Conference: 2011 Meeting of the Society for Social Neuroscience; Washington , DC

社会行为是任何生物体表现出的最复杂和最有趣的特征之一。不同物种的社会行为可能有很大差异，但最近的研究表明，通常存在共同的神经和分子机制来产生如此不同的行为。这些共同的主题对我们理解社会行为以及它如何促成从野生动物保护到种族偏见等一系列当代问题可能被证明是极其重要的。该项目将通过汇聚来自不同领域的杰出研究人员和学生，帮助成立一个新的科学学会--社会神经科学学会。研究人员和学生将展示原创性的研究成果，这些成果可以共同阐明基因和环境如何相互作用，塑造社会行为的神经元基础。由此产生的会议将整合分子进化、神经行为学、灵长类动物学、社会心理学和经济学等不同领域的观点。通过让学生和研究人员沉浸在许多对社会神经科学做出贡献的学术领域，我们希望培养对人类和非人类动物之间社会行为基础的新的、跨学科的见解。会议上的演讲将向学会成员在线提供，组织者正在寻找在几种期刊上发表的文章。该学会还将制定计划，管理目前正在产生的大量基因组和神经成像数据，试图通过产生有用的数据和知识来推动该领域的发展。

Social behaviors are among the most complex and interesting traits exhibited by any organisms. Social behaviors can vary tremendously across different species, yet recent work suggests that there are often common neural and molecular mechanisms that produce such diverse behaviors. Such common themes could prove tremendously important for our understanding of social behavior and how it contributes to a range of contemporary concerns, ranging from wildlife conservation to racial bias. This project will help to launch a new scientific society, the Society for Social Neuroscience, by bringing together outstanding researchers and students from a diverse array of fields. The researchers and students will present original research findings, which together can illuminate how genes and environment interact to shape the neuronal basis of social behavior. The resulting meeting will integrate viewpoints from fields as diverse as molecular evolution, neuroethology, primatology, social psychology and economics. By immersing students and researchers in the many scholarly fields that contribute to social neuroscience, we hope to foster new, interdisciplinary insights into the basis of social behavior among humans and non-human animals. The presentations at the meeting will be available online for members of the society and the organizers are seeking publications in several journals. The society will also formulate plans for managing the wealth of genomic and neural imaging data currently being generated in attempts to advance the field by generating useful data and knowledge.