日時： 平成２７年 ５月８日（金） １４時００分〜１７時３０分
場所：キャンパスプラザ京都 ６階第７講習室
講演１ |
Marko
Jusup（九州大学大学院理学研究院） |
時間 |
１４：００〜１５：３０ |
題目 |
Integrating
ontogeny, population dynamics, and social dilemmas into a mathematical
framework for bioresource management |
概要 |
Population dynamics is at the heart of almost
every scientifically-based attempt to manage bioresources. Because of the
complexity of the phenomena at the population level, such attempts rely on
extremely simplifying assumptions regarding the ontogenetic development or
the socio-economic interactions. For example, ontogeny is often represented
by fitting length-at-age or fecundity-at-age curves to the data, resulting in
statistical relationships that completely ignore the changing environment.
Also, harvesting policies are commonly prescribed in terms of sustainable
yields obtained from the population models, thus ignoring the self-interest of
harvesters who pursue maximum short-term profits. By contrast, we focus on
showing how the elements of physiological energetics, population dynamics,
and game theory combine together into an integrative mathematical framework
for bioresource management with which the problems beyond those arising from
the population-level phenomena can be tackled. Having the framework in place,
we discuss why more sophisticated models, rather than having better
predictive power, actually highlight the gaps in knowledge that (should) lead
to more nimble and, therefore, robust management strategies. |
講演２ |
Catherine
Beauchemin （Ryerson University） |
時間 |
１６：００〜１７：３０ |
題目 |
Learning
mathematical lessons from influenza infections:Reality is a tough teacher! |
概要 |
In this presentation, I will discuss some of the
interesting things we learned about mathematical modelling and the
assumptions we make when creating models of virus infections. I will also
discuss a series of modelling improvements we have considered over the years,
including the addition of realistic delays for the time spent by a cell in a
particular state, the consideration of cell co-infection by defective
interfering virus, and the impact of the spatial environment of the infection
on its spread through the respiratory tract and on its severity. |