Abstract: Monitoring occurs once remedies have been formulated and put in place. The goal of monitoring planning is to provide assurance that risks are managed in accordance with agreements relating to the remedy. Observations obtained from monitoring will usually differ from behaviors predicted at the time planning occurred. These differences between observed and forecast behavior will change from one monitoring event (round) to another due to systematic and random errors in observations, forecasts, and remedy implementation, operation, and maintenance. Recurrent Bayesian methods, such as Kalman filter, provide an integrated approach to assess remedy performance in light of the numerous potential sources of error. This poster focuses on assessing the performance of containment designs for groundwater pump-and-treat remedies, although it is not limited to this remedy. Containment designs are significant because they are the most commonly installed remedies within the Superfund program.
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Bongard's work focuses on understanding the general nature of cognition, regardless of whether it is found in humans, animals or robots. This unique approach focuses on the role that morphology and evolution plays in cognition. Addressing these questions has taken him into the fields of biology, psychology, engineering and computer science.
Danforth is an applied mathematician interested in modeling a variety of physical, biological, and social phenomenon. He has applied principles of chaos theory to improve weather forecasts as a member of the Mathematics and Climate Research Network, and developed a real-time remote sensor of global happiness using messages from Twitter: the Hedonometer. Danforth co-runs the Computational Story Lab with Peter Dodds, and helps run UVM's reading group on complexity.
Laurent studies the interaction of structure and dynamics. His research involves network theory, statistical physics and nonlinear dynamics along with their applications in epidemiology, ecology, biology, and sociology. Recent projects include comparing complex networks of different nature, the coevolution of human behavior and infectious diseases, understanding the role of forest shape in determining stability of tropical forests, as well as the impact of echo chambers in political discussions.
Hines' work broadly focuses on finding ways to make electric energy more reliable, more affordable, with less environmental impact. Particular topics of interest include understanding the mechanisms by which small problems in the power grid become large blackouts, identifying and mitigating the stresses caused by large amounts of electric vehicle charging, and quantifying the impact of high penetrations of wind/solar on electricity systems.
Bagrow's interests include: Complex Networks (community detection, social modeling and human dynamics, statistical phenomena, graph similarity and isomorphism), Statistical Physics (non-equilibrium methods, phase transitions, percolation, interacting particle systems, spin glasses), and Optimization(glassy techniques such as simulated/quantum annealing, (non-gradient) minimization of noisy objective functions).