Support for the 2012 Annual Meeting of the Society for Mathematical Psychology

支持数学心理学会2012年年会

• 批准号: 1231262
• 负责人: Mark Pitt
• 金额: $ 1万
• 依托单位: Society for Mathematical Psychology, Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1231262&HistoricalAwards=false
• 关键词: Support; 2012; Annual; Meeting; Society

This award will provide partial support for the 45th Annual Meeting of the Society for Mathematical Psychology to be held in Columbus, Ohio on July 21-24, 2012. The Society for Mathematical Psychology Conference encourages the presentation of research in which mathematical, statistical, or simulation methods play a significant role in the development of hypotheses or the interpretation of experimental results in the behavioral, neural, and cognitive sciences. In addition, accepted research papers focus on theoretical developments clearly relating to substantive issues or methodologies of obvious use in psychology, cognitive science, cognitive neuroscience, and related areas and/or experimental results which bear directly on particular mathematical or simulation models of aspects of human behavior. This year's conference themes include: (1) Neural models of cognition; (2) Modeling with Big Data; and (3) Bayesian methodology in cognitive modeling. Two events will take place on the day prior to the start of the full Society meeting. One is a half-day meeting focusing on the mentoring of women in mathematical psychology. The other is a half-day workshop entitled "Building Human Cognitive Models Using Quantum Probability and Dynamics." Mathematical psychology brings together social scientists, statisticians, mathematicians, and computer scientists to work on problems critical to behavioral scientists. Much transformational research has come from the mathematical psychology community, including mathematical models of brain function, memory, and decision-making, as well as the introduction of new methods for data analysis. While mathematical models improve our understanding of human behavior and provide formal structures for future scientific exploration, new and better methods for data analysis allow us to derive more accurate and nuanced conclusions from behavioral data. The annual meeting of the Society advances discovery and understanding. It promotes training and learning of new models and methods for analyzing behavioral data. It makes possible the broad dissemination of new findings important in all areas of psychology, as well as economics, political science, and sociology.

该奖项将为将于2012年7月21-24日在俄亥俄州哥伦布市举行的第45届数学心理学年会提供部分支持。数学心理学学会会议鼓励在行为、神经和认知科学中，数学、统计或模拟方法在发展假说或解释实验结果方面发挥重要作用的研究报告。此外，被接受的研究论文侧重于与心理学、认知科学、认知神经科学和相关领域中明显使用的实质性问题或方法有关的理论发展和/或实验结果，这些领域和/或实验结果直接涉及人类行为各方面的特定数学或模拟模型。今年的会议主题包括：(1)认知的神经模型；(2)大数据建模；(3)认知建模的贝叶斯方法。在全会会议开始的前一天，将举行两项活动。一个是为期半天的会议，重点是数学心理学中对女性的指导。另一个是为期半天的研讨会，题为“使用量子概率和动力学建立人类认知模型”。数学心理学将社会科学家、统计学家、数学家和计算机科学家聚集在一起，研究对行为科学家至关重要的问题。许多变革性的研究来自数学心理学界，包括大脑功能、记忆和决策的数学模型，以及数据分析的新方法的引入。虽然数学模型提高了我们对人类行为的理解，并为未来的科学探索提供了正式的结构，但新的、更好的数据分析方法使我们能够从行为数据中得出更准确、更细微的结论。学会的年度会议促进了发现和理解。它促进了分析行为数据的新模型和方法的培训和学习。它使得新发现的广泛传播成为可能，这些新发现在心理学的所有领域以及经济学、政治学和社会学中都很重要。