Description

While science is becoming more open, scholarly publication and information-sharing processes can create barriers to participation. Our project aims to data mining and visualization of publication, web, and social media content to measure participation and identify potential barriers to inclusion. We are seeking a motivated research assistant to work with us in a virtual or hybrid format.

The ideal student candidate will:

• be proficient in R
• have an interest in data mining and/or information visualization
• be eager to learn new skills

Depending on your interests, your work may involve any combination of the following:

1. developing open source data-pipelines (extraction, transformation)
2. developing data quality measures
3. web- and social-media mining approaches
4. creating reproducible reports
5. developing interactive data visualizations. You will gain experience with methods in data science and meta-science, advance our understanding of the science-of-science, and have the opportunity to contribute to white papers, academic publications, and open-source software

MIT Libraries is an environment that welcomes anybody, any mind – including all genders – and particularly encourages applications from underrepresented minorities, women, disabled applicants, and veterans.

Compensation

$20/hour

Application information

To apply, send a resume to Micah Altman, Research Scientist, CREOS.

Work hours

5-15 hours per week (flexible)

Student participation dates

Summer 2023

Fall 2023