BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//DIGITAL FACTORY//EVENTS MAKER V1.6.14//EN
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTEND:20180613T150000Z
UID:6a16a103739db
DTSTAMP:20260527T074507Z
CATEGORIES:Corso\,Workshop
LOCATION:Dipartimento di Ingegneria Industriale e dell’Informazione Via Ferrata 5, pavia, PV, 27100, IT
ORGANIZER;CN=Centro Interdipartimentale di Tecnologie per la Salute:MAILTO:http://cht@unipv.it
DESCRIPTION:Titolo:  Modelli Multi-Agente per Simulazioni in campo Biomedico  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="Materiali" link="#resources" linkrel=""] [button style="btn-default btn-lg" align="left" type="link" target="false" title="Programma" link="#schedule" linkrel=""] [button style="btn-default btn-lg" align="left" type="link" target="false" title="Location" link="#venue" linkrel=""] [button style="btn-default btn-lg" align="left" type="link" target="false" title="Registrazione" 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]  Descrizione del Corso   [/panel-header]  [panel-content]  Descrizione del Corso:  In questo corso intensivo di tre giorni svilupperemo modelli multi-agente per simulare vari problemi in ambito biomedico. Verrà utilizzato il pacchetto software NetLogo\, che è di diffuso utilizzo per le modellizzazioni basate su agenti in molteplici campi\, non solo in ambito biomedico. NetLogo è dotato sia di un'interfaccia grafica intuitiva che permette all'utente di variare i parametri che siano stati specificati da uno sviluppatore\; sia di un linguaggio di programmazione (basato su Logo\, e [early entry] del mercato di programmazione di giochi).   Il corso utilizzerà NetLogo come strumento principale per la creazione dei modelli\, ma si introdurranno gli elementi teorici di sistemi complessi e basati su agenti e anche un processo per creare modelli basati su agenti con un percorso di sviluppo ininterrotto implementando un modello a partire dalla definizione iniziale del dominio di un problema.  &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]  Location:  [/panel-header]  [panel-content]  Aula C1\, Dipartimento di Ingegneria Industriale e dell'Informazione  [/panel-content]  [/panel]
URL;VALUE=URI:http://cht.unipv.it/it/eventi/event/2018-06-11-13-course-multi-agent-models-in-biomedical-simulation-j-h-holmes
SUMMARY:Corso: Modelli Multi-Agente per Simulazioni in campo Biomedico
DTSTART:20180611T070000Z
END:VEVENT
END:VCALENDAR
