Concerns around rigor, transparency, and reproducibility have increasingly come to the forefront of biomedical research. In response, the research community has developed a range of standards, guidelines, and best practices to improve how studies are conducted and reported. However, with the rapid growth of scientific publications, manual oversight alone is no longer sufficient.
This webinar explores how natural language processing (NLP) methods can support efforts to enhance the rigor and integrity of biomedical research communication. Focusing on textual artifacts such as clinical trial protocols, research manuscripts, and published articles, the presentation highlight two projects
- evaluating methodological and reporting quality in clinical trial publications, and
- assessing citation integrity in the biomedical literature.
The webinar also includes a discussion of key challenges and opportunities at the intersection of NLP and rigorous science.
Presenter
Halil Kilicoglu, PhD