News

Veridical Data Science - Yu/Kumbier propose the PCS framework for navigating the data science life cycle

In their new PNAS article, Veridical Data Science, BIDS Senior Fellow and UC Berkeley Statistics/EECS Professor Bin Yu, along with former doctoral student Karl Kumbier (now at UCSF), unveil the PCS framework for navigating and quality-controlling the data science life cycle in all research domains.

BIDS welcomes Urban Displacement Project's conference on "Predicting Neighborhood Change Using Big Data and Machine Learning"

Predicting Neighborhood Change Using Big Data and Machine Learning: Potential and Pitfalls

BIDS welcomes this guest blog post from Karen Chapple, co-founder of Berkeley's Urban Displacement Project:

BIDS Data Science Fellowships - Call for applications, due April 1, 2020

The Berkeley Institute for Data Science (BIDS) announces a call for applications for the BIDS Data Science Fellowship Program. Successful applicants will be offered two-year appointments at BIDS beginning in the 2020 Fall Semester. Applications are due on April 1, 2020. 

BIDS Data Science Research Seminars - Spring 2020 speakers announced

BIDS Data Science Research Seminars feature Berkeley faculty and BIDS collaborators doing visionary research that illustrates the character of data science in this new decade. The series is offered to engage our diverse campus community and to enrich connections, discourse, and discovery among colleagues. Stay tuned: additional speakers will be added to the schedule as the term progresses.

What's the deal with p-values and their friend, the confidence interval?

Much of ecological research involves making a decision. Does implementing a particular management strategy significantly increase the species diversity of a region? Is the amount of tree cover significantly associated with the number of deer? Do bigger individuals of a species tend to have longer life expectancies?

A new name for UC Berkeley’s data science division: the Division of Computing, Data Science, and Society

Berkeley's Division of Data Science and Information is now officially named the Division of Computing, Data Science, and Society.

SciPy 1.0: fundamental algorithms for scientific computing in Python

SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.

Celebrate Love Data Week 2020 at UC Berkeley, February 10-14

NASA Berkeley Aviation Data Science Seminars: New weekly lecture series launches on January 22

UAM@Berkeley, the Berkeley Institute for Transportation Studies, and BIDS will together launch the NASA-Berkeley Aviation Data Science Seminar Series on January 22, 2020. Lectures will be held weekly on Wednesdays in Stanley 106 at 11:00 AM - 12:00 PM, through May 6.