A visualization tool that visually “maps out” researchers based on their research interests and publications, based on embeddings generated by natural language processing (NLP) techniques

Brought to you Jon Saad-Falcon, Omar Shaikh, Jay Wang, Austin Wright, Sasha Richardson, and Polo Chau.

Discovering research expertise at institutions can be a difficult task. Manually curated university directories easily become out of date and often lack the information necessary to understand a researcher’s interests and past work, making it harder to explore the diversity of research at an institution and pinpoint potential collaborators. PeopleMap solves these problems! To generate a PeopleMap, you only need to provide the researchers’ Google Scholar profile URLs.

Click the following links to access two live demos:

https://poloclub.github.io/people-map/ideas/

https://poloclub.github.io/people-map/ml/

We have tested PeopleMap on Google Chrome, Firefox, Safari. It should run on all modern web browsers.

For steps on how to set up and deploy PeopleMap, please see PeopleMap's GitBook documentation at:

https://app.gitbook.com/@poloclub/s/people-map/

PeopleMap was created by Jon Saad-Falcon, Omar Shaikh, Jay Wang, Austin Wright, Sasha Richardson, and Polo Chau from Georgia Tech.

We thank everyone in the Polo Club of Data Science for assisting us in the development of the project.

The software is available under the MIT License.

If you have any questions, feel free to open an issue or contact Jon Saad-Falcon.