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Exploring CRISPR through academic network analysis and visualization




MAS: Media Arts and Sciences

Faculty Supervisor:

Joseph Jacobson

Faculty email:


Apply by:

December 1st, 2020


application should be emailed to James Weis (jww@media.mit.edu) and Jacob Montz (jmontz@mit.edu)

Project Description

The Molecular Machines group, in partnership with the MIT Museum, is looking for a new student to take on a collaborative project aimed at computing on large-scale graph databases to understand and visualize the rise of CRISPR. Using an existing graph database consisting of high-quality academic publications, as well as time-series of calculated metrics, the team aims to explore the time-based network of researchers developing this radical technology. The final deliverables are to be determined by the student, but must include a dataset that can be used to develop a visualization for display in the Museum.


Substantial experience with Python is required. Experience with databases (especially graph databases), and introductory algorithms and data structures, will be helpful, and exposure to machine learning would be ideal. An interest in data visualization and in the history of science/CRISPR is important.