Facing the tough task of writing and publishing a research project, researchers and academicians must be able to both visualize and write well. So says Jan Beger, sparking a debate on success in translating scientific content.
"If I had one recommendation for all the researchers here who are publishing their work, it is this: Don't just write well -- visualize well," noted Beger, global head of AI advocacy at GE Healthcare, in a LinkedIn post on 16 December. He suggested using generative AI as an aid to creating the visual research story.
"In today's landscape, it is becoming increasingly important to make your papers visually appealing," he added. "I'm talking about interesting figures, clear graphs, and visuals that highlight your findings and enhance your scientific narrative."
That's a limited view, according to Philipp Rauf, PhD, from Roche. Rich scientific discourse happens in multiple arenas.
"Scientists are already trained and/or supported to have the relevant data points ready for analysis by the scientific community," Rauf said. "Deep scientific understanding comes not from glancing over polished visualizations, neither from high-level skimming of the literature."
Intended audience -- other scientists or the general public -- is an important consideration, added Rauf, who stressed a longer look into the body of knowledge surrounding research findings.
Rauf's comments also raised the question of what it takes, ultimately, to shift a narrative.
Read the entire thread here.
