Distributed Data for Dynamics and Manifolds (17w5070)


(Simon Fraser University)

(University of Pennsylvania)

(McGill University)

(Politecnico di Milano, Italy)

Fang Yao (University of Toronto)


The Casa Matemática Oaxaca (CMO) will host the "Distributed Data for Dynamics and Manifolds" workshop from September 3rd to September 8th, 2017.

The ever-increasing rise of automated measurement has allowed us an unprecedented view of the world around us; from chemical processes on cell surfaces to global climate models, new sensors are capable of recording complex processes over a huge variety of spatial scales. The challenge is now not to collect data, but to analyze it. This workshop will focus on pairing complex models of physical processes with large data sets recorded on complex objects to learn about these processes, refine our models and come new understanding. This workshop will bring together statisticians, mathematical biologists, geometers and applied mathematicians to develop new methods to understand how this new wealth of data can inform and improve mathematical models in these fields and how these models, in turn, can affect how the data is collected and measured.

The Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, are collaborative Canada-US-Mexico ventures that provide an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry.

The research station in Banff is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT). The research station in Oaxaca is funded by CONACYT.