Support for the 2008 Annual Meeting of the Society for Mathematical Psychology

该奖项将为将于2008年7月26日至29日在华盛顿举行的第41届数学心理学学会年会提供部分支持。数学心理学学会会议鼓励展示数学、统计或模拟方法在行为科学、神经科学和认知科学的假设发展或实验结果解释中发挥重要作用的研究。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相关的理论发展和/或直接与人类行为方面的特定数学或模拟模型相关的实验结果。今年的会议主题包括：(1)认知决策理论；(2)因果建模；(3)计算语言学；(4)心理测量评估。数学心理学汇集了社会科学家、统计学家、数学家和计算机科学家，共同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社区，包括大脑功能、记忆和决策的数学模型，以及数据分析新方法的引入。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。学会的年会促进发现和理解。它促进了对分析行为数据的新模型和新方法的培训和学习，并使在心理学、经济学、政治学和社会学的所有领域重要的新发现的广泛传播成为可能。

This award will provide partial support for the 41st Annual Meeting of the Society for Mathematical Psychology to be held in Washington, D.C. on July 26-29, 2008. 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) cognitive decision theory; (2) causal modeling; (3) computational linguistics; and (4) psychometric assessment.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 and it makes possible the broad dissemination of new findings important in all areas of psychology, as well as economics, political science, and sociology.