Ponisio-deValpine: Effective Sample Size

One size does not fit all: Customizing MCMC methods in ecological models 

/ February 28, 2020

Former BIDS Data Science Fellows Lauren Ponisio (now an Assistant Professor in the Department of Entomology at UC Riverside) and Daniel Turek (now an Assistant Professor of Statistics at Williams College), along with BIDS Senior Fellow Perry de Valpine (Associate Professor of Environmental Science, Policy, and Management at UC Berkeley) have published a paper about customizing MCMC methods in ecological models using the open source software NIMBLE and JAGS.

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

Marsha Fenner / February 27, 2020

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.

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

Karen Chapple / February 26, 2020

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

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

/ February 21, 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. 

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BIDS Data Science Research Seminars - Spring 2020 speakers announced

Marsha Fenner / February 19, 2020

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.

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

Sara Stoudt / February 13, 2020

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?

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

/ February 5, 2020

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

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SciPy 1.0: fundamental algorithms for scientific computing in Python

/ February 3, 2020

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.