Today’s lecture is presented by Tamma Carleton, an assistant professor at the Bren School of Environmental Science and Management at the University of California, Santa Barbara.
Dr. Carleton’s research combines economics with data sets and methodologies from remote sensing, data science, and climate science to quantify how environmental change and economic development shape one another. Her current work focuses on climate change, water scarcity, and the use of remote sensing for global-scale environmental and socioeconomic monitoring. Carleton is a member of the Climate Impact Lab, a research associate at the Environmental Markets Lab, and a faculty research fellow at the National Bureau of Economic Research. She holds a doctoral degree in agricultural and resource economics from the University of California, Berkeley, and master’s degrees in environmental change and management as well as economics for development from the University of Oxford.
In her talk, titled “Combining Satellite Imagery with Machine Learning to Address Global Challenges,” Dr. Carleton will discuss how the combination of satellite imagery and machine learning has begun to transform our ability to map, monitor, and influence many global challenges, ranging from deforestation to poverty eradication to illicit activity. However, this emerging research area is data intensive and computationally demanding, making participation impossible for many researchers, governments, and nongovernmental organizations. In this talk, Carleton will describe how satellite imagery and machine learning are being used to fill traditional data gaps. She will then focus on new algorithmic innovations that make this field more accessible to a wider array of users, highlighting specific use cases and publicly available tools that aim to democratize access to a powerful new source of global information.
Негізгі бет Tamma Carleton Ashtekar Lecture 2023
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