Nonlinear Dynamics and Data: Prediction, State Estimation, and Uncertainty Quantification in Complex Systems Conference
Abstract
Modeling complex dynamical system is ubiquitous in many areas of sciences, including climate, geophysics, engineering, neuroscience and material science. The long-standing challenge in modeling dynamical systems is to develop models that are consistent with the available observables yet able to predict the behavior of the quantities of interest. This scientific problem has significant science and society impacts on many areas of sciences, including climate, geophysics, engineering, neuroscience and material science. This extremely difficult task is partly due to the complexity of the underlying dynamical systems, high dimensionality, strong nonlinearity, multiscale structures, non-Gaussian statistics and large uncertainties. This birthday conference is to honor Andrew Majda who has made significant contributions in this area in the last quarter of the century. His major achievements include an understanding of real-world complex phenomena such as MJO, Monsoon dynamics, and the development of relevant statistical tools such as reduced-order modeling paradigm, data assimilation, uncertainty quantification. This conference will be held at Courant Institute of Mathematical Sciences, New York University on March 15--17, 2019. It will focus on new ideas and branches of scientific disciplines stimulated by his work, including advanced techniques in modeling, data assimilation, prediction and uncertainty quantification. Rigorous math theories, effective numerical algorithms and real-world applications will all be emphasized in this conference. The conference will include 19 invited speakers, listed below. All speakers have confirmed that they will attend. They are applied mathematicians with a strong interest in nonlinear dynamics and data. Funds from the grant were used to partially support the travel expenses of invited speakers and junior participants at the conference. This conference will emphasize the crucial role of combining rigorous math theory, qualitative or quantitative models, novel numerical algorithm and crucial improved understanding of complex system in dealing with complex nonlinear dynamics and data with applications to real world problems. The diverse group of speakers includes both very senior leaders in the field and relatively young scientists. The theory and application of prediction, state estimation, and uncertainty quantification in complex nonlinear dynamical systems and data are a fertile area for young researchers. One result of the conference will also help young researchers to identify promising problems and applications areas.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 25, 2019
- Source ID
- N000141912243
Entities
People
- Estaban Tabak
Organizations
- New York University
- Office of Naval Research
- United States Navy