Catalyzing Electrochemical Data Sciences: Education and Research Opportunities Workshop

催化电化学数据科学：教育和研究机会研讨会

• 批准号: 2034796
• 负责人: Daniel Schwartz
• 金额: $ 5万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2034796&HistoricalAwards=false
• 关键词: Catalyzing; Electrochemical; Data; Sciences; Education

A workshop, titled "Catalyzing Electrochemical Data Sciences: Education and Research Opportunities," will be held at the Spring 2021 Electrochemical Society (ECS) Meeting in Chicago, with contingencies for a potential virtual meeting. The workshop will focus on data sciences for the electrochemical community. A key objective will be to identify research priorities and strategies for promoting open electrochemical data repositories and software. Such systems will accelerate research progress in electrochemical science and engineering. To assure a diversity of participation at the workshop, participants will be nominated by the steering committee and by relevant ECS Division Executive Committees. The two-day agenda includes a series of presentations on the creation and analysis of labeled datasets in electrochemical science and engineering. The agenda also contains seminars on open source software of significance to the electrochemical community. Discussions will be guided by steering committee participants, and a report on priorities and research gaps will be drafted by steering committee members. An associated educational activity, entitled Hackweek, will be aimed at the electrochemical software developer community through online teaching and project work.Analysis, aggregation and use of different electrochemical datasets from multiple labs are limited by a lack of standardized file structures, a lack of data quality standards, and a lack of long-lived, scalable, and searchable open data repositories. Extensive dataset archives are critical to machine learning, statistical analysis methods, and validation and parameter estimation in physics-based modeling. The lack of such data slows progress in electrochemical fields. The objective of this workshop is to identify promising research directions in data science focused on providing accessible repositories of electrochemical data for the research community. This workshop will ascertain research gaps in the processes of storing and integrating big data in electrochemical research. Members of the steering committee will lead critical activities of the workshop including selecting participants and drafting the report. The workshop leaders have significant experience in educational and management aspects of the workshop as well as in research topics pertaining to data science.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

一个名为“催化电化学数据科学：教育和研究机会”的研讨会将在芝加哥举行的2021年春季电化学学会（ECS）会议上举行，并有可能举行虚拟会议。 该研讨会将重点关注电化学社区的数据科学。 一个关键目标将是确定研究重点和战略，以促进开放的电化学数据库和软件。 这些系统将加速电化学科学和工程的研究进展。为确保讲习班参与的多样性，与会者将由指导委员会和相关的环境中心司执行委员会提名。为期两天的议程包括一系列关于电化学科学和工程中标记数据集的创建和分析的演讲。 议程还包括对电化学社区具有重要意义的开源软件研讨会。 指导委员会与会者将指导讨论，指导委员会成员将起草一份关于优先事项和研究差距的报告。一个相关的教育活动，名为黑客周，将通过在线教学和项目工作，针对电化学软件开发人员社区。分析，聚合和使用不同的电化学数据集从多个实验室是有限的，缺乏标准化的文件结构，缺乏数据质量标准，缺乏长期的，可扩展的，可搜索的开放数据库。广泛的数据集存档对于机器学习、统计分析方法以及基于物理的建模中的验证和参数估计至关重要。缺乏这样的数据减缓了电化学领域的进展。本次研讨会的目的是确定数据科学中有前途的研究方向，重点是为研究界提供可访问的电化学数据库。本次研讨会将确定在电化学研究中存储和整合大数据过程中的研究差距。指导委员会成员将领导讲习班的关键活动，包括挑选与会者和起草报告。研讨会的领导者在研讨会的教育和管理方面以及与数据科学相关的研究课题方面拥有丰富的经验。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。