Data Science for the Humanities and Social Sciences

Are you curious about how machine learning can be used to study fragments of medieval Egyptian letters? Or how quantitative methods can help trace the monetization of misinformation on the web? Intrigued by AI but don’t know what it is? Not sure how to work with your complex collection of texts, images, and other media? Want to learn coding but don’t know where to start? 

Join us for a casual social hour (food/wine/beer) to learn about new training opportunities for students and researchers in the humanities and social sciences. During Wintersession 2023, this new set of workshops and classes, which are specifically tailored for these two communities, will cover the following:

Data literacy
Python and R at the beginner and intermediate levels
Natural language processing
Machine learning
High-performance computing 

The event will include brief presentations about the new trainings as well as a showcase of the most exciting computational work done in the humanities and social sciences. 

For questions, please contact PICSciE/RC Training Lead Jonathan Halverson (halverson@princeton.edu) or Assistant Dean for Professional Development of the Graduate School James Van Wyck (jvanwyck@princeton.edu). 

Organized by the Princeton Institute for Computational Science & Engineering and OIT Research Computing. Co-organized by the Graduate School, Center for Digital Humanities and Data Driven Social Sciences.

Participating departments include Philosophy, East Asian Studies, Office of Population Research, Center for Statistics & Machine Learning, Data and Statistical Services, Economics Statistical Services, Stokes Viz Hub (Stokes Library), Office of Research Data and Open Scholarship, and McGraw Center for Teaching and Learning.

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Jonathan Halverson
Co-hosted with: PICSciE/Research Computing, Office of Information Technology, Digital Learning Lab

Contact the organizers