About This Instance
A living meta-analysis platform that continuously monitors, classifies, and analyzes research on generative AI in academic research practice — including literature review automation, AI-assisted writing, peer review, research integrity, institutional governance, and human-AI collaboration in scholarly workflows.
What's inside this instance
Every paper in the corpus, classified by relevance and extracted into structured fields, with agreement scores where several independent AI perspectives read it. Filter by paradigm, methodology, evidence model, or full-text availability.
Datasets, questionnaires, measurement instruments, tools, and code repositories surfaced across the corpus — each linked back to the papers that use it.
Effect sizes extracted from the papers and converted to a common metric where the statistics allow, then pooled within a single paradigm into random-effects estimates with forest plots — never across different phenomena.
The field's highest-impact evidence gaps, ranked for frequency, depth, and feasibility. Each priority links to an investigation in The Lab and, where one exists, a living review.
Ask a question in plain language and a server-side AI agent investigates the corpus for you — pulling in the right specialist automatically and adapting its coaching from layperson to expert. Attach your own data, papers, or drafts.
How it works
Papers in the field are collected from OpenAlex into the corpus. Each one is classified for relevance, tagged with its methodology and evidence type, and its structured fields are extracted, from the abstract or, for a subset of papers, from the full text by several independent AI extractor personas whose readings are reconciled into one cross-validated consensus; each paper shows which reading it had. Where several personas read a paper, a consensus algorithm resolves disagreements field-by-field and attaches an agreement score. Every factual claim must carry a verbatim quote from the source. Evidence gaps, pooled effect sizes, curated resources, and research priorities all emerge from that extracted evidence and are regenerated on every rebuild, so the analysis follows the corpus instead of a publication date.
Built at LivingMeta.ai.
About LivingMeta
This instance runs on the LivingMeta platform, an open research infrastructure that turns a field's literature into an evidence base that is rebuilt from source rather than a one-off review.