Annual Report 2005 - Fields Institute - University of Toronto

S. Mitchell (UBC)
An asymptotic framework for finite hydraulic fractures driven
by multiple physical processes
A. Montero (McMaster)
V. Panferov (McMaster)
On the regularity problem for the nonlinear Boltzmann equation
in one space dimension
Mohammad Reza Pakzad (PIMS)
On the weak solutions of the degenarate Monge Ampere
equation
Catherine Sulem (Toronto)
Nonlinear Schrödinger equations and related systems
A. Tamasan (Toronto)
Inverse boundary value problems for the transport equation
and applications
Text Mining Tools for Bioinformaticians and Biologists
February 4, 2005
Held at the Fields Institute
This workshop was organized by the Ontario Centre for
Genomic Computing, at the Hospital for Sick Children, and
hosted by the Fields Institute.
Many of the relationships between biological entities are
captured in scientific text articles where they are difficult
to access and compute on. Biologists have an increasing
need to review the results of their experiments in the light
of this current knowledge. Experimental data sets are quite
often very large as are the literature data sets that may
hold information relevant to them. The process of placing
experimental results into context requires the help of textmining
tools if the task is to be accomplished efficiently
and accurately. The goal of this workshop was to bring
together bioinformaticists and text-mining experts from
Ontario and abroad to discuss the challenges and solutions
related to these issues.
Speakers:
Christian Blaschke (ALMA Bioinformatics, Madrid)
BioCreAtIvE: critical assessment of information extraction for
biology
G e n e r a l S c i e n t i f i c A c t i v i t i e s
Ian Donaldson (Samuel Lunenfeld Research Inst.)
SeqHound and PreBind: tools for text-mining and consolidating
results for multiple text-mining efforts
Carolina Perez-Iratxeta and Miguel A. Andrade (Ottawa
Health Research Inst.)
Two text mining applications to select and explore MEDLINE
references
Joel Martin (National Research Council Inst. for Information
Tech.)
Rapid text mining across millions of abstracts
Alexander Morgan (MITRE Corporation, Bedford MA)
Linking text mentions to biological identifiers
Hagit Shatkay (Queens University)
Hairpins in bookstacks: information retrieval for biomedical
informatics
Workshop on the Geometry of Very Large Data Sets
February 23–25, 2005
Held at the University of Ottawa
Organizers: André Dabrowski, Paul-Eugène Parent, and
Vladimir Pestov (Ottawa)
A workshop goal was to bring together researchers and
students from areas of statistics, topology and computer
science to explore and identify areas of potential research
on the geometric structure of very large dimensional data
sets. The essential elements of topology and stochastics
were covered the first day by Paul-Eugène Parent, Barry
Jessup and André Dabrowski, all of Ottawa. Peter Bubenik
(Lausanne) presented slides of Gunnar Carlsson (Stanford),
who was unable to attend, on Persistent homology. Two
talks by Alexander Gorban (Leicester) on How to discover a
geometry and topology in a finite dataset by means of elastic
nets engendered numerous side discussions on the computational
and conceptual tools involved. Peter Kim (Guelph)
spoke on Nonparametrics in high dimensions with a particular
emphasis on applications to cometary orbits and
the statistical inverse problem on a Riemannian manifold.
Additional presentations by Peter Bubenik (Lausanne),
Maia Lesosky (Guelph) and Ulrich Fahrenberg (Aalborg)
completed the scientific program.
Despite a short time frame, twenty-five participants in all
enjoyed the workshop. This included senior faculty from
Fields Institute 2005 ANNUAL REPORT 71