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The Summer School "Data Science and Epidemic Models" will take place in Trento, Italy, from July 8 to 12, 2019.
The summer school aims at presenting state-of-the art techniques to exploit the available data to improve our understanding of epidemic dynamics and spread.
The topics will include:
More information:
https://webmagazine.unitn.it/en/evento/dmath/51928/data-science-and-epidemic-models
andrea.pugliese@unitn.it
The LMS Research School on PDEs in Mathematical Biology: Modelling and Analysis
The school will run from 29th April to 3rd May 2019 and is to be held at the International Centre for Mathematical Sciences (ICMS), Edinburgh.
For preliminary details of the lecturers, speakers and programme, please visit
http://www.icms.org.uk/LMS_PDEsmathbio.php
The school will be supported by the London Mathematical Society, Clay Mathematics Institute (CMI) and Maxwell Institute Graduate School in Analysis and its Applications (MIGSAA) and there will be some funding to support local accommodation and travel costs. For details of the application/funding process, please visit the above website.
The deadline for applications is 31st January 2019.
For informal enquiries, please contact Mariya Ptashnyk (m.ptashnyk@hw.ac.uk) or Kevin Painter (K.Painter@hw.ac.uk)
More information:
http://www.icms.org.uk/LMS_PDEsmathbio.php
m.ptashnyk@hw.ac.uk
Description:
Although new experimental technology is partly responsible for the current
revolution in biological research, theoretical models developed by
physicists are also playing an important role in changing the way
biological research is being performed. The number of theoretical
physicists and applied mathematicians migrating into biology has
dramatically increased throughout the world, but South America still lags
behind.
The one-week school on mathematical models on evolution, co-organized with
the Abdus Salam ICTP in Trieste, will feature lectures by physicists and
applied biologists who have made important contributions to this area of
biological research. The school is intended for graduate students and
postdoctoral researchers in the physical and biological sciences.
This activity will be preceded by the ‘VIII Southern-Summer School on
Mathematical Biology
Candidates may apply either for one or both schools, and preference will be
given to PhD students in South America. There is no registration fee and
limited funds are available for travel and local expenses.
Organizers:
More information:
http://www.ictp-saifr.org/viii-southern-summer-school-on-mathematical-biology/
jandira@ictp-saifr.org
Description:
This school is aimed at graduate students in Physics, Mathematics, Ecology
and Epidemiology, having at least a basic knowledge of calculus and
differential equations. Lectures cover the basics of population dynamics
and are supplemented with modelling exercises addressing mainly problems in
ecology, epidemiology and evolution. Undergraduate students with exceptional records are also encouraged to apply. Limited funds are available for travel and local expenses.
This activity will be followed by the ‘Joint ICTP-SAIFR/ICTP-Trieste School
on Mathematical Models of Evolution
Please note that acceptance cannot be taken for granted, as we expect a
much higher number of applications than the maximum number of participants.
We advise the candidates to carefully complete the application form,
providing enough information for the selection committee to take a decision.
Organizers:
More information:
http://www.ictp-saifr.org/school-on-mathematical-models-of-evolution/
jandira@ictp-saifr.org
School Program
Cellular automata (CA) can be viewed as a mathematical abstraction of the physical world in which all quantities are of discrete nature. Due to its simplicity, CA turn out to a be very interesting approach to model complex systems in which a macroscopic collective behavior emerges out of the interaction of many simple elements. This school will indroduce this approach in a pedagogical way through many examples illustrating the essence of CA modeling.
The program is the following:
Introduction: What are CA's?: computational model, discrete dynamical system, abstraction of physical and natural systems
Definition: Parity rule. Neighborhood, stochastic CA, non-uniform CA, asynchronous CA. Implementation: lookup table, on the fly computation. Number of possible universe
Historical notes: from von-Neumann to Langton self-reproduction CA
Modeling of physical system: create a fititious world where conservation laws and symmetries are preserved.
Examples: snowflakes, excitable media,traffic models, homostatis,...
Understanding complex systems through CAs: life, Langton ants, Wolfram complexity classes...
Lattice gases: CA fluids, diffusion models, exact computation and reversibility
Extension: lattice Boltzmann, multi-agent: in-silico modeling at a mesoscopic level.
Exercises: will be inserted during the presentation
Additional Information: For PhD students from the University of Milano-Bicocca the school is valid for one course credit.
The school will continue with the workshops to introduce the students to recent research results on various aspects of CA.
More information:
http://acri2018.disco.unimib.it/school/
acri2018@easychair.org
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