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 a 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.
Software Carpentry
Software Carpentry is a volunteer organization whose goal is to make scientists more productive and their work more reliable by teaching them basic computing skills.
Using Data Science to Improve COVID-19 Response in Developing Countries
BIDS Senior Fellow Josh Blumenstock is offering this set of three data science projects through UC Berkeley's Undergraduate Research Apprentice Program (URAP) for the Fall 2020 academic semester. Eligible undergraduates may apply online August 19-31, 2020.
Research Ready Government Archives
This project is being offered through UC Berkeley's Undergraduate Research Apprentice Program (URAP). For the Fall 2020 semester, this project is seeking 2 students with experience in text analysis and data visualization. Eligible undergraduates may apply online August 19-31, 2020.
Demo Watch: Discovering Patterns of Peace and Violence between Police and Protesters
This project is being offered through UC Berkeley's Undergraduate Research Apprentice Program (URAP). For the Fall 2020 semester, this project is seeking 5 students with experience & interest in data modeling and supervised ML. Eligible undergraduates may apply online August 19-31, 2020.
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.