Researchers are nowadays overwhelmed by thousands of findings, devoting substantial efforts to keep up with advances in their fields. Understanding scientific topics and domains is a complex endeavor that is not well supported by current systems. Regarding the need of making new discoveries from large datasets, this project aims to show how machine learning can be harnessed by leveraging the strengths of humans and computational agents to solve crowdsourcing tasks for scientific discovery.