Crowdsourcing for bioinformatics

Crowdsourcing for bioinformatics

MOTIVATION Bioinformatics is faced with a variety of problems that require human involvement. Tasks like genome annotation, image analysis, knowledge-base population and protein structure determination all benefit from human input. In some cases, people are needed in vast quantities, whereas in others, we need just a few with rare abilities. Crowdsourcing encompasses an emerging collection of a...

Crowdsourcing 1 Running head: CROWDSOURCING Crowdsourcing: A Model for Leveraging Online Communities

Author note: Daren C. Brabham, Ph.D., is an assistant professor in the School of Journalism and Mass Communication at the University of North Carolina at Chapel Hill. Early iterations of the crowdsourcing typology presented here were developed through a 2009 white paper with Noah Friedland for the Friedland Group, and presentations at the 2010 Stakeholder Engagement online conference and the 20...

Crowdsourcing for Open Innovations

Under very complex environment, innovation-oriented crowdsourcing is becoming critical because it is not only the result of cumulative dynamic interaction involving many stakeholders, but also is a social, spatially embedded, and interactive learning process that cannot be understood independently of its institutional and cultural context. Bringing together different crowdsoursing phenomena, th...

Crowdsourcing for Ontology Development

The Development of Ontology Ontologies are generally developed by a small group of experts, but it is not clear if this is the best approach. Costs can be prohibitive and assembling suitable experts can be time-consuming.  Besides, even experts have difficulty keeping up with advances in knowledge in the open, dynamic World Wide Web environment. Typical problem tasks in ontology development ...

Crowdsourcing for Software Engineering