data scientists

New data indicates the current El Niño is the strongest ever recorded, driving a major shift in global weather patterns. The development is expected to bring hotter temperatures, droughts in some regions and heavy rainfall in others, with scientists warning of widespread consequences for agriculture, water supplies and extreme weather events across the globe in the months ahead.

Scientists and commercial fishermen in New England are calling on federal agencies to maintain funding for a deep-ocean observation system that tracks conditions in Atlantic waters. Researchers use the system to study ocean changes, while fishermen rely on its data for safety and understanding fish stocks. The two groups, often at odds, are jointly pressing for continued federal support.

NASA's Perseverance rover continues to study rocks in Jezero Crater on Mars, where evidence indicates the area once held water. Scientists report that the water systems on early Mars were complex and hot, suggesting long-lasting hydrothermal activity rather than a single calm lake. The findings sharpen interest in whether the crater's ancient environment could have supported life, and researchers are examining samples collected by the rover for further clues.

Astrophysicist Neil deGrasse Tyson says plans to put AI chips and data centers in space face 'many challenges', according to The Hill. His comments come as tech companies increasingly float orbital data centers as a way to handle the enormous power and cooling demands of artificial intelligence, and the remarks add a skeptical scientific voice to that debate.

A new satellite designed to monitor a powerful driver of climate change has launched from Vandenberg Space Force Base in California. The mission aims to improve scientists' ability to observe and measure the forces behind global warming from orbit. The launch is drawing attention as climate monitoring grows more urgent, with researchers and the public following how the new data could sharpen understanding of warming trends.

New Scientist examines whether growing public and political resistance to AI data centres — driven by concerns over energy use, water consumption and local impacts — could also affect quantum computing projects, which rely on similar large-scale infrastructure and investment. As scrutiny of AI facilities intensifies worldwide, the question is whether quantum computing will be drawn into the same debate or continue to be viewed separately.

A new essay argues that evidence alone is not enough for good science, pointing to the role of reasoning, values, and judgement in scientific work. The piece has sparked discussion among scientists and commentators about how research should be evaluated beyond raw data.

Researchers at Michigan Medicine report that larger datasets have uncovered a second, third, and fourth switch controlling a gene, suggesting gene regulation is more complex than the single-switch model long assumed. The finding could reshape how scientists study genetic conditions and develop targeted therapies.

A newly compiled, large dataset of supernova observations is being reported as a challenge to the prevailing theory of dark energy, the mysterious force thought to drive the accelerating expansion of the universe. The finding is drawing attention from cosmologists, as it could question a central pillar of the standard model of cosmology if the data holds up under scrutiny.

Anthropic announced that its artificial intelligence identified a previously unknown enzyme system resembling CRISPR, the gene-editing tool that transformed biology. The claim suggests AI can uncover novel biological mechanisms, not just analyze existing data. Details on the discovery, its validation, and practical uses remain limited so far, and scientists will be watching for independent confirmation.

A report argues that NASA has underfunded its Research and Analysis program for roughly 15 years, leaving science portfolios short of the levels recommended by past decadal surveys and agency guidance. Scientists say the sustained shortfall has squeezed grants, delayed analysis of mission data and weakened the research base that supports future space science.

Scientists and data researchers are sharing everyday observations about weekday work rhythms in labs and statistical research, using tags covering science, lab life and data science. The posts point to ongoing chatter about workload patterns, routines and the contrast between scheduled research time and the unpredictable pace of real lab work during the working week.

NASA scientists are conducting fieldwork in Scotland to study terrain that resembles conditions on Mars, searching for clues about the Red Planet's past. By examining ancient rock formations and landscapes in Scotland, researchers hope to better understand Mars' geological history and the possibility it once hosted habitable environments. The work is part of NASA's ongoing effort to prepare for future Mars exploration and interpret data from rovers and orbiters.

Pew Research Center is publishing work on how well synthetic samples, generated with AI, replicate real public opinion. The research tests whether artificially produced survey respondents can match results from genuine samples, a question of growing urgency as pollers weigh cheaper synthetic alternatives. Researchers are scrutinising accuracy, bias and reliability, with implications for survey firms, campaigns and social scientists who depend on representative public opinion data.

Data scientists say AI tools have made their core work—cleaning data, writing code, building models—much faster, but instead of shrinking the role, automation is broadening it. Practitioners report spending more time on problem framing, validating AI outputs, and interpreting results, arguing the job is shifting from hands-on analysis toward judgment and oversight of machine-generated work.