Data Science in Science Applications: Presentations
The National Ignition Facility (NIF) is the world’s most energetic laser, with the precision needed to guide and focus 192 beams into a target that is roughly the size of a pencil eraser. Along with this engineering marvel and major experimental asset comes the need to generate, store, and correlate huge amounts of data. This data is associated with the exact configuration of the laser, the experiment, and the simulations.
Geophysical sensor technologies can be used to understand the structural integrity of Earth Dams and Levees (EDLs). We are part of an interdisciplinary team researching techniques for the advancement of EDL health monitoring and developing a workflow for the automatic detection of internal erosion events. We present results from our study that uses signal processing, feature extraction, and unsupervised learning on passive seismic data from an experimental laboratory earth embankment.
Urbanization benefits the economic development tremendously in developing countries. China has experienced a significant urban growth, which drives its fast-rising GDP, but also increases its income inequality and poverty in urban areas. This study focuses on (1) measuring the social network structure of cities based on mobile phone communication data and correlating network characteristics with economic indicators and (2) identifying and quantifying social segregation between the rich and poor.