Using demographics toward efficient data classification in citizen science: a Bayesian approach

Public participation in scientific activities, often called citizen science, offers a possibility to collect and analyze an unprecedentedly large amount of data. However, diversity of volunteers poses a challenge to obtain accurate information when these data are aggregated. To overcome this problem...

Full description

Bibliographic Details
Main Authors: Pietro De Lellis, Shinnosuke Nakayama, Maurizio Porfiri
Format: Article
Language:English
Published: PeerJ Inc. 2019-11-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-239.pdf