Conference: SDSU Data Science Symposium
会议:SDSU 数据科学研讨会
基本信息
- 批准号:2409890
- 负责人:
- 金额:$ 0.75万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2024
- 资助国家:美国
- 起止时间:2024-02-01 至 2024-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
South Dakota State University will host the 6th Annual SDSU Data Science Symposium at the SDSU campus from February 5 to 6, 2024. The symposium brings together students, faculty, researchers, and industry professionals who engage in foundational research and applications of data science. This event, held annually since 2018 (excluding 2021 due to the COVID-19 pandemic) includes pre-conference workshops, keynote speakers, parallel oral presentations, undergraduate and graduate student poster presentations and competitions, as well as a career fair. Historically, more than 200 participants have attended, including students from up to 16 universities and representatives from up to 23 companies. With the 2024 event, this award will help expand both student participation and the number of junior speakers from rural, under-represented, and under-served areas of the Midwest and beyond.The field of data science is expanding and interdisciplinary involving statisticians, computer scientists, mathematicians, etc. The SDSU-DSS stands out as a unique event in the region, bringing together participants from academia and industry to the Midwest. Parallel session tracks feature speakers from diverse fields such as statistics, mathematics, computer science, healthcare, finance, forensics, precision agriculture, and other data science-related topics. The symposium facilitates networking, collaborations, and exposes students to various career paths within mathematics, statistics, computer science, and other STEM areas. The symposium aims to 1) bring unique opportunities to the Midwest region, where students, faculty, business leaders of the region, and practitioners all gather to discuss the applications and foundation of data science; 2) provide hands-on, four-hour-long events on emerging topics/tools used in data science; 3) host presentations covering foundational and use-case aspects of data science and garnering interactive discussions and future collaborations 4) expand networks during the career fair and exhibit sessions, connecting faculty, students, and hiring managers of companies in the area. The presentations and other content will be disseminated through Open PRAIRIE, an open-access institutional repository, ensuring widespread knowledge dissemination. The conference website is www.sdstate.edu/datascience.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.
南达科他州州立大学将于2024年2月5日至6日在SDSU校园举办第六届年度SDSU数据科学研讨会。该研讨会汇集了从事数据科学基础研究和应用的学生,教师,研究人员和行业专业人士。该活动自二零一八年起每年举行(因COVID-19疫情而不包括二零二一年),包括会前工作坊、主题演讲、平行口头陈述、本科生及研究生海报展示及比赛,以及招聘会。从历史上看,有200多名与会者参加,其中包括来自多达16所大学的学生和来自多达23家公司的代表。随着2024年的活动,该奖项将有助于扩大学生的参与和来自农村,代表性不足和中西部及其他地区服务不足地区的初级演讲者的数量。数据科学领域正在扩大,涉及统计学家,计算机科学家,数学家等跨学科SDSU-DSS脱颖而出,成为该地区独特的活动,将学术界和工业界的参与者聚集到中西部。并行会议跟踪来自不同领域的专题演讲者,如统计,数学,计算机科学,医疗保健,金融,法医学,精准农业和其他数据科学相关主题。该研讨会促进了网络,合作,并使学生接触到数学,统计,计算机科学和其他STEM领域的各种职业道路。研讨会旨在1)为中西部地区带来独特的机会,该地区的学生,教师,商界领袖和从业者都聚集在一起讨论数据科学的应用和基础; 2)就数据科学中使用的新兴主题/工具提供为期四小时的实践活动; 3)主持涵盖数据科学基础和用例方面的演示,并获得互动讨论和未来合作4)在招聘会和展览会期间扩大网络,连接教师,学生和该地区公司的招聘经理。 这些介绍和其他内容将通过开放式PRAIRIE(一个开放获取的机构知识库)传播,以确保广泛传播知识。会议网站是www.sdstate.edu/datascience.This奖反映了NSF的法定使命,并已被认为值得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的支持。
项目成果
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Semhar Michael其他文献
Efficacy Trial Results of a Culture-Centric Palliative Care Message for American Indians
针对美洲印第安人的以文化为核心的姑息治疗信息的有效性试验结果
- DOI:
10.1016/j.jpainsymman.2025.02.185 - 发表时间:
2025-05-01 - 期刊:
- 影响因子:3.500
- 作者:
Mary Isaacson;Semhar Michael;Gina Johnson;Kelley Le Beaux;Karla Hunter - 通讯作者:
Karla Hunter
A Machine Learning (ML) Approach to Understanding Participation in Government Nutrition Programs
用于了解政府营养计划参与情况的机器学习 (ML) 方法
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:5.9
- 作者:
Stacey R. Finkelstein;Rohini Daraboina;Andrea Leschewski;Semhar Michael - 通讯作者:
Semhar Michael
Recent Developments in Model-Based Clustering with Applications
基于模型的聚类及其应用的最新发展
- DOI:
10.1007/978-3-319-09259-1_1 - 发表时间:
2015 - 期刊:
- 影响因子:0.9
- 作者:
Volodymyr Melnykov;Semhar Michael;Igor Melnykov - 通讯作者:
Igor Melnykov
Finite mixture of regression models for a stratified sample
分层样本回归模型的有限混合
- DOI:
10.1080/00949655.2019.1636990 - 发表时间:
2019 - 期刊:
- 影响因子:1.2
- 作者:
Abdelbaset Abdalla;Semhar Michael - 通讯作者:
Semhar Michael
Social Media in Chemistry: Using a Learning Management System and Twitter To Improve Student Perceptions and Performance in Chemistry
化学中的社交媒体:使用学习管理系统和 Twitter 提高学生对化学的认知和表现
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Mercy Adoma Fosu;Tanya Gupta;Semhar Michael - 通讯作者:
Semhar Michael
Semhar Michael的其他文献
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