Canadian Young Researchers Conference in Mathematics and Statistics

The Canadian Young Researchers Conference in Mathematics and Statistics (CYRC) is an annual event that provides a unique forum for young mathematicians across Canada to present their research and to collaborate with their peers.

All young academics involved in research in the mathematical sciences are invited to give a scientific talk describing their work and to attend talks on a host of current research topics in mathematics and statistics. Participants will have the opportunity to build and strengthen lasting personal and professional relationships, to develop and improve their communication skills, and to gain valuable experience in the environment of a scientific conference.

Since its inception in 2004 by graduate students at the University of Alberta, the CYRC has been held alternately at the University of Alberta and the University of Calgary. The conference has become a well-recognised and popular event; in 2007 the CYRC boasted over 90 participants from 11 different universities and in 2008 welcomed participants from six different provinces from across Canada. The CYRC will continue to gain momentum, respect and popularity among young researchers in mathematics and statistics.

All graduate students, senior undergraduate students, and post-doctoral fellows studying mathematics and statistics at a Canadian or PIMS university are invited to participate in this conference. Students from PIMS universities will be strongly encouraged to attend and present at this conference.

All participants are encouraged to deliver a twenty-five minute presentation describing their research (or a general interest talk related to their research interests). Those interested in presenting will be required to submit an abstract outlining the content of their proposed talk. Since the body of conference participants will have a wide range of research interests and knowledge, all presentations should be aimed at an audience with a broad knowledge base in mathematics and statistics, but must be tailored to those without a depth of knowledge in any particular area of research.