Gaming for (citizen) science: Exploring motivation and data quality in the context of crowdsourced science through the design and evaluation of a social-computational system

Nathan R. Prestopnik, Kevin Crowston

Research output: Chapter in Book/Entry/PoemConference contribution

43 Scopus citations

Abstract

Citizen Sort, currently under development, is a web-based social-computational system designed to support a citizen science task, the taxonomic classification of various insect, animal, and plant species. In addition to supporting this natural science objective, the Citizen Sort platform will also support information science research goals on motivation for participation in social-computation and citizen science. In particular, this research program addresses the use of games to motivate participation in social-computational citizen science, and explores the effects of system design on motivation and data quality. A design science approach, where IT artifacts are developed to solve problems and answer research questions is described. Research questions, progress on Citizen Sort planning and implementation, and key challenges are discussed.

Original languageEnglish (US)
Title of host publicationProceedings - 7th IEEE International Conference on e-Science Workshops, eScienceW 2011
Pages28-33
Number of pages6
DOIs
StatePublished - 2011
Event7th IEEE International Conference on e-Science Workshops, eScienceW 201 - Stockholm, Sweden
Duration: Dec 5 2011Dec 8 2011

Publication series

NameProceedings - 7th IEEE International Conference on e-Science Workshops, eScienceW 2011

Other

Other7th IEEE International Conference on e-Science Workshops, eScienceW 201
Country/TerritorySweden
CityStockholm
Period12/5/1112/8/11

Keywords

  • Citizen Science
  • Data Quality
  • Design
  • Design Science
  • Games
  • Gaming
  • Motivation
  • Participation
  • Social Computational Systems

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Management Science and Operations Research

Fingerprint

Dive into the research topics of 'Gaming for (citizen) science: Exploring motivation and data quality in the context of crowdsourced science through the design and evaluation of a social-computational system'. Together they form a unique fingerprint.

Cite this