Social Sciences

Jupyter

Project Jupyter is a community of open-source developers, scientists, educators, and data scientists. Its goal is to build open-source tools and create community that facilitates scientific research, reproducible and open workflows, education, computational narratives, and data analytics. Jupyter supports over 100 programming languages, and connects data analytics tools across a range of disciplines and communities.

There are several core projects of Jupyter that the Berkeley Institute for Data Science supports:

scikit-image

Scikit-image is a community-driven Python project, consisting of a vast collection of high-quality, peer-reviewed image processing algorithms that are made available to a global community of researchers free of charge and free of restriction. The library is widely used in many different fields, including astronomy, biomedical imaging, and environmental resource management. Scikit-image was founded by BIDS Research Data Scientist Stéfan van der Walt in 2009.

Demo Watch: Discovering Patterns of Peace and Violence between Police and Protesters

Demo Watch invites the public to participate in the world’s largest and most sophisticated project researching the dynamics of political contestation and violence. With vast and intricate data, the project is identifying common sequences of interaction between protesters and governments and key decision points that result in violence, peace, and everything in between. Findings will be used to help prevent future political violence.

Online Hate Index

BIDS co-invests in this project with the D-Lab, UC Berkeley’s home for data science training in the humanities and social sciences, to support the development of natural language processing (NLP) and machine learning (ML) tools for the scalable detection of online hate speech. 

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