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.

This work from Bosch and the HCII was presented at CHI 2016, the Association for Computing Machinery's Conference on Human Factors in Computing, in San Jose, Calif. Learn more in the article, "Computer Guides Humans in Crowdsourced Research." 

Link to Project
"The Knowledge Accelorator: Big Picture Thinking in Small Pieces"