Ask the crowd: Robots learn faster, better with online helpers

University of Washington computer scientists have shown that crowdsourcing can be a quick and effective way to teach a robot how to complete tasks. Instead of learning from just one human, robots could one day query the larger ...

Crowdsourcing speeds up earthquake monitoring

Data produced by internet users can help to speed up the detection of earthquakes. Fast and accurate information is essential in the case of earthquakes: Epicentre location, depth and magnitude are minimum requirements to ...

Crowdsourcing used in Genghis Khan tomb search

Researchers from the University of California San Diego have written "Crowdsourcing the Unknown: The Satellite Search for Genghis Khan," published last month on PLOS ONE, the peer-reviewed, open-access, online publication. ...

Police use new tool to source crowds for evidence (Update)

An annual spring party in a Southern California beach town devolved into a riot last month when revelers turned violent, rocking cars, smashing windows and throwing rocks. Dozens were injured and about 50 people ended up ...

Making crowdsourcing more reliable

Researchers from the University of Southampton are designing incentives for collection and verification of information to make crowdsourcing more reliable.

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Crowdsourcing

Crowdsourcing is the act of sourcing tasks traditionally performed by specific individuals to a group of people or community (crowd) through an open call.

Jeff Howe established that the concept of crowdsourcing depends essentially on the fact that because it is an open call to a group of people, it gathers those who are most fit to perform tasks, solve complex problems and contribute with the most relevant and fresh ideas.

For example, the public may be invited to develop a new technology, carry out a design task (also known as community-based design or "design by democracy" and distributed participatory design), refine or carry out the steps of an algorithm (see human-based computation), or help capture, systematize or analyze large amounts of data (see also citizen science).

The term has become popular with businesses, authors, and journalists as shorthand for the trend of leveraging the mass collaboration enabled by Web 2.0 technologies to achieve business goals. However, both the term and its underlying business models have attracted controversy and criticisms.

This text uses material from Wikipedia, licensed under CC BY-SA