Introducing the Noisy Label Filter (NLF) procedure in systematic reviews
The ASReview team developed a procedure to overcome replication issues in creating a dataset for simulation…
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About
ASReview uses state-of-the-art active learning techniques to solve one of the most interesting challenges in systematically screening large amounts of text: there’s not enough time to read everything!
Community
The project has grown into a vivid worldwide community of researchers, users, and developers. ASReview is coordinated at Utrecht University and is part of the official AI-labs at the university.
Free, Open and Transparent
The software is installed on your device locally. This ensures that nobody else has access to your data, except when you share it with others. Nice, isn’t it?
- Free and open source
- Local or server installation
- Full control over your data
- Follows the Reproducibility and Data Storage Checklist for AI-Aided Systematic Reviews
In 2 minutes up and running
With the smart project setup features, you can start a new project in minutes. Ready, set, start screening!
- Create as many projects as you want
- Choose your own or an existing dataset
- Select prior knowledge
- Select your favorite active learning algorithm
Go!
Class 101
Three modi to choose from
ASReview LAB can be used for:
- Screening with the Oracle Mode, including advanced options
- Teaching using the Exploration Mode
- Validating algorithms using the Simulation Mode
We also offer an open-source research infrastructure to run large-scale simulation studies for validating newly developed AI algorithms.
Follow the development
Open-source means:
- All annotated source code is available
- You can see the developers at work in open Pull Requests
- Open Pull Request show in what direction the project is developing
- Anyone can contribute!
Give a GitHub repo a star if you like our work.
Github OrganizationContibuting GuidelinesCode of Cunduct
Join the community
A community-driven project means:
- The project is a joined endeavor
- Your contribution matters!
Join the movement towards transparent AI-aided reviewing
Discussion Platform5 Ways to Get Involved
Beginner -> User -> Developer -> Maintainer
317K+
Downloads
100+
Organizations
474+
Github stars
Join the ASReview Development Fund
Many users donate their time to continue the development of the different software tools that are part of the ASReview universe. Also, donations and research grants make innovations possible!
Blog
Seven ways to integrate ASReview in your systematic review workflow
Seven ways to integrate ASReview in your systematic review workflow Systematic reviewing using software implementing Active…
Active Learning Explained
Active Learning Explained The rapidly evolving field of artificial intelligence (AI) has allowed the development of…
the Zen of Elas
The Zen of Elas Elas is the Mascotte of ASReview and your Electronic Learning Assistant who…
Five ways to get involved in ASReview
Five ways to get involved in ASReview ASReview LAB is open and free (Libre) software, maintained…
Connecting RIS import to export functionalities
What’s new in v0.19? Connecting RIS import to export functionalities Download ASReview LAB 0.19Update to ASReview…
Meet the new ASReview Maintainer: Yongchao Ma
Meet Front-End Developer and ASReview Maintainer Yongchao Ma As a user of ASReview, you are probably…
UPDATED: ASReview Hackathon for Follow the Money
This event has passed The winners of the hackathon were: Data pre-processing: Teamwork by: Raymon van…
What’s new in release 0.18?
More models more options, available now! Version 0.18 slowly opens ways to the soon to be…
Simulation Mode Class 101
Simulation Mode Class 101 Have you ever done a systematic review manually, but wondered how much…
ODISSEI and ASReview collaboration: start of ASReview Academy
ODISSEI and ASReview collaboration: start of ASReview Academy Through our partnership with ODISSEI, we’re very excited…
ASReview LAB Class 101
ASReview LAB Class 101 Welcome to ASReview LAB class 101, an introduction to the most important…
