{"title":"计算机科学中的性别偏见动态","authors":"Thomas J. Misa","doi":"10.7560/IC59203","DOIUrl":null,"url":null,"abstract":"ABSTRACT:A new dataset (N = 7,456) analyzes women’s research authorship in the Association for Computing Machinery’s founding thirteen special interest groups (SIGs), a proxy for computer science. ACM SIGs expanded between 1970 and 2000; each experienced increasing women’s authorship. But diversity abounds. Several SIGs had less than 10 percent women authors, while university computing centers (SIGUCCS) exceeded 40 percent. Three SIGs experienced accelerating growth in women’s authorship; most, including a composite ACM, had decelerating growth. This research may encourage reform efforts, often focusing on general education or workforce factors (across “computer science”), to examine understudied dynamics within computer science that shaped changes in women’s participation.","PeriodicalId":42337,"journal":{"name":"Information & Culture","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamics of Gender Bias within Computer Science\",\"authors\":\"Thomas J. Misa\",\"doi\":\"10.7560/IC59203\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT:A new dataset (N = 7,456) analyzes women’s research authorship in the Association for Computing Machinery’s founding thirteen special interest groups (SIGs), a proxy for computer science. ACM SIGs expanded between 1970 and 2000; each experienced increasing women’s authorship. But diversity abounds. Several SIGs had less than 10 percent women authors, while university computing centers (SIGUCCS) exceeded 40 percent. Three SIGs experienced accelerating growth in women’s authorship; most, including a composite ACM, had decelerating growth. This research may encourage reform efforts, often focusing on general education or workforce factors (across “computer science”), to examine understudied dynamics within computer science that shaped changes in women’s participation.\",\"PeriodicalId\":42337,\"journal\":{\"name\":\"Information & Culture\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information & Culture\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.7560/IC59203\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HISTORY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information & Culture","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.7560/IC59203","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HISTORY","Score":null,"Total":0}
引用次数: 0
摘要
摘要：一个新的数据集（N = 7,456）分析了女性在计算机协会（Association for Computing Machinery）创始的 13 个特殊兴趣小组（SIG）（计算机科学的代表）中的研究作者身份。ACM SIG 在 1970 年至 2000 年间不断扩大；每个 SIG 的女性作者人数都在增加。但是，多样性仍然存在。一些 SIG 的女性作者比例不足 10%，而大学计算机中心（SIGUCCS）的女性作者比例则超过了 40%。三个 SIG 的女性作者人数增长加速；而大多数 SIG（包括 ACM 的一个综合 SIG）的女性作者人数增长减速。这项研究可能会鼓励通常关注普通教育或劳动力因素（跨越 "计算机科学"）的改革工作，以研究计算机科学内部影响女性参与变化的未被充分研究的动态因素。
ABSTRACT:A new dataset (N = 7,456) analyzes women’s research authorship in the Association for Computing Machinery’s founding thirteen special interest groups (SIGs), a proxy for computer science. ACM SIGs expanded between 1970 and 2000; each experienced increasing women’s authorship. But diversity abounds. Several SIGs had less than 10 percent women authors, while university computing centers (SIGUCCS) exceeded 40 percent. Three SIGs experienced accelerating growth in women’s authorship; most, including a composite ACM, had decelerating growth. This research may encourage reform efforts, often focusing on general education or workforce factors (across “computer science”), to examine understudied dynamics within computer science that shaped changes in women’s participation.
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