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Jim Regetz

Jim leads an environmental data science program at NCEAS geared toward building infrastructure, tools, and capabilities that enable our community to achieve more impactful research outcomes through better data management, modeling, analysis, and visualization. Complementing this technology program, Jim is also passionate about expanding data science literacy & expertise in the practitioner community. Throughout his career, Jim has served as a Data Science leader & researcher applying diverse strategies for transforming data into valuable information.

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Engaging Postdoctoral Researchers in advanced, national-scale synthesis collaborations

Principal Investigator(s): Madeleine Rubenstein, Douglas Beard, Shawn L. Carter, Benjamin S. Halpern, Jackson Valler

Artist in Residence Martina Fröschl

Digital artist Martina Fröschl will exhibit her art for Santa Barbara's first Thursday art walk on September 5th, 2024.

Ian Nesbitt (he/him)

Ian helps develop open-source software for use in science as part of the NCEAS Informatics team. Ian's work as a science industry software developer and as a Master's student included constructing open-source tools for scientific analysis and visualization of geophysical data. He also managed a number of remote citizens science seismic and weather systems and continues to be a strong advocate of citizen science. Ian is working on an M.S.

Bon appetit! 2025 Morpho Working Groups address global fishing trade and fisheries nutrition

Two new working groups join NCEAS’ Morpho Program to synthesize global datasets and incorporate their findings into policy and resource management.

Climate and Collaboration: environmental science and synthesis for a complex future

NCEAS and the US Geological Survey (USGS) partner to engage a cohort of postdocs to address national-scale questions about climate change and aquatic flows.

Liying Li (she/her)

Liying Li is a postdoc researcher for the Gulf Ecosystem Initiative at NCEAS with a research interests on birds of the Gulf and multi trophic level interactions. She has interdisciplinary background that combines environmental engineering, environmental policy, and sustainability management. She has used quantitative data analytics for climate change impact analysis on agriculture, resources management, and conservation plannings with species distribution modeling.

Alyona Kosobokova

As a Research Software Engineer Alyona focuses on advancing big data collection and discovery through the Permafrost Discovery Gateway project, supporting scientists and researchers in the Arctic permafrost region. Alyona is trained in astrophysics and astronomical data processing. In addition to her academic experience, she built a career as a full-stack software engineer.

Scenes from the 2023 Environmental Data Science Summit

Harnessing Diversity in Environmental Data Science