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BEGIN:VEVENT
DTEND:20180613T150000Z
UID:6a1694436258e
DTSTAMP:20260527T065043Z
CATEGORIES:Course\,Workshop
LOCATION:Department of Electrical, Computer and Biomedical Engineering Via Ferrata 5, pavia, pv, 27100, IT
ORGANIZER;CN=Centre for Health Technologies:MAILTO:http://cht@unipv.it
DESCRIPTION:Titolo:  Multi-Agent Models in Biomedical Simulation   Lingua del seminario:  Inglese  Relatore:   John H\, Holmes\, PhD  University of Pennsylvania   Perelman School of Medicine\, Philadelphia - USA    &nbsp\;  [button style="btn-default btn-lg" align="left" type="link" target="false" title="Resources" link="#resources" linkrel=""] [button style="btn-default btn-lg" align="left" type="link" target="false" title="Schedule" link="#schedule" linkrel=""] [button style="btn-default btn-lg" align="left" type="link" target="false" title="Venue" link="#venue" linkrel=""] [button style="btn-default btn-lg" align="left" type="link" target="false" title="Registration" link="https://docs.google.com/forms/d/e/1FAIpQLSc6-Q9yvqppYQK6dyzu9WDH0_hrt4kqaGNtq-oWfmF_OzHyig/viewform?usp=sf_link" linkrel=""]  &nbsp\;      [panel style="panel-primary"]  [panel-header]  Course Description:  [/panel-header]  [panel-content]  Course description  In this three-day short course\, we will develop agent-based models for simulating a variety of  biomedical problems. We will be using the NetLogo software package\, which is in extensive use in  agent-based modeling of a very wide variety of domains\, not solely biomedical. NetLogo supports an  intuitive graphical interface that allows the user to change parameters that have been specified by a  developer\, as well as a programming language (based on Logo\, and early entry into the game  programming market). Although NetLogo will be used for purposes of creating the models\, we will  also introduce the theory of agent-based and complex systems as well as a process for modeling  agent-based models that has a seamless development pipeline from initial specification of a problem  domain through the implementation of a model.  &nbsp\;    Learning objectives for the course  1. Demonstrate familiarity with the theory of agent-based models and complex adaptive  systems  2. Show intermediate- to advanced-level of competency with developing and using an agent-  based model implemented in NetLogo  3. Describe uses of agent-based models in biomedical domains    Class format  Each class is three hours in length. The course is designed as a lecture-laboratory\, with guided in-  class exercises to illustrate topics covered in the lecture\, as they are covered. We will also discuss  one paper each day\, that illustrates the use of an agent-based model in a biomedical domain.  [/panel-content]  [/panel]      [panel style="panel-primary"]  [panel-header]  Course Resources:  [/panel-header]  [panel-content]  Suggested textbook:  Railsback S and Grimm V: Agent-Based and Individual-Based Modeling: A Practical  Introduction. Princeton\, New Jersey: Princeton University Press\, 2012. Although not required  for the course\, this is one of the best textbooks on ABMs and guides to NetLogo available!  Journal papers: As noted in the Course Schedule and distributed before the course begins.  Software:  • NetLogo download page: http://netlogoweb.org  o Download the Desktop App\, not NetLogo Web!  o The software includes a comprehensive user manual\, accessible from the Help menu.)    [/panel-content]  [/panel]    [panel style="panel-primary"]  [panel-header]  Course Schedule:  [/panel-header]  [panel-content]  11 June: General Introduction to agent-based modeling and NetLogo  Morning   Course overview and introduction  • Agent-based modeling  • The NetLogo platform  • Example: AIDS  Afternoon   Creating an ABM with NetLogo  • The ODD modeling framework  • The NetLogo programming language  Example: AIDS model\, found in the NetLogo Models Library: Sample Models/Social Science  folder.  Exercise: Implementing a simple model: Ants  Reading: Chiaccio F\, et al.: Agent-based modeling of the immune system: NetLogo\, a  promising framework. BioMed Research International\, Article ID 907171\, 2014.  12 June: Contagion and infectious disease modeling  Morning   Model design concepts I  • Emergence  • Observation  • Sensing  • Adaptive behavior  Afternoon   Model design concepts II  • Prediction  • Interaction  • Scheduling  • Stochasticity  • Collectives  Example: http://modelingcommons.org/browse/one_model/4332#model_tabs_browse_procedures  Exercise: Simulating an influenza outbreak using a common contagion model  Reading: Cooley P\, et al.: The role of subway travel in an influenza epidemic: A New York City  simulation. Journal of Urban Health: Bulletin of the New York Academy of Medicine 88(5):982-  994\, 2011.  13 June: Built-environment interactions  Morning   Pattern-oriented matching  • Patterns for model structure  • Theory development  • Parameterization and calibration  Afternoon   Model analysis and course wrap-up  • Analyzing and understanding agent-based models  • Sensitivity\, uncertainty and robustness  • What next?  Example: Pollution model\, found in the NetLogo Models Library: Sample Models/Urban Suite  folder.  Exercise: Environmental modeling with NetLogo  Reading: Yang Y and Diez-Roux AV: Using an agent-based model to simulate children’s  active travel to school. International Journal of Behavioral Nutrition and Physical Activity  10(67): 1-8\, 2013    [/panel-content]  [/panel]    [panel style="panel-primary"]  [panel-header]  Course Venue:  [/panel-header]  [panel-content]  More details to be disclosed soon  [/panel-content]  [/panel]
URL;VALUE=URI:http://cht.unipv.it/en/events-2/event/course-multi-agent-models-in-biomedical-simulation
SUMMARY:Course: Multi-Agent Models in Biomedical Simulation
DTSTART:20180611T070000Z
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