VisualCommunity: a platform for archiving and studying communities

Department of Computer Science, College of Aeronautics and Engineering
  1. Open Access Kent State
  2. Kent State University COVID-19 research and funded grants
  3. VisualCommunity: a platform for archiving and studying communities
Author(s)
Abstract

VisualCommunity is a platform designed to support community or neighborhood scale research. The platform integrates mobile, AI, visualization techniques, along with tools to help domain researchers, practitioners, and students collecting and working with spatialized video and geo-narratives. These data, which provide granular spatialized imagery and associated context gained through expert commentary have previously provided value in understanding various community-scale challenges. This paper further enhances this work AI-based image processing and speech transcription tools available in VisualCommunity, allowing for the easy exploration of the acquired semantic and visual information about the area under investigation. In this paper we describe the specific advances through use case examples including COVID-19 related scenarios.
Format
Article
Identifier(s)
10.1007/s42001-022-00170-y
Publication Date
2022-05-16
Publication Title
Journal of Computational Social Science
Extent
23
Keywords
Rights
https://rightsstatements.org/page/InC/1.0/
Community
Department of Computer Science
College of Aeronautics and Engineering
Permalink https://oaks.kent.edu/covid19ksu/visualcommunity-platform-archiving-and-studying-communities
Zhao, Y., Jamonnak, S., Bhati, D., Amiruzzaman, M., Ye, X., & Curtis, A. (2022). VisualCommunity: a platform for archiving and studying communities. Journal of Computational Social Science. https://doi.org/https://doi.org/10.1007/s42001-022-00170-y
Zhao, Ye, Suphanut Jamonnak, Deepshikha Bhati, Md Amiruzzaman, Xinyue Ye, and Andrew Curtis. 2022. “VisualCommunity: A Platform for Archiving and Studying Communities”. Journal of Computational Social Science. https://doi.org/https://doi.org/10.1007/s42001-022-00170-y.
Zhao, Y., S. Jamonnak, D. Bhati, M. Amiruzzaman, X. Ye, and A. Curtis. VisualCommunity: A Platform for Archiving and Studying Communities. Journal of Computational Social Science, 16 May 2022, doi:https://doi.org/10.1007/s42001-022-00170-y.