Discovery Projects - Grant ID: DP210100045

发现项目 - 拨款 ID：DP210100045

• 批准号: ARC : DP210100045
• 负责人: Dr Daniel Schmidt
• 金额: $ 45.06万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/discovery-projects-grant-id-dp210100045/1782585
• 关键词: Discovery; Projects; Grant; ID; DP210100045

Rethinking the Data-driven Discovery of Rare Phenomena. This project will investigate novel technologies for the data-driven discovery of rare phenomena. Scientific disciplines are increasingly able to generate large amounts of data relevant to key discoveries such as novel photovoltaic materials or explanations of brain seizures. However, these discoveries typically correspond to extremely rare phenomena in high dimensional spaces, which current data science methods are unable to detect. The project will fill this void and yield novel methods, publications, and open source software for the data-driven discovery or rare phenomena. Thus, it will expand the capabilities of data science, providing better use of the massive data collections accumulating across science, government, and industry.

重新思考罕见现象的数据驱动发现。该项目将研究数据驱动的罕见现象发现的新技术。科学学科越来越能够生成与关键发现相关的大量数据，例如新型光伏材料或大脑癫痫发作的解释。然而，这些发现通常对应于高维空间中极其罕见的现象，目前的数据科学方法无法检测到。该项目将填补这一空白，并为数据驱动的发现或罕见现象产生新的方法，出版物和开源软件。因此，它将扩展数据科学的能力，更好地利用科学、政府和行业积累的大量数据。