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• Mathematical Models in Epidemiology (MME) course

  • Start
    23 Mar 2022
  • End
    22 Jun 2022
  • Location
    BCAM, Spain and virtual

  The course will take place once a week on Wednesdays (12 sessions) with a 2 weeks break for Easter (April 13 and 20)

  TIME: 12:00-14:00 CET (a total of 24 hours)

  LOCATION: BCAM Seminar room and online

  There is no registration fee but registration is mandatory. 

  Registration deadline is on March 15, 2022

  For more information, please visit 

  http://www.bcamath.org/en/courses/2022-03-23-bcam-course

  Or contact us via email

  mtb@bcamath.org
  

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• Second Edition of the Research School and Workshop on Mathematical Modeling of Self Organization in medicine, biology and ecology, MMSEOR2022

  • Start
    30 May 2022
  • End
    3 Jun 2022
  • Location
    Palermo, Italy

  Registration for MMSEOR2022 is open. To register, please send an e-mail tommseor2022@gmail.com specifying your name and affiliation.

  Please find any further information about the program of the school and of the workshop, accomodation and registration on the websitehttps://mmseor2022.wordpress.com/.

  Participation and presentation of a talk by young researchers are strongly encouraged. To submit an abstract for a contributed talk, please send an email tommseor2022@gmail.com containing the title and a short abstract in .pdf format.

  The deadline for abstract submission for a contributed talk is April 15, 2022.

  The Invited Speakers of the School are:

  Pasquale Ciarletta, Politecnico di Milano
  Anna Marciniak-Czochra, Heidelberg University
  Kevin Painter, Heriot Watt University
  Benoît Perthame, Université Sorbonne

   The Invited Speakers of the Workshop are:

  Bruno Buonomo, Università di Napoli
  Giancarlo Consolo, Università di Messina
  Luís Neves de Almeida, Université Pierre et Marie Curie
  Andrea De Gaetano, CNR Research Director, Roma
  Laurent Desvillettes, Université Paris- Diderot
  Gonzalo Galiano, Universidad de Oviedo
  Miroslaw Lachowicz, University of Warsaw
  Deborah Lacitignola, Università di Cassino e del Lazio Meridionale
  Roberto Natalini, IAC-CNR, Roma
  Jonathan Potts,  Sheffield University
  Luigi Preziosi, Politecnico di Torino
  Andrea Pugliese, Università di Trento
  Vicentiu D. Radulescu, University of Craiova
  Tommaso Ruggeri, Università di Bologna
  Giuseppe Saccomandi, Università di Perugia
  Brian Straughan, Durham University

  The Scientific Committee:

  Piermarco Cannarsa, Università di Roma Tor Vergata
  Kevin Painter, Heriot-Watt University, Edinburgh
  Benoit Perthame, Sorbonne Université
  Luigi Preziosi, Politenico di Torino
  Marco Maria Luigi Sammartino, Università di Palermo
  Giovanna Valenti, Università di Messina

  The Organizing Committee:

  Carmela Currò, Università di Messina
  Giuseppina D’Aguì, Università di Messina
  Gaetana Gambino, Università di Palermo
  Valeria Giunta, Università di Palermo
  Maria Carmela Lombardo, Università di Palermo

  Sponsors:

  Università degli Studi di Palermo
  Dipartimento di Matematica e Informatica, Università di Palermo
  Istituto Nazionale di Alta Matematica-Gruppo Nazionale per la Fisica Matematica (INdAM-GNFM)
  PRIN 2017YBKNCE Multiscale phenomena in Continuum Mechanics: singular limits, off-equilibrium and transitions

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• Summer School on Stochastic Reaction Networks

  • Start
    10 Jul 2022
  • End
    16 Jul 2022
  • Location
    Torgnon, Aosta Valley, Italy

  Summer School on Stochastic Reaction Networks,10-16 July, 2022, Torgnon, Aosta Valley, Italy
  Instructors: David F Anderson (University of Wisconsin, Madison, US), L. Popovic (Concordia University, Montreal, CA).
  
