Conference: UConn Sports Analytics Symposium: Engaging Students into Data Science

会议:康涅狄格大学体育分析研讨会:让学生参与数据科学

基本信息

  • 批准号:
    2219336
  • 负责人:
  • 金额:
    $ 5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-09-01 至 2025-08-31
  • 项目状态:
    未结题

项目摘要

The UConn Sports Analytics Symposium (UCSAS) will be held on Saturday, Oct. 8, 2022, and annually on the second Saturday in October 2023-2024. The symposium is designed to attract more students outside of traditional data science programs into data science through sports analytics. Unlike other sports analytics conferences that are often not accessible to students due to the technical level, cost, or space limitations, the UCSAS has a unique focus on pre-college, undergraduate, and graduate students who are interested in sports analytics as well as data science in general. The event aims to showcase sports analytics to students at an accessible level, train students in data analytics with application to sports data, and foster collaboration between academic programs and the sports industry. The program features student-friendly keynote presentations, student poster competitions, training workshops at different levels, data challenges, and career panels, with every component highlighting students' needs. All outcomes from the event are permanently archived with open access. The UCSAS accelerates the data literacy and "citizen data science" movements from society's perspective.The UCSAS has great potential to advance knowledge in sports analytics and the general data science field. It has been well-documented that, as an interface between sports and data science, sports analytics is extremely powerful in engaging students from different backgrounds to learn more about and become good at data science. The UCSAS brings students with a common interest in analytics together under a data science umbrella. It facilitates the advancement of understanding about sports analytics across the analytics and data science worlds. The student poster competition and the data challenge will stimulate creative and potentially transformative contributions to sports analytics. The training workshops tailored to different levels offer an effective jump-start model for engaging students in data science. Through these activities, the UCSAS fosters partnerships between academia and the sports industry. The educational materials, video recordings of the keynote presentations, poster submissions, and data challenge submissions will be widely disseminated via social media and GitHub repository in addition to standard channels such as websites and journal publications. More details about the symposium can be found at: https://uconnsportsanalytics.org/index.html.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.
UConn Sports Analytics研讨会(UCSAS)将于2022年10月8日(星期六)和2023 - 2024年10月的第二个星期六举行。该研讨会旨在通过体育分析吸引更多传统数据科学计划以外的学生进入数据科学。与其他由于技术水平,成本或空间限制而经常无法获得学生的其他体育分析会议不同,UCSAS独特着重于预科课程,本科生和研究生,他们对体育分析以及一般数据科学感兴趣。该活动旨在向学生展示体育分析水平,培训学生对体育数据的应用,并促进学术计划与体育行业之间的合作。该计划以学生友好的主题演讲,学生海报比赛,不同级别的培训讲习班,数据挑战和职业面板进行培训,每个组成部分都强调学生的需求。活动中的所有结果都是永久存档的,并有开放访问。 UCSA从社会的角度加速了数据素养和“公民数据科学”运动。UCSA具有巨大的潜力,可以推进体育分析和一般数据科学领域的知识。有充分的文献记载,作为体育与数据科学之间的界面,体育分析在吸引来自不同背景的学生以了解更多有关数据科学并擅长数据科学方面非常有力。 UCSA将在数据科学伞下带来了对分析的共同兴趣的学生。它促进了在分析和数据科学世界中对体育分析的理解的进步。学生海报竞赛和数据挑战将刺激体育分析的创造性和潜在的变革性贡献。针对不同级别量身定制的培训研讨会为吸引学生参与数据科学提供了有效的启动模型。通过这些活动,UCSAS建立了学术界与体育行业之间的伙伴关系。除了网站和期刊出版物之外,还将通过社交媒体和GitHub存储库来广泛传播主题演示文稿的教育材料,主题演示文稿的视频记录,海报提交和数据挑战提交。有关研讨会的更多详细信息,请访问:https://uconnsportsanalytics.org/index.html.thr.this奖,反映了NSF的法定任务,并被认为是值得通过基金会的知识分子优点和更广泛影响的评估标准来通过评估来进行评估的。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Jun Yan其他文献

