Open Collaboration over the Internet ranges from simple tasks, such as used in crowdsourcing on Amazon Mechanical Turk, to more complex ones, such as writing articles on Wikipedia, writing open source software (F/OSS), or solving scientific problems (Innocentive).
All Open Collaboration projects and applications have the following common characteristics: they require adequate motivation of users to succeed; they need a method for managing the quality of contributions, and they are coordinated efforts.
The required coordination increases with the increasing complexity of the collaborative task: for Amazon Mechanical Turk, the coordination is simple, while for writing F/OSS software, it is much more complex.
The understanding of motivation for contributions to Open Collaboration projects requires interdisciplinary research that combines expertise from computer and social science, as well as the law, management science and economics.
The goal of the workshop is to gather ideas and research experience from diverse areas of research, such as research on crowdsourcing, on F/OSS software or on the Wikipedia knowledge community.
A short summary of the technical issues in the focus of the workshop.
This workshop solicits research papers on new algorithms or methods that would aim to achieve any or all of three objectives:
- Improve the quality of open collaboration
- Increase the motivation of open collaboration or reduce the cost of financial motivation
- Decrease the time needed to finish collaborative tasks, for example through better coordination
The performance of such algorithms should be verified through real experiments with crowdsourcing platforms, analysis of trace data from real platforms or through social simulation.