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[null,"1.","Record Nr.",null,"UNINA9910702104303321"]
[null,null,"Titolo",null,"Larkin Street stories . Episode 2 Confronting hate speech and homophobia [[electronic resource]]"]
[null,null,"Pubbl/distr/stampa",null,"Rockville, MD : , : Homelessness Resource Center, Substance Abuse and Mental Health Services Administration, , 2011"]
[null,null,"Descrizione fisica",null,"1 online resource (9 min., 25 sec.)"]
[null,null,"Soggetti",null,"Social work with sexual minority youth - California - San Francisco"]
[{"$nulls":4},"Hate speech - Prevention"]
[{"$nulls":4},"Homophobia - Prevention"]
[{"$nulls":4},"Documentary films."]
[{"$nulls":4},"Internet videos."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Videoregistrazione"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Video files available in both streaming (9 min., 25 sec., SWF file, sd., col.) and downloadable (9 min., 24 sec., FLV file, sd., col.) formats."]
[{"$nulls":4},"Closed-captioned."]
[{"$nulls":4},"Title from title screen."]
[{"$nulls":4},"\"[D]eveloped by the Homelessness Resource Center through a contract with the Substance Abuse and Mental Health Services Administration\"--Opening screen."]
[{"$nulls":4},"\"Publication date: 2011\"--Video home page."]
[{"$nulls":4},"\"[O]ffers tips on best practices for providers serving LGBTQ [lesbian/bisexual/gay/transgender or transsexual/questioning] youth who are homeless\"--Larkin Street Stories home page."]
[null,null,null,"Sommario/riassunto","Covers the reactions and tactics of staff at Larkin Street Youth Services, a shelter for homeless youth in San Francisco, in response to tense interactions of young, homeless, LGBT clients in a group counseling session. Features comments by Toby Eastman, the center's Chief of Programs."]
[null,"2.","Record Nr.",null,"UNINA9910299978403321"]
[null,null,"Titolo",null,"Empirical Agent-Based Modelling - Challenges and Solutions : Volume 1, The Characterisation and Parameterisation of Empirical Agent-Based Models / / edited by Alexander Smajgl, Olivier Barreteau"]
[null,null,"Pubbl/distr/stampa",null,"New York, NY : , : Springer New York : , : Imprint : Springer, , 2014"]
[null,null,"ISBN",null,"1-4614-6134-0"]
[null,null,"Edizione",null,"[1st ed. 2014.]"]
[null,null,"Descrizione fisica",null,"1 online resource (254 p.)"]
[null,null,"Disciplina",null,"003"]
[{"$nulls":4},"519.5"]
[null,null,"Soggetti",null,"Statistics"]
[{"$nulls":4},"Computer simulation"]
[{"$nulls":4},"Statistical Theory and Methods"]
[{"$nulls":4},"Computer Modelling"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,"Nota di contenuto",null,"Empiricism and agent-based modelling -- A case study on characterising and parameterising an agent-based integrated model of recreational fishing and coral reef ecosystem dynamics -- An Agent-Based Model of Tourist Movements in New Zealand -- Human–ecosystem interaction in large ensemble model systems -- Using Spatially Explicit Marketing Data to Build Social Simulations."]
[null,null,null,"Sommario/riassunto","This instructional book showcases techniques to parameterise human agents in empirical agent-based models (ABM). In doing so, it provides a timely overview of key ABM methodologies and the most innovative approaches through a variety of empirical applications.  It features cutting-edge research from leading academics and practitioners, and will provide a guide for characterising and parameterising human agents in empirical ABM.  In order to facilitate learning, this text shares the valuable experiences of other modellers in particular modelling situations. Very little has been published in the area of empirical ABM, and this contributed volume will appeal to graduate-level students and researchers studying simulation modeling in economics, sociology, ecology, and trans-disciplinary studies, such as topics related to sustainability. In a similar vein to the instruction found in a cookbook, this text provides the empirical modeller with a set of 'recipes'  ready to be implemented. Agent-based modeling (ABM) is a powerful, "]
[{"$nulls":4},"simulation-modeling technique that has seen a dramatic increase in real-world applications in recent years.  In ABM, a system is modeled as a collection of autonomous decision-making entities called “agents.” Each agent individually assesses its situation and makes decisions on the basis of a set of rules. Agents may execute various behaviors appropriate for the system they represent—for example, producing, consuming, or selling.  ABM is increasingly used for simulating real-world systems, such as natural resource use, transportation, public health, and conflict. Decision makers increasingly demand support that covers a multitude of indicators that can be effectively addressed using ABM. This is especially the case in situations where human behavior is identified as a critical element. As a result, ABM will only continue its rapid growth. This is the first volume in a series of books that aims tocontribute to a cultural change in the community of empirical agent-based modelling. This series will bring together representational experiences and solutions in empirical agent-based modelling. Creating a platform to exchange such experiences allows comparison of solutions and facilitates learning in the empirical agent-based modelling community. Ultimately, the community requires such exchange and learning to test approaches and, thereby, to develop a robust set of techniques within the domain of empirical agent-based modelling. Based on robust and defendable methods, agent-based modelling will become a critical tool for research agencies, decision making and decision supporting agencies, and funding agencies. This series will contribute to more robust and defendable empirical agent-based modelling.                                              ."]