Steps to Greatly Reducing the Number and Impact of Megafires
Center for Computational Biology (CCB): Rasmus Nielson
Enabling Low-Carbon Communities: Smart Planning Tools for Place-Based Solutions
NumPy is the fundamental array package underpinning the Scientific Python ecosystem. BIDS hosts a team of four core developers that work with the NumPy community to develop the library in preparation for the next decade of data science.
NumPy contains, among other things, the following:
Big Data Mapping: Modern Tools for Geographic Analysis and Visualization
Data Science Discovery Program
NIMBLE: Numerical Inference for Hierarchical Models Using Bayesian and Likelihood Estimation
NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical models and computationally intensive methods. NIMBLE is built in R but compiles your models and algorithms using C++ for speed.
Data Science Studies Berkeley
This working group designs and conducts research projects across disciplines and methods to understand the challenges posed by data scientists’ practices in the academic context. In collaboration with our partner institutions, it also develops innovative quantitative and qualitative metrics to measure the evolution of data science environments.