AI entity
All 1 tracked stories fall under one category: ai-research. AI is the most frequent co-covered peer, appearing in 1 of the 1 tracked story. The 6 average consequence score is below the beat benchmark of 6.3 in the same window.
Last mentioned: Feb 19, 2026
Entity pulse
Figures are computed live from our source-verified story record — see our methodology for how impact and sentiment are derived.
All 1 tracked stories fall under one category: ai-research. AI is the most frequent co-covered peer, appearing in 1 of the 1 tracked story. The 6 average consequence score is below the beat benchmark of 6.3 in the same window. They are better corroborated than the beat average, carrying 3 original sources each against 2.6 for the same window. Lamont-Doherty Earth Observatory appears in 1 tracked AI story from February 19, 2026.
Computed from the 1 stories linked to this entity, with beat comparisons drawn from all 140 AI stories published in the same date window. Shares are omitted below five stories and comparisons below a twenty-story baseline.
Coverage cohort
Other entities that clear the same relevance threshold in stories also covering Lamont-Doherty Earth Observatory. Shared-story counts are live from our verified record — not editorial picks.
Global Reporting
Environmental News Network and other outlets report on the AI-enabled discovery.
Study Publication
Lamont-Doherty Earth Observatory releases findings on the global rise of floating algae.
Data Collection Period
Satellite imagery spanning a quarter-century is compiled for analysis.
Researchers at Columbia University's Lamont-Doherty Earth Observatory have utilized advanced AI models to identify a significant increase in floating macroalgae across the world's oceans. This breakthrough demonstrates the power of machine learning in processing decades of satellite data to monitor climate-driven ecological shifts.
Source: Columbia University
Lamont-Doherty Earth Observatory is linked from 1 story on this site, each scored at or above our 35% relevance threshold — see how these pages are built.
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