Ocean Damage Doubles Climate Change Costs: New Study Quantifies Hidden Economic Toll
Groundbreaking research from Scripps Institution of Oceanography shows that climate-driven ocean degradation—coral loss, fisheries collapse, and coastal infrastructure damage—adds an extra $46.2 per ton of CO₂, pushing the true social cost of carbon to $97.2 per ton and exposing a major gap in existing climate-economics models.
Norway Establishes Six National AI Research Centers to Advance Ethical and Sustainable Artificial Intelligence
Norway has launched six new national AI research centers with combined funding of up to NOK 1.2 billion over five years, positioning the country at the forefront of ethical and sustainable AI development while creating numerous opportunities for climate and environmental research.
New Study Reveals Industrial Agriculture as Key Driver of Bird Population Decline
A major study unveils a direct, quantifiable link between large-scale, chemically intensive farming and the rapid disappearance of bird species, highlighting the urgent need for agricultural reform to protect avian biodiversity.
Analyzing Climate Change Awareness Campaigns: A Bibliometric Study of Scientific Research
A comprehensive bibliometric analysis of 1,207 Web of Science records traces the evolution of climate change awareness campaign research from 1994-2024, highlighting publication surges, leading institutions, and future research priorities.
New Semantic Analysis Maps the Rapid Evolution and Geographic Shifts in AI Research
A comprehensive semantic analysis of arXiv papers shows AI research has grown 77% in the last five years, with deep learning papers quadrupling since 2012 while statistical methods declined by half. The study highlights significant geographic shifts, with China tripling its share of global AI research and European countries falling behind in cutting-edge research.
Global Economic Analysis 2025–2026: Growth Slowdown, Sticky Inflation, and the Rise of Emerging Markets
The China-CEE Institute’s 2025–2026 outlook explains why global GDP is decelerating to 3.2 %, why inflation refuses to fall quickly, and how emerging economies—especially China—are becoming the dominant engine of world growth.
Wastewater Analysis Reveals Europe’s Drug Use Patterns: 2025 Multi-City Study Results
The latest SCORE network study analyzed wastewater from 115 European cities to map illicit drug consumption. Cocaine use rose 22 % year-on-year and remains highest in western and southern Europe, while amphetamine levels stay elevated in northern and central regions and methamphetamine signals spread beyond traditional hotspots.
Sartorius Launches Next-Generation Cell Therapy Platform to Overcome Manufacturing Bottlenecks
Sartorius introduces Eveo, an integrated modular platform designed to eliminate structural production bottlenecks limiting patient access to transformative cell therapies like CAR-T treatments, marking a significant advancement in cell therapy manufacturing efficiency.
New Research Reveals Frontline Communities Experience Heightened Concern Over Extreme Heat and Climate Impacts
Groundbreaking research shows that while frontline and non-frontline communities share equal concern about global warming, those in frontline areas are significantly more worried about specific climate impacts like extreme heat and power outages, underscoring the critical need for tailored climate communication and policy interventions.
Climate Research Roundup: Week 12, 2026 – Fresh Insights from the Latest Science
Skeptical Science’s weekly digest spotlights cutting-edge peer-reviewed papers released in March 2026, synthesizing what they reveal about extreme weather attribution, tipping-point risks, and the narrowing window for climate action.
Food is Medicine Programs Could Generate $45 Billion for U.S. States, New Rockefeller Foundation Study Finds
Groundbreaking Rockefeller Foundation research demonstrates that Food is Medicine programs could unlock $45 billion in state economic activity, create hundreds of thousands of jobs, and transform healthcare spending into rural economic development when local farms are prioritized.
AI-Powered Deep Learning Model Revolutionizes PM2.5 Chemical Composition Monitoring
Chinese researchers have created an AI model that reconstructs hourly concentrations of sulfate, nitrate, ammonium, organic matter and elemental carbon in PM2.5 using only routine air-quality and meteorological data, achieving correlations above 0.91 and cutting monitoring costs.