Collaborative Research: Demographic and Genealogical Dimensions of Cultural and Biological Success

合作研究：文化和生物学成功的人口统计和谱系维度

• 批准号: 1461504
• 负责人: Raymond Hames
• 金额: $ 3.49万
• 依托单位: University of Nebraska-Lincoln
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1461504&HistoricalAwards=false
• 关键词: Collaborative; Research; Demographic; Genealogical; Dimensions

The public investments that have been made in science obligate researchers to make as much data as possible available, such that society to benefit from those investments as future researchers analyze that data and produce new discoveries. This research project amasses decades of primary data the demography and genealogy of population that has been extensively studied by anthropologists, begins to analyze it for patterns related to cultural and biological success, and archives it for future public access. In making several decades of primary data available to the public on-line at the University of Michigan through IPSCR, this project broadens the dissemination of scientific data to enhance scientific and technological understanding.Dr. Napoleon Chagnon of the University of Missouri at Columbia, and Dr. Raymond Hames of the University of Nebraska at Lincoln will explore the impact of marriage form, marital alliances, kin presence, and parental loss on fertility, offspring survivorship and marital stability. This project has two objectives. The first is to make the Yanomamo demographic and genealogical data base available to researchers via the Internet for use by interested social scientists who wish to test a wide variety of theories revolving around kinship, demographic processes, and marriage. The second goal is to test a variety of human evolutionary theories that address how variation in marriage form, marriage duration, and kin support affects the wellbeing and marital and social success of children. As a natural fertility population with little outside contact and with all known marital forms the Yanomamo are uniquely suited to shed light on the nature of human marriage and families. Just as importantly, the Yanomamö data base is the largest ever amassed for any tribal population. It was collected over a 35 year period through 25 field trips by Napoleon Chagnon from 1964-1999. Currently, this largely prospective data base has genealogical and demographic information on approximately 4,159 (2,107 living and 2,052 deceased) individuals and the project will permit the addition of another 2,500 Yanomamo who have yet to be entered, error checked, and integrated into the current data base. Its resultant size will allow comprehensive statistical analysis not possible with smaller data bases collected by anthropologists. The data will be archived for downloading in a variety of standard formats for statistical analysis. In addition, the project will create a freely available but more user friendly version of KINDEMCOM, a unique PC comparative statistical program designed for sophisticated genealogical analysis of the data. Once the data base is complete and publically goes on-line through IPSCR at the University of Michigan the project leaders and other interested social scientists will be able to investigate the genealogical and demographic dimensions of cultural and biological success.

在科学专业研究人员中进行的公共投资，以制定尽可能多的数据，以便社会从这些投资中受益于未来的研究人员分析数据并产生新发现。该研究项目积累了数十年的主要数据，人类学家广泛研究了人群的人口统计学和家谱，开始分析与文化和生物学成功相关的模式，并归档它以供将来的公众访问。在密歇根大学通过IPSCR在线向公众提供数十年的主要数据时，该项目扩大了科学数据的传播，以增强科学和技术理解。密苏里大学哥伦比亚大学的拿破仑·查格农（Napoleon Chagnon）和林肯内布拉斯加州大学内布拉斯加州大学的雷蒙德·哈姆斯（Raymond Hames）将探讨婚姻形式，婚姻联盟，亲属，亲戚的影响以及父母对生育，后代生存和婚姻稳定的影响。该项目有两个目标。首先是使Yanomamo的人口统计和遗传数据库通过Internet可用，以供有趣的社会科学家使用，他们希望测试各种围绕亲属关系，人口统计学过程和婚姻的理论。第二个目标是测试各种人类进化论的理论，以解决婚姻形式，婚姻持续时间和亲属支持的变化如何影响儿童的福祉，婚姻和社会成功。作为一个自然的生育率，外部接触很少，并且与所有已知的婚姻形式一样，Yanomamo独特地适合阐明人类婚姻和家庭的性质。同样重要的是，Yanomamö数据库是有史以来任何部落人口的最大收入。 1964年至1999年，拿破仑·查克农（Napoleon Chagnon）在35年内通过25次实地考察收集了它。目前，这个前瞻性数据库具有大约4,159（2,107名生活和2,052名死者）的谱系和人口统计信息，该项目将允许另外2500个Yanomamo添加尚未输入，错误检查并集成到当前数据库中。其最终的规模将使人类学家收集的较小数据库不可能进行全面的统计分析。该数据将被存档，用于以各种标准格式下载以供统计分析。此外，该项目将创建一个免费但更具用户友好的版本的Kindemcom，这是一个独特的PC比较统计程序，旨在对数据进行复杂的家谱分析。一旦数据库完成并通过密歇根大学的IPSCR公开在线进行，项目负责人和其他有趣的社会科学家将能够研究文化和生物学成功的谱系和人口统计学维度。