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Getting Started with Sysrev:: A Platform for Systematic Literature Reviews

Дата публикации: 06-10-2026 15:00:00

Join us for a hands-on introduction to Sysrev, Princeton University’s newly licensed campus platform for systematic literature reviews and data extraction. In this session, Product Lead TJ Bozada will walk through setting up your first project, automating document screening with built-in machine learning models and the Sysrev Auto-labeler, designing custom data extraction forms, and collaborating with lab members. Learn how to transform hundreds or thousands of research papers into structured, publication-ready evidence maps in a fraction of the time. Bring a research topic or paper collection to follow along.
Curious if Sysrev is for you? Watch this 2-minute video for a brief introduction: Welcome to SysRev (2min)
Open to all Princeton faculty and staff.
This event will be recorded.
About the speaker: TJ Bozada is Product Lead at Insilica, creators of Sysrev, where he helps commercial, government, and academic researchers design efficient, rigorous, and transparent evidence synthesis projects.

Основное содержимое страницы с новостью.

Join us for a hands-on introduction to Sysrev, Princeton University’s newly licensed campus platform for systematic literature reviews and data extraction. In this session, Product Lead TJ Bozada will walk through setting up your first project, automating document screening with built-in machine learning models and the Sysrev Auto-labeler, designing custom data extraction forms, and collaborating with lab members. Learn how to transform hundreds or thousands of research papers into structured, publication-ready evidence maps in a fraction of the time. Bring a research topic or paper collection to follow along.

Curious if Sysrev is for you? Watch this 2-minute video for a brief introduction: Welcome to SysRev (2min)

Open to all Princeton faculty and staff.

This event will be recorded.

About the speaker: TJ Bozada is Product Lead at Insilica, creators of Sysrev, where he helps commercial, government, and academic researchers design efficient, rigorous, and transparent evidence synthesis projects.

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