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The
first three Collaborative Research Team projects awarded, all of three
years duration beginning April 1 2014, are the following:
Advancements to State-Space Models (SSMs) for Fisheries Science
will be led by Joanna Mills Flemming. Chris Field, Noel Cadigan, David
Campbell, and Rick Routledge will be joining other international
collaborators for this project. The team will develop general-purpose,
statistically rigorous SSM methodologies for fisheries science and
demonstrate the utility of these new approaches for addressing pressing
fisheries issues in Canada through carefully chosen case studies.
Copula Dependence Modelling: Theory and Applications
will be led by Louis-Paul Rivest and Christian Genest. Collaborators
include Elif F. Acar, Radu Craiu, Harry Joe, Johanna Nešlehová,
Jean-François Quessy, and Bruno Rémillard. The group will develop
copula models for applications in finance, genetics and hydrology.
Statistical scientists from universities and government will partner
with industry to provide new methodological developments including semi-
and non-parametric strategies that will enable flexible inference of
conditional dependencies in multivariate copula models.
Statistical Modeling of the World: Computer and Physical Models in Earth, Ocean and Atmospheric Sciences
will be led by Derek Bingham. Will Welch, Hugh Chipman, and Pritam
Ranjan are amongst the collaborators. The team will develop new
methodology for using complex computer models and field observations for
important environmental applications. Specific scientific goals focus
on leveraging each source of information to make predictions of the
physical system, with estimates of uncertainty, and to estimate unknown
physical constants (i.e., a type of inverse problem).
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Save the Date
May 24, 2014: The CANSSI 2014 Annual Meeting will take
place at the University of Toronto the day before the SSC meetings
begin.
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Call for Workshops or Conferences
Proposals for workshops or conferences to be held in 2015 are due on June 22, 2014; Click here for more info.
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News on our Website
Check out our news and events page at www.canssi.ca. |
Send us your events!
Email us at info@canssi.ca if you want your events to appear on our website.
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Poor weather conditions and airport chaos in early January
forced the postponement until mid-March of the review meeting in Ottawa
for institute applications to the CTRMS (Collaborative and Thematic
Resources Support in Mathematics and Statistics) program of NSERC.
This means that the decision on funding the mathematical sciences
institutes and their projects (such as CANSSI) are likely to be delayed
for about three months beyond the original date April 1.
NSERC had appointed an Institute Review Committee (IRC) to
oversee the CTRMS competition, and a Site Review Committee (SRC) to
conduct the reviews. The SRC have completed their reports and provided
them to the IRC. We have been told that in early June, the IRC will
provide NSERC with their funding recommendations and final report. Then
in late June or early July, NSERC will inform us of the final funding
decisions.
Because of the delay in the decisions, NSERC is providing
interim funding to the institutes, and they kindly agreed to allow
CANSSI plans to proceed starting April 1 assuming the decisions for the
institutes and CANSSI to be positive.
An organizing committee led by Nancy Reid of the University of
Toronto and including Yoshua Bengio of Université de Montréal, Hugh
Chipman of Acadia, Sallie Keller of Virginia Tech, Lisa Lix of the
University of Manitoba, Richard Lockhart of Simon Fraser University and
Ruslan Salakhutdinov of the University of Toronto, has submitted a
proposal for a thematic program on Statistical Inference, Learning and
Models for Big Data at the Fields Institute, with satellite activities
at the other mathematical sciences institutes and AARMS. It is
proposed that most of the activities will take place January 1 to June
30, 2015. Development is continuing while the Fields decision is
awaited. Stay tuned for further announcements of the many exciting
events connected with this program.
- Third Annual Canadian Human and Statistical Genetics Meeting, May 3-6, 2014, Fairmont Empress, Victoria, BC
- Geometric Topological and Graphical Model Methods in Statistics, May 22-23, 2014, Fields Institute, Toronto, ON
- Advancements to State-Space Models for Fisheries Science, May 28-30, 2014, Fields Institute, Toronto, ON
- Computational Methods for Survey and Census Data Workshop, June 20-21, 2014, Centre de recherches mathématiques, Montreal, QC
- Statistical Issues in Biomarker and Drug Co-development, November 7-8, 2014, Fields Institute, Toronto, ON
The 2014 AARMS Summer School will be held at Dalhousie University
July 21- August 15, 2014. The theme being Algebra and Statistics, half
of the program is a concentration in statistics, organized by Hong Gu of
Dalhousie. There will be two courses in statistics: Statistical
Learning with Big Data, with instructors Hugh Chipman of Acadia
University and Xu (Sunny) Wang, St. Francis Xavier University; and
Spatial Statistics, with instructor Julie Horrocks of the University of
Guelph. CANSSI is co-funding the statistics part of this summer school.
CANSSI is sponsoring two sessions on methodology at the 2014
Canadian Human and Statistical Genetics meeting, to be held in Victoria,
BC, May 3-6, 2014.
CANSSI will be contributing two of the awards for video
presentations at the SSC Student Conference, to be held May 24, 2014 in
Toronto.
CANSSI is a sponsor of the Canadian Undergraduate Mathematics
Conference CUMC 2014, to be held at Carleton University in Ottawa July
2-5.
Prior to the CANSSI annual general (business) meeting on May 24,
2014 in Toronto, representatives of the institutional member
universities will gather for an hour and a half for a scientific
planning meeting. Among questions to be discussed: how can statistical
science departments and groups, as well as CANSSI, contribute to a
national effort to train students in modern data science? There will
also be a presentation from NSERC on funding programs for collaborative
research. |
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