The field of evidence synthesis plays a pivotal role in informing environmental decision-making processes by providing robust and comprehensive assessments of available evidence. With the rapidly increasing volume and complexity of scientific literature, traditional evidence synthesis methods may face challenges in terms of efficiency, accuracy, and scalability. The rapid pace of policy development also necessitates timely and updated syntheses of research. 

To address these limitations, the rise of artificial intelligence (AI) and related new technologies presents an opportunity to enhance and streamline various stages of the evidence synthesis process.

This newly opened collection in Environmental Evidence is calling for papers on applications of AI and related technologies in systematic evidence synthesis. Specifically, the collection is open for a wide range of topics -addressing both the existing applications of AI (with a special focus on large language models) in evidence synthesis and the potential future directions in this field. The collection aims to examine AI applications across various stages of the review process, offering a comprehensive analysis of both the benefits and limitations of AI in evidence synthesis. Through critical evaluations and addressing potential criticisms, the submissions to this collection should contribute to the development of responsible and ethical AI practices in the field.

Learn more about the collection and submit your paper here by 28th February 2025 .