6 datasets

figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">Slide show for illustrative purpose - Democracy Now - Pre Print Review 2026</p>

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">This book argues for a simple engineering principle: a system should not receive more freedom to act than we have the independent ability to verify, constrain, and stop. Five ideas carry the argument. 1. Safety Must Be Designed Before Capability Growth Boundaries, stop mechanisms, verification criteria, and rules for expanding authority must exist before the system receives the corres

ZivaHub2026 · dataset

<p dir="ltr">This paper proposes pivoting AI development toward <b>stripping autonomy</b> and <b>sharpening metacognition</b>. While autonomous AI ecosystems require a <b>Shared Blackboard Architecture</b> for real-time synchronization, granting decision-making authority creates fatal risks, including the <b>alignment problem</b> and the <b>loss of human sovereignty and accountability</b>. Thus, A

figshare2026 · Astronomical catalogue

<p dir="ltr">We conducted a systematic scoping review following PRISMA-ScR guidelines. To ensure comprehensive coverage, we executed a rigorous, multi-database search using a custom Python 3.12 script designed for automated retrieval and metadata extraction, supplemented by extensive manual search and backward/forward citation tracking. From 7,901 initial records, 120 studies published between 201

ZivaHub + Deakin Research Online + DMU Figshare + UCL Research Data Repository2026 · dataset

<p dir="ltr">The Guide to Strategic Wetlands <b>i</b>s a two-page brief that introduces a spatial planning tool for conservation and community resilience in high opportunity areas. The brief is designed to be a resource that helps non-profits, local governments, planners, and land owners identify where strategic wetland actions can most effectively reduce flood risk, protect public infrastructure,

ZivaHub2020 · dataset

The spread of SARS-Covid-19 virus has impacted the world as it continues to raise questions on the long-term impacts. With the absence of historic/big data sets, digital public health surveillance measures are informed via modelling using real-time data, which is collected and validated by public health agencies; and also aggregated/merged with self/open reported data by the public, via mobile app