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Latest analysis coverage from Global Infrastructure Review.
Based on studies in Malmö and Östersund, Sweden, this research analyzes how non-technical factors such as governance, coordination, and financing in Sustainable Stormwater Management (SSWM) become key to decision-making, providing new perspectives for global urban infrastructure planning.
Explore how AI deep research tools are changing the traditional paradigm of international infrastructure research, project financing, and regional development analysis.
AIPOCH and Zhongshan Hospital Affiliated to Fudan University jointly launched MedSkillAudit, a pre-deployment audit framework for medical AI agents, aimed at ensuring scientific reliability and safety. The framework employs a two-layer veto gate and two-stage evaluation, revealing that 57.3% of skills did not meet the limited release threshold, underscoring the urgency of quality control in digital health infrastructure construction.
As AI participates in the generation of research proposals, the traditional evaluation system centered on written proposals faces challenges. The article discusses how funding agencies can address the impact of the AI era by shifting towards evaluating methodological rigor, research capabilities, and transferable skills, as well as reforming the evaluation process.
Digital Science launches Dimensions Citation Check API, providing journal editors with a scalable self-citation risk screening tool. This article analyzes from an infrastructure perspective how this tool changes the academic publishing process, improving the efficiency and consistency of research integrity management.
Deep Finance Analytics releases AI-native intelligent framework NEXT, covering 25 products. This article analyzes how the framework changes project financing, risk management, and capital allocation logic from the perspective of infrastructure investment and financing.
This article starts from the failure rate of project delivery and deviations in Agile practices, and reexamines the relationship among digital infrastructure, enterprise IT transformation, and AI governance: what truly determines success or failure is often not the methodology itself, but governance, capability, risk visibility, and organizational execution.
Anthropic’s Mythos Preview discovered more than 10,000 high-risk or critical vulnerabilities within a month. On the surface, this appears to be a leap in AI security capabilities, but in reality it reveals that the global software supply chain has entered a “patching capacity constrained” phase: what is truly scarce is not scanning, but verification, triage, and patch delivery.