Meetings/Workshops on Systems Biology and Computational Biology in Canada

The Fields Institute for Research in Mathematical Sciences

Many biological species exhibit range shifts: some spread after being introduced into new environments, others follow their preferred climatic conditions under global change. Recent theoretical and empirical results highlight the importance of evolutionary change in these ecological processes. Specifically, they show that evolution can be the driving mechanism behind the range expansion of plants and animals, and that scientists may be underestimating how quickly species can move. However, the ecological and evolutionary processes involved in range expansions have mostly been studied separately, and despite recent advances in theory and experiments, making predictions about the speed of expansion is inherently difficult. The goal of this workshop is to convene mathematicians, modellers, and empiricists to exchange recent results on eco-evolutionary dynamics in species' range expansions and to develop novel mathematical frameworks to address important questions such as the relative contributions of ecological processes, evolutionary processes and environmental conditions on the speed and the variation in speed of range expansion.

Applied Mathematics (in general),    Modeling and Simulation

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Despite these recent successes at the neuroscience-AI intersection, there are many deep mathematical questions still to answer: 1) given their enormous size and complexity, how can we understand the operations performed by a fully-trained deep learning algorithm, or (analogously) an animal’s brain?; 2) how does the dynamics of activations within biological and artificial neural networks evolve and interact over different timescales (seconds, hours, days, etc.)?; 3) how does randomness in the environment and/or within the neuronal networks themselves contribute to the function of these networks?; 4) what features most enhance (or degrade) the computational power of neuronal networks?; 5) how do brains and AI systems reason in the face of uncertainty? This upcoming BIRS workshop will bring together AI researchers, neuroscientists, and mathematicians, to answer these questions. In so doing, it aims to advance all three of those disciplines, leading to better AI algorithms, and potentially better diagnosis and treatment of those with brain disorders.

Courses and Events for Math Students and Early Career Researchers,    Neural Networks and Artificial Intelligence, Machine Learning

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Courses and Events for Math Students and Early Career Researchers,    Neural Networks and Artificial Intelligence, Machine Learning

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Courses and Events for Math Students and Early Career Researchers,    Applied Mathematics (in general)