What does a scientist’s search strategy look like? To answer this question, researchers at the University of Chicago’s Knowledge Lab are using machine learning to understand how scientists figure out what topic to research next, where research opportunities are, and how innovations come into existence. In this PLOScast, Elizabeth Seiver speaks with Eamon Duede, the Executive Director of Knowledge Lab, about the science behind how new scientific discoveries are made.
In this episode they discuss:
- Scientists search strategy for discovering research questions
- Network science and environmental factors for generating theories
- How healthy is science?
- What’s next for scientific research methods?
This is the first part of a two-part series discussing the use of large-scale computation to help understand how knowledge comes into existence.
If you are interested in learning more, follow Eamon on Twitter @KnowLab and check out the links below:
- Episode 17 Part 2: Science of Peer Review featuring Eamon Duede
- Knowledge Lab at the University of Chicago
- SCIgen auto paper generator and a Wikipedia article about its papers being accepted to conferences and journals
- What Technology Wants by Kevin Kelly
- The “Larry Potter” book dispute
- Here’s an example of using RFID tags to track people at conferences
- The 2016 WikiCite Conference
- PLOScast episode featuring Alice Meadows of ORCID and a link about the PLOS adoption of mandatory ORCIDs for authors
For further reading:
- The paper, “Choosing experiments to accelerate collective discovery. Proceedings of the National Academy of Sciences” by Rzhetsky, A., Foster et al. discusses scientists’ search strategy by mapping citations.
- Another study by Uzzi Mukherjee and colleagues, which was published in Science, explains their finding that “the highest-impact papers were not the ones that had the greatest novelty, but had a combination of novelty and otherwise conventional combinations of prior work.”
- The New England Complex Systems Institute provides a general study of complex systems.
- Researchers analyzed millions of abstracts on MEDLINE to show how biomedical research connects and evolves in the paper “Weaving the fabric of science: network models of science’s unfolding structure.”