ERG has a small core faculty but a much larger group (100+) of affiliated faculty. Affiliated faculty are based in other departments on campus or at the Lawrence Berkeley National Laboratory, and share ERG’s commitment to shared learning and interdisciplinary work. They are advisors, mentors, or employers to ERG students, and serve on master’s project, […]
At times the problem of understanding phenomena is one of seeing. That is why Danielle explores new ways of demystifying complexity through visual representation. She seeks new techniques to illustrate often-forgotten, yet fundamental dependencies between human society and the natural world. One such technique is terrestrial laser scanning (also known as LIDAR), which she used to create a 3-D model of her ecological study site in the Sierra Nevada. This along with her seedling research seeks to inform the uncertain future of resource management.
Monitoring and Projecting the Impacts of Climate Change with Emerging Environmental Datasets and Machine Learning (PhD ’20) Ian works to provide decision-makers with quantitative, high-resolution projections of the socioeconomic impacts of climate change, focusing on damaging extreme events like tropical cyclones. His research blends dynamic modeling, large socio-environmental datasets, and emerging econometric and machine learning […]
Land Use in Renewable Energy Planning (PhD ’18) Inspired by the possibility of ecologically-bounded growth, Grace is interested in water and land use impacts of energy technologies; water management that sustains agriculture, energy production, and biodiversity; and the role of policy analysis in decision-making. She is currently merging life cycle assessment, GIS, and optimization methods […]