Combining Small Groups and Large Scale Collaboration
2013
Faculty
This research investigates the way that teams and communities collaborate online, with two aims: to develop new technologies to enhance collaboration and to improve our theoretical understanding of small-group dynamics. For example, one online community under study is MathOverflow, which has successfully adapted existing technology, in this case a question answering platform, to engage in problem solving in mathematics on a large scale. A detailed study of collaborations on MO revealed that mathematicians were making use of Q&A platform to broadcast problems to a large crowd, as well as commenting tools to discuss solutions and build on each others work. This work suggests that rather than shoehorning the functionality of existing large-scale collaboration platforms, systems built to support scientific problem solving should aim to strike a balance between small group discussion and large-scale crowdsourcing. In the coming years, increasing our ability to tackle scientific problems collectively, via communities like MathOverflow, will significantly impact progress in science, technology, and innovation.
Research Areas
Crowdsourcing, Social Computing