Careers | Phone Book | A - Z Index

ESS-DIVE

EESA18 041v2 1024x815

The U.S. Department of Energy’s (DOE) Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) is a data repository for Earth and environmental science data. ESS-DIVE stores and publicly distributes data from observational, experimental, and modeling research funded by the DOE’s Office of Science within the Environmental Systems Science (ESS) activity. » Read More

Ameriflux

ameriflux tower

AmeriFlux is a network of PI-managed sites measuring ecosystem CO2, water, and energy fluxes in North, Central and South America. AmeriFlux observations have been instrumental in defining the relationships between environmental drivers and responses of whole ecosystems, which can be spatialized using machine learning methods like neural networks or genetic algorithms informed by remote sensing products.

Science Search

imagesearch example nanoparticles

A team of researchers from the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) and UC Berkeley are developing innovative machine learning tools to pull contextual information from scientific datasets and automatically generate metadata tags for each file. Scientists can then search these files via a web-based search engine for scientific data, called Science Search, that the Berkeley team is building. » Read More

Jupyter

labpreview


Project Jupyter is an open, international collaboration that develops tools for interactive computing: a process of human computer interplay for scientific exploration and data analysis. The collaboration develops applications such as the widely popular Jupyter Notebook, an open-source web app that allows users to create and share documents that contain live code, equations, visualizations and narrative text. » Read More

The Usable Software Systems (USS) group is focused on usability aspects of computational and data analysis systems. We are involved in three primary research and development mission areas a) user-centered design processes that work in scientific environments b) usable scientific workflow tools and data abstractions and c) intuitive interfaces to explore, analyze, process data and run computations on HPC and distributed systems.

Overall, our approach is distinguished by a strong focus on usability and user research, early and often in the software design process. We have learned that designing the best systems can only occur when we have the best understanding of the constraints, needs, and culture of the scientists who will use it. The USS group works closely with the Integrated Data Frameworks group on research and development of user-centered solutions.

Group Leader: Shreyas Cholia