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Nutritional Culturomics and Big Data: Macroscopic Patterns of Change in Food, Nutrition and Diet Choices

机译:营养文化学和大数据:食物,营养和饮食选择变化的宏观模式

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Background & Objective: Nutritional culturomics (NCs) is a specific focus area of culturomics epistemology developing digital humanities and computational linguistics approaches to search for macro-patterns of public interest in food, nutrition and diet choice as a major component of cultural evolution. Cultural evolution is considered as a driver at the interface of environmental and food science, economy and policy.Methods: The paper presents an epistemic programme that builds on the use of big data from web based services such as Google Trends, Google Adwords or Google Books Ngram. Viewer.Results: A comparison of clearly defined NCs in terms of geography, culture, linguistics, literacy, technological setups or time period might be used to reveal variations and singularities in public's behavior in terms of adaptation and mitigation policies in the agri-food and public health sectors.Conclusion: The proposed NC programme is developed along major axes: (1) the definition of an NC; (2) the reconstruction of food and diet histories; (3) the nutrition related epidemiology; (4) the understanding of variability of NCs; (5) the methodological diversification of NCs; (6) the quantifiable limitations and flaws of NCs. A series of indicative examples are presented regarding these NC epistemology components.
机译:背景与目的:营养文化学(NCs)是文化学认识论的一个特定重点领域,它发展了数字人文科学和计算语言学方法,以寻找公众对食品,营养和饮食选择感兴趣的宏观模式,并将其作为文化进化的主要组成部分。方法:本文提出了一个认知程序,该程序建立在对基于网络的服务(例如Google趋势,Google Adwords或Google图书)的大数据使用的基础上时,文化进化被认为是环境和食品科学,经济和政策之间相互作用的推动力。 Ngram。 Viewer.Results:在地理,文化,语言学,读写能力,技术设置或时间段方面对明确定义的NCs进行比较,可以用来揭示公众行为在农业食品和农业中的适应和缓解政策方面的差异和特殊性。结论:拟议的NC计划是根据以下主要方面制定的:(1)NC的定义; (2)饮食历史的重建; (3)营养相关流行病学; (4)对NCs变异性的理解; (5)NCs的方法多样化; (6)NC的可量化局限性和缺陷。提出了有关这些NC认识论组成部分的一系列指示性例子。

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