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A groundbreaking database is set to transform our understanding of climate science, offering insights into decades of research and identifying gaps for future studies.
In an era where the impacts of climate change are becoming increasingly evident, a new resource aims to provide unprecedented clarity on the vast body of scientific knowledge that has accumulated over more than a century. Carbon Brief’s Project Cosmos is a monumental effort to create the world’s largest and most comprehensive database of climate change research. With over 1.8 million individual publications linked by 40 million citation relationships, this database captures the depth and breadth of human understanding in this critical field.
Project Cosmos has been more than 18 months in the making, guided by a team of specialists from various academic disciplines. The project's primary goal is to map and analyze the foundational knowledge that the scientific community has built about climate change. This includes ranking the most highly cited publications, authors, and institutions, collectively known as the Cosmos 500.
The database will not only provide a snapshot of current research but also reveal how interest in different areas of climate science has evolved over time. By identifying potential knowledge gaps, Project Cosmos aims to highlight opportunities for future research, ensuring that the scientific community remains focused on addressing the most pressing questions.
One of the fascinating aspects of Project Cosmos is its ability to trace the historical roots of climate change research. For example, one of the first scientific studies to connect atmospheric CO2 to a rise in global temperatures was published in 1856 by Eunice Newton Foote. Her seminal study, published in the American Journal of Science and Arts, laid the groundwork for modern climate science.
Foote's work is just one example of the rich history that Project Cosmos aims to preserve and highlight. By linking publications through citation relationships, the database provides a clear lineage of how ideas have developed over time, from early observations to current complex models. This historical context is crucial for understanding the evolution of scientific thought and identifying key milestones in climate research.

The database's structure is designed to be both comprehensive and accessible. It features detailed information on each publication, including abstracts, authors, institutions, and citation counts. Researchers can explore various facets of the data, such as the most influential publications, the leading experts in specific areas, and the institutions that have made significant contributions to climate science.
As Project Cosmos continues to evolve, it will serve as a valuable tool for policymakers, researchers, and the public. By providing a clear overview of the current state of climate research, the database can inform policy decisions and guide future research directions. It also offers an accessible platform for non-experts to explore the vast body of scientific knowledge on climate change.
The potential applications of Project Cosmos are numerous. For policymakers, it can help identify areas where more research is needed or where existing knowledge can be applied to develop effective policies. For researchers, it provides a wealth of data to analyze trends and gaps in the literature, fostering collaboration and innovation. For the public, it offers a transparent and user-friendly way to understand the complexities of climate science.
In an era where evidence-based decision-making is crucial, Project Cosmos stands as a beacon of transparency and rigor. By bringing together the collective knowledge of the scientific community, this project aims to accelerate progress in addressing one of the most pressing challenges of our time.
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Original Sources
Introducing Project Cosmos: Carbon Brief’s ‘universe’ of climate science
↗ https://www.carbonbrief.org/introducing-project-cosmos-carbon-briefs-universe-of-climate-science
About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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29 June 2026
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