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Event Description:Mevin Hooten, Department of Statistics, Colorado State University   De Motu Animalium:  Modern Models for Animal Trajectories  Advances in animal telemetry data collection techniques have served as a catalyst

Event Description:Eric Vance, Department of Applied Mathematics, º£½ÇÉçÇø Toward a Theory of Collaboration for Data Science The emerging field of Data Science is, by construction, an interdisciplinary, collaborative field.

Event Description:Doug Nychka, National Center for Atmospheric Research (NCAR), º£½ÇÉçÇø, CO Large and non-stationary spatial fields: Quantifying uncertainty in the pattern scaling of climate models Pattern scaling has proved to be a useful way

Event Description:Ana Maria Rey, Joint Institute for Laboratory Astrophysics, º£½ÇÉçÇøBuilding with Crystals of Light and Quantum Matter: From clocks to computers Understanding the behavior of interacting electrons in

Event Description:Xuemin Tu, Department of Mathematics, University of KansasNonoverlapping Domain Decomposition Methods for Saddle Point Problems     Two widely used nonoverlapping domain decomposition methods BDDC (Balancing domain

Event Description:Steffen Borgwardt, Department of Mathematical and Statistical Sciences, University of Colorado - Denver   Operations Research in Land ExchangeWith geometric modeling techniques, one can represent the feasible solutions of

Event Description: A weekly presentation of current research in the field of Applied Mathematics, suitable for most audiences.Location Information:Main Campus - Engineering Classroom Wing  (View Map) 1111 Engineering DR  º£½ÇÉçÇø, CO

Event Description: Will Kleiber, Department of Applied Mathematics, º£½ÇÉçÇø Multivariate Random Fields Most modern spatial datasets involve multiple variables that can exhibit complex cross-process dependencies. We review some

Event Description: Yi Qiang, The Earth Lab and Dept. of Geography, º£½ÇÉçÇøFrom Time to Time: Novel Representations of Time for Visual Analytics How to represent time is a fundamental question in many disciplines.

Event Description: Alireza Doostan, Department of Aerospace Engineering Sciences, º£½ÇÉçÇøUncertainty Quantification Using Low-fidelity Data  Realistic analysis and design of multi-disciplinary engineering systems require