Nikolai Cook, František Bartoš, Pedro R. D. Bom, Sebastian Gechert, Klára Kantová, Jerome Geyer‐Klingeberg, Tomáš Havránek, Zuzana Irsova, Martina Luskova, Matěj Opatrný, Franz Prante, Heiko J. Rachinger, T. D. Stanley
- Meta-analysis is how science takes stock of its vast research output. The advent of increasingly capable artificial intelligence (AI) promises an unprecedented ability to identify and synthesize relevant research and its findings. In this document, the meta-analysis of economics research network (MAER-Net) updates existing Reporting Guidelines to be consistent with community-driven best practices for the responsible use and disclosure of AI-assistance in meta-analysis research. This update is meant to further improve the transparency, replicability, and quality of meta-analyses by building upon the 2020 and 2013 Reporting Guidelines published by this Journal. Cook et al. (2026) describe the guiding principles behind the update. Future meta-analyses, whether or not they use AI, are expected to follow these updated guidelines or to be prepared to give reasons if they deviate from them.