Researchers from the Human-Computer Interaction Institute are working on a system they call Knowledge Accelerator. A system that uses a machine-learning program to sort and organize information uncovered by individuals who are focused on just a small segment of the larger project. The computer serves as a guide for individuals working collaboratively on a large project, without requiring any one person to have a full picture. Thus removing the possibilities for a bottleneck, as is often the case in crowdsourced tasks.

Read more about this project from Bosch and the HCII, which was presented at CHI 2016, the Association for Computing Machinery's Conference on Human Factors in Computing, in San Jose, Calif.

Link to Project
Computer Guides Humans in Crowdsourced Research