Science News Round Up, April 30, 2025

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How NY is developing an AI Regulatory Framework

The emergence of an AI regulatory framework in New York could set a national precedent, balancing innovation with individual rights, amid concerns that regulation might impede the United States’ technological development and cyber dominance, especially in the competitive landscape against China. This pivotal move highlights the crucial debate between fostering technological advancements and safeguarding citizens’ rights in the rapidly evolving AI sector.

Imagine You Are a Poor Nation, Trapped by Debt and Strangled by Climate Change—What Are Your Options?

Low-income countries are caught in a systemic crisis created by the interconnected challenges of unsustainable debt, inadequate development, and the impacts of climate change, exacerbated by the policies and power dynamics imposed by wealthier nations. While the global community has proposed solutions like the windfall tax on fossil fuel companies or new financial instruments from the IMF and World Bank, these measures often fall short of being transformative, perpetuating a cycle of dependency and leaving poorer nations struggling to break free from a system designed to maintain the status quo. To truly address these challenges, the international system must prioritize systemic change, including technology transfer and meaningful debt relief, enabling these countries to invest sustainably and equitably in their futures and contribute to a global just transition.

Kids are anxious about climate change, and ignoring it won’t help

The Trump administration’s decision to end the partnership between NOAA and Princeton University represents a troubling step in climate denialism, under the guise of reducing “climate anxiety” among youth. Rather than addressing the legitimate and growing concerns about climate change with informed education and actionable solutions, the administration is opting to suppress scientific research, potentially exacerbating the problem and failing future generations.

Platform seeks to lower the barriers to using artificial intelligence in weather research

CREDIT, a new platform developed by NSF NCAR, democratizes access to AI weather models, enabling researchers to harness the power of AI for innovative weather forecasting. By providing a library of AI models, curated datasets, and computing resources, CREDIT empowers researchers to potentially exceed traditional forecasts in accuracy, fostering advancements in Earth system science.

‘It’s a huge loss’: Trump administration dismisses scientists preparing climate report

The Trump administration’s abrupt dismissal of over 400 scientists working on the National Climate Assessment—legally mandated to provide vital insights on climate change—raises significant concerns about America’s preparedness for escalating environmental disasters. This move not only threatens to replace scientifically rigorous findings with misinformation but also undermines the nation’s ability to effectively respond to climate impacts, posing severe risks to communities and compounding the economic and environmental costs of a warming planet.

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