Software, tools and infrastructure
With the help of machine learning techniques, software like ASReview can assist researchers in screening massive amounts of textual data while reducing the workload and time required for manual reviewing. Our research lab is working on creating and testing various tools and software such as ASReview, multiple imputation, extensions, and Python packages.
The development of such software and tools has revolutionized the research process, making it more streamlined and effective. Additionally, infrastructure such as high-performance computing systems and cloud computing platforms enable researchers to handle large datasets and complex algorithms, further enhancing the efficiency and accuracy of the review process.
Essentially, the lab is trying to develop technology that will be useful to other researchers and help them achieve their goals more efficiently.
