ODISSEI and ASReview collaboration: start of ASReview Academy
Through our partnership with ODISSEI, we’re very excited to announce the start of ASReview Academy. The place where you can learn all you need to know about using ASReview to speed up your systematic review!
ODISSEI (Open Data Infrastructure for Social Science and Economic Innovations) is the national research infrastructure for the social sciences in the Netherlands. It has years of experience supporting researchers with data, computing power, and resources to conduct ground-breaking research. Recently, ODISSEI started to help researchers with state-of-the-art methodology and data science. By partnering with ASReview, researchers can now also get support in conducting AI-aided systematic reviews, namely through ASReview Academy.
The partnership with ODISSEI was also recently featured in this issue of E-data & Research (Dutch)!
In the Q&A sessions, we briefly introduce some aspects of ASReview LAB, show new developments and you can ask everything about the use of active learning for systematic literature screening. For example, questions about the importance of training data (prior knowledge), when to stop screening, and what happens under the hood of ASReview. Experts from the ASReview Team are ready to help you!
The Q&A sessions include mini-lectures, software demonstrations, and question and answer sessions with our specialists. At ASReview Academy, we work with small groups of participants. This gives you the ability to learn fast and ask all of your questions about systematic reviewing, ASReview, and machine learning.
“I like the questions and discussion on whether or not additional info should be shown during the screening like authors, journal names, or publication year. Showing this information might seem useful, but might also introduce bias during screening. During the Q&A sessions, we explain in much detail why ASReview doesn’t need this information.”
– Felix Weijdema, Information Specialist at Utrecht University
Even though the topic of machine learning and AI in systematic reviewing can be quite advanced, in the Q&A session you can ask all of your questions.
“The participants are very enthusiastic and have clever questions.”
– Jan de Boer, Information Specialist at Utrecht University
Ultimately, the goal of the Q&A sessions is not only for the researcher to be able to work with the software, but also to understand why and how it works: Turning a black box into a transparent one!
Join the ASReview Open-Science Community
Contribute to the development of the ASReview project by:
- Participating in the Q&A sessions and helping answer questions;
- Send a tweet
- Give a presentation about ASReview together at your organization;
- Participate in discussions on the ASReview Discussion Platform;
- Suggesting new features or reporting bugs;
- Improving the documentation of ASReview LAB (even correcting spelling mistakes already helps);
- Contribute to the source code.