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: 1461532
• 负责人: Napoleon Chagnon
• 金额: $ 6.59万
• 依托单位: University of Missouri-Columbia
• 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=1461532&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.

对科学的公共投资使研究人员有义务提供尽可能多的数据，以便社会在未来的研究人员分析这些数据并产生新发现时从这些投资中受益。该研究项目积累了数十年的原始数据，即人类学家广泛研究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，并将其存档供未来公众访问。通过IPSCR在密歇根大学向公众提供几十年的原始数据，这个项目扩大了科学数据的传播，以提高科学和技术的理解。哥伦比亚密苏里州大学的拿破仑查格农博士和内布拉斯加大学林肯分校的雷蒙德哈姆斯博士将探讨婚姻形式、婚姻联盟、亲属在场、以及父母在生育能力、后代存活率和婚姻稳定性方面的损失。该项目有两个目标。第一个是通过互联网向研究人员提供雅诺马马人口和家谱数据库，供感兴趣的社会科学家使用，他们希望测试围绕亲属关系、人口统计过程和婚姻的各种理论。 第二个目标是测试各种人类进化理论，这些理论解决了婚姻形式，婚姻持续时间和亲属支持的变化如何影响儿童的幸福，婚姻和社会成功。 作为一个自然生育的人口，与外界接触很少，并与所有已知的婚姻形式，雅诺马马人是唯一适合揭示人类婚姻和家庭的性质。 同样重要的是，雅诺马马数据库是有史以来为任何部落人口积累的最大数据库。 它是由拿破仑查农从1964年到1999年通过25次实地考察在35年的时间里收集的。 目前，这个基本上是前瞻性的数据库有大约4 159人（2 107人活着，2 052人死亡）的家谱和人口资料，该项目将允许增加另外2 500名尚未输入、检查错误和纳入现有数据库的雅诺马马人。 由此产生的规模将允许进行全面的统计分析，这是人类学家收集的较小数据库所无法实现的。 这些数据将以各种标准格式存档，供下载，用于统计分析。 此外，该项目将创建一个免费提供但更便于用户使用的KINDEMCOM版本，这是一个独特的PC比较统计程序，旨在对数据进行复杂的系谱分析。 一旦数据库完成，并通过密歇根大学的IPSCR在线运行，项目领导人和其他感兴趣的社会科学家将能够调查文化和生物成功的家谱和人口统计学方面。