Simon Fraser University to host the Canadian Statistical Sciences Institute headquarters in new collaboration
On Wednesday, June 27, 2018, Simon Fraser University (SFU) announced its new collaboration with the Canadian Statistical Sciences Institute (CANSSI) as host of its national headquarters at SFU’s Big Data Hub this fall.
CANSSI is a not-for-profit whose mission is to promote statistical sciences research and training both in Canada and internationally. They are a growing and strongly engaged research force in the statistical sciences in Canada, working on problems at the leading edge of the field, collaborating across disciplines and internationally, and tackling issues of importance to science and society.
Building on SFU’s strengths in the field, and having one of the leading Statistics and Actuarial Science departments in Canada, this collaboration further elevates SFU’s impact and reputation both nationally and internationally. With a shared commitment to research excellence and innovative breakthroughs, SFU and CANSSI will be a catalyst to strengthen collaborations between researchers, partners and communities across the country.
“On behalf of the university, we are thrilled to collaborate with CANSSI, an organization that aligns perfectly with SFU’s engaged vision and our research priorities,” says Joy Johnson, SFU’s Vice-President, Research and International. “We look forward to the many opportunities that lie ahead.”
SFU and CANSSI are committed to a vision focused on research excellence, collaboration and nation-wide capacity building. For SFU in particular, big data is a university-wide strategic research priority, and a field that the university has invested in to build world class capacity. Building on the complementary strengths of both CANSSI and SFU, this close collaboration will advance cutting-edge research and engage researchers from across the statistical science and data science field.
With the support of KEY, SFU’s Big Data Initiative, this collaboration further solidifies SFU’s leadership in big data innovation and data science excellence, as well as our continued support of researchers across Canada.