
Expose The Flaws (Debate)
Thu, Nov 06
|Virtual Event
Why method transparency matters in single-cell and spatial analysis
Time & Location
Nov 06, 2025, 11:00 a.m. – 1:00 p.m. EST
Virtual Event
About the event

While new single-cell and spatial methods often highlight their strengths and benchmarking performance, they rarely showcase where they fail. Arpita Kulkarni calls for a cultural shift in computational biology: method developers should transparently present failure cases and educate users on limitations. This transparency is essential, especially as more biologists analyze their own data without deep computational training. Fear of peer-review rejection often discourages openness, but honest communication ultimately leads to better science and trust in the field.
Proposed Motion: "Method developers should be required to publish known limitations and failure cases alongside benchmarking results."