ORI: Methods and tools for scalable figure reuse detection with statistical certainty reporting
Scalable methods for figure reuse detection
From the archive.
Earlier research updates, courses, and opportunities.
Each entry retains its original publication date.
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 assignments, and evaluates the resulting models in the real-world context of a scientific journal, major scientific conferences, and massive open, online courses (MOOCs)...
Bioscience-scale automated detection of figure element reuse
Daniel Acuna, School of Information Studies, Syracuse University Paul S Brookes, University of Rochester Medical Center Konrad P Kording, University of Pennsylvania
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 have already taken IST 687 - Introduction to Data Science, which is a nice introduction to the field. However, students will...
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.