale. This emerging results paper explores an agentic approach for assessing replication package quality by translating open-science guidelines into machine-verifiable criteria.
Position: Sustainable Open-Source AI Requires Tracking the Cumulative Footprint of Derivatives
arXiv:2601.21632v4 Announce Type: replace Abstract: Open-source AI is scaling rapidly, and model hubs now host millions of artifacts. Each foundation model can spawn large numbers of fine-tunes, adapters, quantizations, merges, and forks. We take the position that compute efficiency alone is insufficient for sustainability in open-source AI.
When Chatbots Accommodate: What AI Companions Optimize for in Vulnerable Conversations
arXiv:2606.04431v1 Announce Type: new Abstract: Millions turn to AI companion chatbots during loneliness, grief, and personal crises. How these companion platforms respond in such moments can shape the trajectory of a user's vulnerable state. Yet we lack tools to characterize what each platform actually does when users open up.