prisma-2020

Automated Systematic Literature Review (SLR) pipeline that identifies relevant studies from academic databases, downloads accessible papers, conducts multi-stage screening, and generates a curated, reproducible set of papers ready for synthesis from a research question, with agent-driven execution and human-in-the-loop where needed.

A Python toolkit for systematic literature reviews — by Proportione. PRISMA 2020 + MMAT 2018 + bibliometrics, with CLI and Streamlit demo.

PRISMA systematic review workflow enhanced with Claude Code wiki integration — PDF manual ingestion, knowledge persistence, pre-search wiki context

PRISMA 2020 systematic review (n=45) on Digital Twins for energy optimization in Smart Buildings (2015–2025) — article, Python pipeline, screening decisions, and technical mapping for RQ4. Master 1 Data & AI, Université Catholique de Lille.

Systematic review and meta-analysis of affect labeling (Lieberman et al. 2007 paradigm). Random-effects meta-analysis (k=8), PRISMA 2020, RoB 2 / ROBINS-I, ~10,500-word manuscript. Open data and code.

Reproducibility package for a PRISMA-2020 systematic review and meta-analysis comparing pretrained foundation-model embeddings vs handcrafted radiomics across 28 head-to-head studies. Under peer review at Insights into Imaging.

PRISMA 2020 systematic review automation for Claude Code. MCP servers for ERIC, OpenAIRE, CORE, DOAJ, Zenodo. Evidence-based edtech research.

Replication package for the systematic literature review on knowledge persistence architectures for AI-based coding agents (PRISMA 2020, 28 included studies).

Agent Grey — grey literature search and review aligned with PRISMA 2020 (public mirror)