Symposium on Statistical Innovation in the Era of Artificial Intelligence and Data Science
Symposium on Statistical Innovation in the Era of Artificial Intelligence and Data Science
批准号:
2150112
负责人:
Samuel Wu
金额:
$1.7万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-05-15 至 2023-04-30
中文摘要
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英文摘要
This award supports the participation of graduate students, early-career researchers, and members of groups underrepresented in statistics in the ICSA 2022 Applied Statistics Symposium: Statistical Innovations in the Era of Artificial Intelligence and Data Science, held at the University of Florida, Gainesville, Florida, from June 19 – June 22, 2022. The event serves as the official annual meeting of the International Chinese Statistical Association (ICSA) and provides the broader statistical community a unique opportunity to meet and exchange ideas. The main objective of the conference is to bring together both well established and junior researchers from around the nation and the world who are actively pursuing theoretical and methodological research in statistics, biostatistics, and data science as well as their applications. The conference will provide a forum for discussion of cutting-edge developments in statistical theory, methods, and tools for making accurate inference from complex and noisy data sources. The format of the conference includes multiple plenary talks, special invited talks, invited sessions, and contributed posters. The organizers strive to enhance diversity of speakers and maintain a healthy inclusive atmosphere. In addition, a special panel discussion will be organized on mentoring and career development, especially geared toward women and researchers from groups underrepresented in STEM. For students, the conference will provide opportunities such as a student paper competition and contributed poster sessions. The website with details on the symposium is https://symposium2022.icsa.org/.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.
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