  More info at
  https://areeweb.polito.it/disma-excellence/events_2022/CRNs/index.html
  

  
  

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• 17th Annual Multicell Virtual-Tissue Modeling Online Summer School and Hackathon

  • Start
    31 Jul 2022
  • End
    7 Aug 2022
  • Location
    Virtual

  We are pleased to announce the 17th Annual Multicell Virtual-Tissue Modeling Online Summer School and Hackathon -- 2022, which will take place between Sunday July 31st and Sunday August 8th, 2022. 

  For more information, please see our announcement at https://compucell3d.org/Workshop22

  To register, please visit: www.tinyurl.com/CC3D2022. More information on CompuCell3D is available at https://compucell3d.org/.

  AUDIENCE: Mathematical Biologists, Computational Biologists, Experimental Biologists, Medical Scientists and Biophysicists, from undergraduates to senior faculty, with a current or potential interest in mechanistic modeling of biological systems. The course covers multicellular modeling, which applies to developmental and tissue biology, tissue engineering, developmental diseases like cancer, in-host modeling of infection and immune response and tissue-level toxicology. No specific programming or mathematical experience is required.

  Summer school attendance guarantees admission to the Model-Building Hackathon.

  The Hackathon will group attendees by topic of interest. Experienced modelers will be embedded within each group. Everyone will leave with a functioning core model that they can further customize. Advanced modelers can apply to attend just the Hackathon.

  AIM AND FOCUS:

  An Introductory Python and Principles of Modeling Tutorial will take place on July 31st, 2022. If you already know Python or have modeling experience, you may skip this Tutorial or take this material as a review

  Multicell Virtual-Tissue Modeling Summer School (August 1nd - August 5th, 2022) and Hackathon (August 6th - August 7th, 2022):

  Mechanistic modeling is an integral part of contemporary bioscience, used for hypothesis generation and testing, experiment design and interpretation and the design of therapeutic interventions. The CompuCell3D modeling environment allows researchers with modest programming experience to rapidly build and execute complex Virtual Tissue simulations of development, homeostasis, toxicity and disease in tissues, organs and organisms, covering sub-cellular, multi-cell and continuum tissue scales. Virtual-Tissue simulations developed using CompuCell3D run on Windows, Mac and Linux and online via the nanoHUB CompuCell3D deployment (https://nanohub.org/tools/cc3dbase4x). CompuCell3D is open source, allowing users to extend, improve, validate, modify and share the core software. By the end of the Summer School and Hackathon, participants will have implemented a basic simulation of their particular biological problem of interest. Post-course support and collaboration will be available to continue simulation development.

  SCHOOL OVERVIEW:

  The summer school will include five days of lectures and hands-on computer tutorials. In the modeling Hackathon teams of advanced and beginner modelers will develop research-quality models of their systems of interest. Each attendee will also present a mini talk on their problem of interest. We will provide after-hackathon support to assist users in the development of these models in their research.

   CORE TOPICS:

  ●      Principles of modeling biological and biomedical problems
  

  ●      Python and Antimony scripting

  ●      Multicellular Virtual-Tissue simulations with CompuCell3D

  ●      Combining network models with virtual-tissue models in multiscale models

  INSTRUCTORS:

  Prof. James A. Glazier (Indiana University), Dr. T.J. Sego (Indiana University, CompuCell3D lead developer), Dr. James Sluka (Indiana University), Prof. Julio Belmonte (North Carolina State University), Dr. Josua Aponte Serrano (NIAID), Prof. Gilberto Thomas (Federal University of Rio Grande do Sul, Brazil), Pedro Cenci Dal Castel (Federal University of Rio Grande do Sul, Brazil), Dr. Lorenzo Veschini (King’s College London); Prof. Yi Jiang (Georgia State University); Dr. Priyom Adhyapok (Duke), Dr. Maciek Swat (CompuCell3D lead developer).

  PARTICIPATION:

  Because the number of places is limited, admission is by application only. To apply for admission, please visit the school website at https://compucell3d.org/Workshop22
  and to register, please visit: www.tinyurl.com/CC3D2022. 

  DEADLINE for APPLICATIONS:

  June 1st, 2022. Applications will be processed as received.

   The workshop is partially supported by grants from the US National Institutes of Health. Enrollment is free.

