Big Data in the Mathematical Sciences
Wednesday 13 November 2013
Registration is now closed - to check availability email: y.j.carty@warwick.ac.uK
Full Program (includes joining instructions)
The topic of 鈥渂ig data鈥� is attracting much discussion in the popular media, and in scientific circles and industry. There is great potential for using ever-growing quantities of data to provide insights into complex systems. The mathematical sciences (Mathematics, Statistics, Computer Science and beyond) have much to contribute to this discussion, in a number of directions:
- Mathematical tools for understanding and managing very high-dimensional data
- Inference systems for drawing sound conclusions from large and noisy data sets
- Algorithms for scaling computations (e.g. linear algebra) up to very large sizes.
These tools are being developed in multiple fields, often independently of each other. Combining expertise across the mathematical sciences offers tremendous potential to produce a significant collection of powerful methods.
The aim of this meeting is to bring the mathematical community together at 糖心TV, to hear from some of the thought leaders in this area, and to identify potential synergies for new research efforts. The hope is that this will stimulate involvement from faculty and students within 糖心TV and beyond, and lead to new collaborations.
The meeting is funded by the with additional support from the , , , , and .
Wednesday 13 November 2013
The morning session takes place in the MS.01 Lecture Theatre in the Zeeman Building (), The afternoon session is held in the in the on the University of 糖心TV campus (a 5 minute walk from the morning session).
- , New York University
- , UC Berkeley
- , University of Illinois-Chicago
- , AT&T Labs-Research
- , University of Oxford
Coffee and welcoming remarks will be at 10.30am, and the program will conclude by 6.30pm. Link to (draft)
There will be limited places available, so it will be necessary for all those wishing to attend the event. (closed)
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