News

UC Berkeley Celebrates Love Data Week with Great Talks and Tips

Berkeley Distinguished Lectures in Data Science - Spring 2018 Series

Love Data Week - February 12-16, 2018

The University Library, Research IT, and Berkeley Institute for Data Science (BIDS) invite you to a series of events on February 12th-16th for Love Data Week 2018. Love Data Week is a nationwide campaign designed to raise awareness about data visualization, management, sharing, and preservation.

Automatic MCMC hyperparameter sensitivity measurements in Stan -- A worked example

We will now follow up our previous post on automatic MCMC hyperparameter sensitivity with a detailed use case taken from the Stan examples. All the code to produce the results below, as well as more examples, can be found in the examples folder on the rgiordan/StanSensitivity git repo. This simple, real-life example has a number of interesting features:

UC Berkeley Launches 'Foundations of Data Science' Certificate Program on edX

UC Berkeley's Division of Data Sciences and edX have recently announced that Berkeley's popular Foundations of Data Science course will be available online this spring as a Foundations of Data Science Professional Certificate Program.

Automatic MCMC hyperparameter sensitivity measurements in Stan

A Bayesian approach to statistical modeling comes with many advantages. For example, it's the only logically coherent way to model uncertainty of parameter estimates! Being Bayesian has never been easier than it is now, thanks to high-quality, easy-to-use automatic tools like Stan.

Data Science Discovery Program (formerly known as the BIDS Collaborative) Launches New Plans and Projects for Spring 2018

The newly-launched Data Science Discovery Program (formerly known as the BIDS Collaborative) provides undergraduates with opportunities to engage in hands-on, team-based research opportunities by connecting them with cutting-edge data science research projects, community impact groups, entrepreneurship ventures, and educational initiatives across UC Berkeley. 

BIDS' Karthik Ram receives NSF award to design "US Research Software Sustainability Institute" (URSSI)

BIDS Research Scientist Karthik Ram has been awarded NSF funding to lead a project toward designing and creating the US Research Software Sustainability Institute (URSSI), a community hub that will provide services to help scientists create improved, more sustainable software.

BIDS receives Sloan Foundation Grant to contribute to NumPy development

Binder 2.0 has arrived!

The Berkeley Institute for Data Science (BIDS) is pleased to announce the release on Binder 2.0! Binder is a collection of technology that makes it easy to create sharable, interactive computing environments that run in the cloud. It makes it possible to run a server that enables users to specify their computational environment with commonly-used text files (such as requirements.txt for python users).