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Article

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Title

Modeling Biological Systems Using Crowdsourcing

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2018

Published in

Foundations of Computing and Decision Sciences

Journal year: 2018 | Journal volume: vol. 43 | Journal number: no. 3

Article type

scientific article

Publication language

english

Keywords
EN
  • computer game
  • crowdsourcing
  • dynamic system
  • modeling
  • serious game
  • systems biology
Abstract

EN Crowdsourcing is a very effective technique for outsourcing work to a vast network usually comprising anonymous people. In this study, we review the application of crowdsourcing to modeling systems originating from systems biology. We consider a variety of verified approaches, including well-known projects such as EyeWire, FoldIt, and DREAM Challenges, as well as novel projects conducted at the European Center for Bioinformatics and Genomics. The latter projects utilized crowdsourced serious games to design models of dynamic biological systems, and it was demonstrated that these models could be used successfully to involve players without domain knowledge. We conclude the review of these systems by providing 10guidelines to facilitate the efficient use of crowdsourcing.

Pages (from - to)

219 - 243

DOI

10.1515/fcds-2018-0012

URL

https://www.sciendo.com/article/10.1515/fcds-2018-0012

License type

CC BY-NC-ND (attribution - noncommercial - no derivatives)

Full text of article

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Access level to full text

public

Ministry points / journal

15

Ministry points / journal in years 2017-2021

15

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