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Data Science for Teams
Trends
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The Globus team has published a retrospective on GridFTP, the high-performance file transfer protocol developed for moving large scientific datasets across research networks. The piece traces the technology's origins in grid computing and its ongoing role in fields like physics, where experiments generate massive volumes of data that must be moved quickly and reliably between institutions worldwide.
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Researchers have announced a new tissue atlas designed to help artificial intelligence systems better understand cancer. The project maps tissue structures so that machine-learning models can interpret biological data more accurately, potentially improving diagnosis and treatment research. Details on the teams and institutions involved remain limited, but the initiative highlights a growing push to give AI better scientific foundations in medicine.
- 3Open-source platform offers no-code machine learning for non-experts▼Free open-source platform brings no-code machine learning to non-experts
A free, open-source platform has been launched that lets people without programming or data science backgrounds build machine learning models through no-code tools. According to reports, the aim is to lower the barrier to artificial intelligence technology for researchers, small businesses and other non-experts who cannot afford specialist teams. Details on the platform's developer and features were not specified.
- 4University of New Mexico Health Sciences Center Hit by Cyberattack●University of New Mexico Grapples with Health Sciences Center Cyberattack The University of New Mexico Health Sciences C
The University of New Mexico Health Sciences Center was struck by a sudden cyberattack on October 26. Its IT security teams moved quickly to contain the breach and protect the network as the university works through the disruption. The incident affects a health sciences campus that handles sensitive medical and patient-related data, raising concerns about system downtime and data safety.
- 5New data science book highlights refugee influx case study●Data Science for Teams - Case study: Refugee influx analysis | # DSbook # writingprocess # datascience "Data Science for
A case study on analysing refugee influxes is drawing attention as part of 'Data Science for Teams: 20 Lessons from the Fieldwork' by H. Georgiou, published by Elsevier. The author shared the example, which shows how team-based data science methods can be applied to humanitarian migration data. The post has so far generated minimal engagement.
- 6Roman Space Telescope captures first images, team calibrates instruments●Teleskop Roman ma już kosmos w kadrze. Teraz jego zespół pilnuje, by drobne niedoskonałości sprzętu nie podsuwały astron
NASA announced on 22 October that the Nancy Grace Roman Space Telescope has begun the final stage of preparations for science operations, having already captured its first images of the cosmos. The telescope's team is now working to correct for small hardware imperfections so they do not mislead astronomers with false signals. The mission, designed for wide-field sky surveys, is moving toward delivering data to the scientific community.
- 7Smart urinals emerge as marginal-gain tool in Premier League▼Inside the smart urinals driving marginal gains in the Premier League
Premier League clubs are reportedly using smart urinals as part of their drive for marginal performance gains. The technology is said to monitor hydration levels through urine samples, giving medical and coaching staff data to fine-tune players' fluid intake and recovery. It is the latest example of top-flight football teams turning to unconventional sports science to squeeze out small competitive advantages.