Jacqueline Hoege, Maryanna C. Lansing, Sarah Nelson, Daniel Ungerleider, Rishab Iyer, C. Rhodes, Ben Metzger, Peter Worcester, Aniket Chandra, Jacob Leonard, Rachel Kreitzer, W. Scherer
{"title":"大学环境下跨学科的体育分析方法","authors":"Jacqueline Hoege, Maryanna C. Lansing, Sarah Nelson, Daniel Ungerleider, Rishab Iyer, C. Rhodes, Ben Metzger, Peter Worcester, Aniket Chandra, Jacob Leonard, Rachel Kreitzer, W. Scherer","doi":"10.1109/SIEDS49339.2020.9106647","DOIUrl":null,"url":null,"abstract":"As of 2019, sports analytics has grown to be a $780 million industry [1]. Many organizations and institutions contribute to the field through research in exercise science, optimization of in-game decision making, sports marketing, business performance, and sports compliance fields. We propose an open, interdisciplinary approach to sports analytics within institutes of higher education to work across many fields and provide opportunities to diverse members within the community, enable research and communication across fields, serve the surrounding community, and ethically use data.","PeriodicalId":331495,"journal":{"name":"2020 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Interdisciplinary Approach to Sports Analytics in a University Setting\",\"authors\":\"Jacqueline Hoege, Maryanna C. Lansing, Sarah Nelson, Daniel Ungerleider, Rishab Iyer, C. Rhodes, Ben Metzger, Peter Worcester, Aniket Chandra, Jacob Leonard, Rachel Kreitzer, W. Scherer\",\"doi\":\"10.1109/SIEDS49339.2020.9106647\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As of 2019, sports analytics has grown to be a $780 million industry [1]. Many organizations and institutions contribute to the field through research in exercise science, optimization of in-game decision making, sports marketing, business performance, and sports compliance fields. We propose an open, interdisciplinary approach to sports analytics within institutes of higher education to work across many fields and provide opportunities to diverse members within the community, enable research and communication across fields, serve the surrounding community, and ethically use data.\",\"PeriodicalId\":331495,\"journal\":{\"name\":\"2020 Systems and Information Engineering Design Symposium (SIEDS)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Systems and Information Engineering Design Symposium (SIEDS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIEDS49339.2020.9106647\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Systems and Information Engineering Design Symposium (SIEDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIEDS49339.2020.9106647","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Interdisciplinary Approach to Sports Analytics in a University Setting
As of 2019, sports analytics has grown to be a $780 million industry [1]. Many organizations and institutions contribute to the field through research in exercise science, optimization of in-game decision making, sports marketing, business performance, and sports compliance fields. We propose an open, interdisciplinary approach to sports analytics within institutes of higher education to work across many fields and provide opportunities to diverse members within the community, enable research and communication across fields, serve the surrounding community, and ethically use data.