A general in-situ etching and synchronous heteroatom doping strategy to boost the capacitive performance of commercial carbon fiber cloth
提高商用碳纤维布电容性能的通用原位蚀刻和同步杂原子掺杂策略
  • DOI:
    10.1016/j.cej.2017.11.009
  • 发表时间:
    2018-03
  • 期刊:
  • 影响因子:
    15.1
  • 作者:
    Tian Ouyang;Kui Cheng;Fan Yang;Jietao Jiang;Jun Yan;Kai Zhu;Ke Ye;Guiling Wang;Limin Zhou;Dianxue Cao
  • 通讯作者:
    Dianxue Cao
Trace element chemistry of hydrothermal quartz and its genetic significance: A case study from the Xikuangshan and Woxi giant Sb deposits in southern China
热液石英的微量元素化学及其成因意义——以中国南方锡矿山和沃溪巨型锑矿床为例
  • DOI:
    10.1016/j.oregeorev.2020.103732
  • 发表时间:
    2020-11
  • 期刊:
  • 影响因子:
    3.3
  • 作者:
    Shanling Fu;Qing Lan;Jun Yan
  • 通讯作者:
    Jun Yan
Simulation of boundary layer trajectory dispersion sensitivity to soil moisture conditions: MM5 and Noah-based investigation
模拟边界层轨迹色散对土壤湿度条件的敏感性:MM5 和基于 Noah 的研究
  • DOI:
    10.1016/j.atmosenv.2009.04.005
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    A. Quintanar;R. Mahmood;M. V. Motley;Jun Yan;John H. Loughrin;N. Lovanh
  • 通讯作者:
    N. Lovanh
Nanoelectrodes to differentiate adipose derived stem cells into neural lineage
纳米电极将脂肪干细胞分化为神经谱系
Species composition, trend of biodiversity variation and conservation of the fish in Lijiang River (in China)
漓江鱼类物种组成、生物多样性变化趋势及保护
  • DOI:
    10.1007/s10641-018-0717-3
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    1.4
  • 作者:
    Yang Ding;Zhiqiang Wu;Z. Zhu;Jun Yan
  • 通讯作者:
    Jun Yan

Jun Yan的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Jun Yan', 18)}}的其他基金

Models and Inferences for Heterogeneous Interaction Patterns in Social Networks
社交网络中异构交互模式的模型和推论
  • 批准号:
    2210735
  • 财政年份:
    2022
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Probing moire flat bands with optical spectroscopy
用光谱法探测莫尔平坦带
  • 批准号:
    2004474
  • 财政年份:
    2020
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
Fingerprinting Methods for Detection and Attribution of Changes in Climate Extremes with Spatial Estimating Equations
利用空间估计方程检测和归因极端气候变化的指纹方法
  • 批准号:
    1521730
  • 财政年份:
    2015
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
Graphene Thermoelectric THz Direct and Heterodyne Detectors
石墨烯热电太赫兹直接和外差探测器
  • 批准号:
    1509599
  • 财政年份:
    2015
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Statistical Inferences, Computing, and Applications of Semiparametric Accelerated Failure Time Models
半参数加速失效时间模型的统计推断、计算和应用
  • 批准号:
    1209022
  • 财政年份:
    2012
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Unified Dynamic Modeling of Event Time Data with Semiparametric Profile Estimating Functions: Theory, Computing, and Applications
使用半参数轮廓估计函数对事件时间数据进行统一动态建模:理论、计算和应用
  • 批准号:
    0805965
  • 财政年份:
    2008
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant

相似海外基金

REU Site: Fractals and Stochastics at UConn
REU 网站:康涅狄格大学的分形和随机指标
  • 批准号:
    2349433
  • 财政年份:
    2024
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
MRI: Track 1 Acquisition of a 400 MHz NMR Spectrometer to Expand and Secure Solution NMR Spectroscopy at UConn with Facility Helium Stewardship
MRI:轨道 1 采购 400 MHz NMR 波谱仪,通过设施氦气管理来扩展和保护康涅狄格大学的 NMR 波谱解决方案
  • 批准号:
    2320586
  • 财政年份:
    2023
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
REU Site: Research Experiences in Physiology and Neurobiology at UCONN
REU 网站:康涅狄格大学生理学和神经生物学研究经验
  • 批准号:
    2244073
  • 财政年份:
    2023
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Thermo Scientific Orbitrap Eclipse Tribrid ETD Mass Spectrometer for UConn Proteomics
适用于康涅狄格大学蛋白质组学的 Thermo Scientific Orbitrap Eclipse Tribrid ETD 质谱仪
  • 批准号:
    10176735
  • 财政年份:
    2021
  • 资助金额:
    $ 5万
  • 项目类别:
The UConn/JAX-GM Training Program in Genomic Science
UConn/JAX-GM 基因组科学培训计划
  • 批准号:
    10378555
  • 财政年份:
    2020
  • 资助金额:
    $ 5万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了