Workshop on computationally intensive modeling of dynamic social interaction November 7-8, 2014 in Tucson, Arizona

动态社交互动计算密集型建模研讨会，2014 年 11 月 7 日至 8 日，亚利桑那州图森

• 批准号: 1444761
• 负责人: Emily Butler
• 金额: $ 5万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1444761&HistoricalAwards=false
• 关键词: Workshop; computationally; intensive; modeling; dynamic

The ability to predict how people will behave during social interactions would have implications for a broad array of domains, ranging across close relationships, education, parenting, business management, work performance, health behaviors, and conflict resolution. A major barrier to progress is that behavioral scientists, who are experts at understanding social interaction, do not usually have advanced mathematical modeling capability. On the other hand, computational scientists, who have the mathematical and computational ability to model complex systems, usually are not experts on social interaction. To address this, Emily Butler (University of Arizona) and colleagues will host a cross-disciplinary, collaborative workshop to bring together behavioral and computational scientists with a shared interest in computationally intensive modeling of dynamic social interactions. The workshop will be attended by approximately 50 invited scientists and is designed to establish new cross-disciplinary collaborations, and the sharing of information and resources across disciplines. More broadly, the larger goal is to foster cumulative research that supports pragmatic applications. Information about social interaction is important for developing parenting classes, family counseling programs, interventions for health behaviors, managerial and negotiation training, reducing bullying in schools, and promoting constructive international relations. Thus the workshop has the potential to inform theory and practice across a diverse range of human experiences.

预测人们在社交互动期间将如何行事的能力将对一系列广泛的领域产生影响，跨越亲密关系，教育，育儿，业务管理，工作绩效，健康行为和解决冲突。进步的主要障碍是，在理解社会互动的专家的行为科学家通常没有先进的数学建模能力。另一方面，具有数学和计算能力来建模复杂系统的计算科学家通常不是社交互动的专家。为了解决这个问题，艾米丽·巴特勒（Emily Butler）（亚利桑那大学）和同事将举办跨学科的协作研讨会，将行为和计算科学家汇集在一起​​，对动态社会互动的计算密集建模具有共同的兴趣。该研讨会将由大约50位受邀科学家参加，旨在建立新的跨学科合作，并在学科跨学科共享信息和资源。更广泛地说，更大的目标是培养支持实用应用的累积研究。有关社会互动的信息对于发展育儿班，家庭咨询计划，对健康行为的干预，管理和谈判培训，减少学校的欺凌以及促进建设性的国际关系很重要。因此，研讨会有潜力为各种人类经验的理论和实践提供信息。