Title: Writing a manuscript in one hour: Integrating analytics and AI through the chisquares platform
Abstract:
Manuscript preparation remains one of the most time-consuming stages in the research process, requiring data transfer between multiple tools for analysis, writing, referencing, and formatting. This fragmentation increases the likelihood of errors, inefficiency, and delays, particularly for researchers with limited resources. The Chisquares Platform introduces a unified approach by integrating data analysis, writing, and publication into a single, automated system. It employs a rules-based analytical engine for 100% reproducible results and a controlled, risk-based AI framework to generate text for introductions, methods, and discussions without interacting with raw data. In a live demonstration using publicly available health datasets, manuscripts that traditionally take weeks to develop were completed in under one hour with comparable quality. Statistical results, tables, and references are automatically formatted to meet journal standards, eliminating the need for external tools. The Chisquares Platform thus represents a major advance in accelerating scientific communication and closing the global gap in research productivity. During the conference, we will demonstrate the complete workflow using open-access health data to show how Chisquares performs statistical analysis, generates text for methods and results, and formats tables, figures, and references automatically. Participants will see how the platform’s rule-based computation ensures 100% reproducibility, while a risk-based AI framework assists only in low-risk tasks such as paraphrasing and summarizing results. This presentation will include a live example of replicating a published study using CDC’s public health data to highlight how Chisquares produces identical analytical outcomes compared to traditional coding-based approaches—at a fraction of the time. The discussion will address implications for improving global research productivity and how such automation can redefine efficiency and accessibility in scientific publishing.
Keywords: Manuscript writing, Automation, AI-assisted research, Efficiency, Reproducibility
