reposiTUm: VisConflicts: Visualizing Conflicts of Interest in Conference Reviewing

Record link:

http://hdl.handle.net/20.500.12708/221841
https://doi.org/10.34726/11520

Title:

VisConflicts: Visualizing Conflicts of Interest in Conference Reviewing

Citation:

Tovanich, N., Thanuthanad, T., Rajendran, S., Filipov, V., Miksch, S., & Isenberg, P. (2025, November). VisConflicts: Visualizing Conflicts of Interest in Conference Reviewing [Poster Presentation]. IEEE VIS 2025, Wien, Austria. https://doi.org/10.34726/11520

reposiTUm DOI:

10.34726/11520

Publication Type:

Presentation - Poster Presentation

Language:

English

Authors:

Tovanich, Natkamon
Thanuthanad, Teppakorn
Rajendran, Sandhya
Filipov, Velitchko
Miksch, Silvia
Isenberg, Petra

Organisational Unit:

E193-07 - Forschungsbereich Visual Analytics
E056-18 - Fachbereich Visual Analytics and Computer Vision Meet Cultural Heritage

Date (published):

Nov-2025

Event name:

IEEE VIS 2025

Event date:

2-Nov-2025 - 7-Nov-2025

Event place:

Wien, Austria

Keywords:

conflict of interest; reviewer assignment; academic peer review; scholarly data; interactive visualization

Abstract:

We built VisConflicts, an interactive visualization tool designed to support conflict-of-interest (COI) detection in the academic peerreview process. It visualizes the network of relationships between authors and potential COIs, such as co-authorship, supervision, and institutional affiliation. By making these relationships transparent, our tool aims to improve the fairness and efficiency of the reviewer assignment process for IEEE VIS and other academic conferences.

Project title:

Centre for Visual Analytics Science and Technology (Laura Bassi Centre of Expertise): 822746 (FFG - Österr. Forschungsförderungs- gesellschaft mbH; Artaker Computersysteme GmbH; TDE Thonhauser Data Engineering GmbH; Smart Engine GmbH; XIMES GmbH)

Research Areas:

Visual Computing and Human-Centered Technology: 100%

Science Branch:

1020 - Informatik: 100%

License:

CC BY 4.0