  We look forward to welcoming you online this August!

  James A. Glazier

  Department of Intelligent Systems Engineering
  Indiana University, Bloomington
  jaglazier@gmail.com

   

  
  

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• The Helsinki summer school on mathematical ecology and evolution

  • Start
    21 Aug 2022
  • End
    28 Aug 2022
  • Location
    Turku, Finland

  After the postponements forced upon by the pandemic, we are glad to announce that the 7th edition of The Helsinki Summer School on Mathematical Ecology and Evolution, an EMS-ESMTB School in Applied Mathematics, will be held between 21 and 28 August 2022 in Turku, Finland. 

  The core program consists of five series of lectures: 

  Josef Hofbauer (University of Vienna): Dynamical systems in mathematical ecology Gergely Röst (University of Szeged): The mathematics of infectious diseases
  Pieter Trapman (Stockholm University): Stochastic models of epidemics
  Jarno Vanhatalo (University of Helsinki): Linking ecological models to data through Bayesian statistics
  Christian Hilbe (Max Planck Institute for Evolutionary Biology): Dynamics of social behaviour 

  All young researchers working in mathematical ecology can apply from all countries, especially from Europe and the Mediterranean. The school is aimed at graduate students of mathematics, but we also welcome students of biology with sufficient background in mathematics, advanced undergraduates, and postdocs.  

  For more information and details of the application procedure, please visit the school's webpage  

  https://wiki.helsinki.fi/display/BioMath/The+Helsinki+Summer+School+on+Mathematical+Ecology+and+Evolution+2022 

  With best regards,
  Eva Kisdi
  (eva.kisdi@helsinki.fi) 

   

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• School: Mathematical modeling for epidemiology: analysis, simulation and forecasting

  • Start
    5 Sep 2022
  • End
    9 Sep 2022

  The recent dramatic events associated to the spread of the COVID-19 disease in many parts of the industrialized world, and the subsequent necessity of applying efficient confinement strategies to control the pandemic without frustrating the social-economic environment, have drawn the attention to the pivotal role of mathematical modeling in epidemiology and related issues. The aim of the school is to provide a better understanding of how mathematicians qualitatively describe and measure infectious disease outbreaks, by exploring pressing questions such as how many people have been infected, how infections are identified and measured, how infectious is the virus, and what can be done to combat it. This subject area being intrinsically multidisciplinary, the courses are conceived to cover a broad spectrum of approaches and techniques, ranging from deterministic models of population dynamics to stochastic description or agent- based systems, together with controllability and observability issues, toward statistical data analysis and uncertainty quantification. The principal objective of the school is training a new generation of researchers in mathematical modeling and simulation for epidemiology in order to provide a valuable support in the decision-making process to public health managers and institution executives.

  Webpage: https://sites.google.com/unifi.it/cime/c-i-m-e-courses/c-i-m-e-courses-2022/mathematical-modeling-for-epidemiology-analysis-simulation-and-forecastin
  

  
  

  Course 1 – Population dynamics of infectious diseases
  

  Odo DIEKMANN, Mathematical Institute – Utrecht University, The Netherlands

  
  

  Course 2 – Optimal control with epidemiological applications

  Maurizio FALCONE, Department of Mathematics – Sapienza University of Rome, Italy

  
  

  Course 3 – The mathematics and statistics of infectious disease outbreaks

  Tom BRITTON, Department of Mathematics – Stockholm University, Sweden

  
  

  Course 4 – Outbreak response case studies

  Christl DONNELLY, Faculty of Medicine, School of Public Health

  – Imperial College London, United Kingdom

  
  

  Honorary Lecture

  Andrea BERTOZZI, Department of Mathematics – University of California

  Los Angeles, USA

  
  

  Seminars and project – the case study of COVID-19 pandemic

  Ilaria DORIGATTI, Faculty of Medicine, School of Public Health
  Imperial College London, United Kingdom

  Ganna ROZHNOVA, Department of Epidemiology – University Medical Center
  Utrecht, The Netherlands

  Antonio CAPELLA, Marcos A. CAPISTRAN, J. Andres CHRISTEN, National
  

  Autonomous University of Mexico and CONACYT, Mexico

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