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From Stars to Baht: Broadening the economic impact of astronomical data handling techniques in Thailand - Phase II

从星星到泰铢：扩大泰国天文数据处理技术的经济影响 - 第二阶段

基本信息

批准号：
ST/S002820/1
负责人：
James Mullaney
金额：
$ 18.56万
依托单位：
University of Sheffield
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2019
资助国家：
英国
起止时间：
2019 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=ST%2FS002820%2F1
关键词：
Stars Baht Broadening economic impact

项目摘要

The most effective way of reducing levels of poverty in developing countries is through their continued economic development, which leads to increased levels of income per person. Research has shown that one of the main ways of achieving this is through maintained increases in levels of productivity (defined as output per hour worked) within businesses and organisations. For an upper-middle income economy such as Thailand's, productivity growth will increasingly rely on innovation, which today requires access to high-tech skills. With more and more Thai industries collecting data on their customers, production lines, distribution networks, stock prices, etc., one of the most crucially needed high-tech skill is the ability to handle large amounts of digital data. Our ongoing project aims to provide such skills for businesses and organisations across Thailand, especially those regions outside Bangkok which have traditionally suffered from weaker economic growth. The first step in this project - for which we received Newton funding - was to use large astronomical datasets to expose Thai data scientists based at Mae Fah Luang University (MFU) to "Big Data". This was followed by a GCRF Foundation Award to facilitate working with five pre-selected regional businesses and organisations, during which we worked with undergraduate students to research how to adapt our technologies and skills to meet the data handling and analysis needs of these external partners. Following the success of our Foundation Award project, we now request GCRF funds to support the expansion of the project to include a broader range of larger external partners with a more national presence. This will provide MFU with the exposure needed to become a self-sustaning hub for data science research and training within Northern Thailand.

减少发展中国家贫困水平的最有效方法是通过其持续的经济发展，从而提高人均收入水平。研究表明，实现这一目标的主要方法之一是通过企业和组织内部的生产率水平（定义为每小时工作的产出）的持续提高。对于泰国这样的中高收入经济体来说，生产率增长将越来越依赖于创新，而创新如今需要获得高科技技能。随着越来越多的泰国行业收集客户、生产线、分销网络、股票价格等方面的数据，最需要的高科技技能之一是处理大量数字数据的能力。我们正在进行的项目旨在为泰国各地的企业和组织提供这些技能，特别是曼谷以外的那些传统上经济增长较弱的地区。这个项目的第一步——我们得到了牛顿基金的资助——是使用大型天文数据集向梅法銮大学（MFU）的泰国数据科学家展示“大数据”。随后，我们获得了GCRF基金会奖，以促进与五个预先选定的区域企业和组织的合作，在此期间，我们与本科生一起研究如何调整我们的技术和技能，以满足这些外部合作伙伴的数据处理和分析需求。在我们的基金会奖项目取得成功之后，我们现在请求GCRF资金支持该项目的扩展，以包括更广泛的更大的外部合作伙伴和更多的国家。这将为MFU提供成为泰国北部一个自给自足的数据科学研究和培训中心所需的机会。