Project Details
Description
Images have always been the most difficult part of research articles to assess for misuse or manipulation. With support from Elsevier, the team at Image and Data Analysis Core (IDAC), at Harvard Medical School is working to develop a tool that can objectively indicate whether an image has been changed or is a duplication. The tool may ultimately feature in Elsevier’s editorial submission system.
| Status | Finished |
|---|---|
| Effective start/end date | 01/1/17 → 12/1/17 |
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Press/Media
-
Harvard and beyond: 4 ways machine learning is making researchers more efficient
Mary Walsh, Daniel Wainstock, IJsbrand Jan Aalbersberg, Maddy Parsons & Robbertjan Kalff
04/1/18
1 Media contribution
Press/Media
-
At Harvard, developing software to spot misused images in science
Mary Walsh, Daniel Wainstock & IJsbrand Jan Aalbersberg
01/1/18
1 Media contribution
Press/Media