ORI: Methods and tools for scalable figure reuse detection with statistical certainty reporting
Scalable methods for figure reuse detection
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Acuna lab is looking for students to optimize science using machine learning (new Fall 2019)
Looking for Ph.D. and Master’s students to work on exciting applications of artificial intelligence and pattern recognition to automate science.
NSF: Optimizing scientific peer review
This project analyzes factors that affect the outcomes of peer review, uses these to improve reviewer selection, develops software that optimizes reviewer as...
Bioscience-scale automated detection of figure element reuse
Daniel E Acuna, School of Information Studies, Syracuse University Paul S Brookes, University of Rochester Medical Center Konrad P Kording, University of Pen...
IST 718: Big Data Analytics
This is an advanced course: There seem to be no official pre-requisites in the Syracuse University’s catalog system for taking this class. Most students ha...
NSF: EAGER: Improving scientific innovation by linking funding and scholarly literature
This project identifies scientists and organizations and their topical interests, enabling the tracking of past productivity and impact.