发布求助
文献互助 智能选刊 最新文献

Harvard data science review最新文献

筛选
英文 中文
Conversation with Dr. Lawrence Tabak and Dr. Lyric Jorgenson on the NIH Perspective on Data Sharing and Management 与Lawrence Tabak博士和Lyric Jorgenson博士就NIH数据共享和管理的观点进行对话
Harvard data science review Pub Date : 2022-07-28 DOI: 10.1162/99608f92.b9e4ceec
L. Tabak, Lyric A. Jorgenson, Maryann E. Martone, Richard K. Nakamura
{"title":"Conversation with Dr. Lawrence Tabak and Dr. Lyric Jorgenson on the NIH Perspective on Data Sharing and Management","authors":"L. Tabak, Lyric A. Jorgenson, Maryann E. Martone, Richard K. Nakamura","doi":"10.1162/99608f92.b9e4ceec","DOIUrl":"https://doi.org/10.1162/99608f92.b9e4ceec","url":null,"abstract":"","PeriodicalId":73195,"journal":{"name":"Harvard data science review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48092123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Legal Compliance and Good Data Stewardship in Data Sharing Plans 数据共享计划中的法律合规和良好的数据管理
Harvard data science review Pub Date : 2022-07-28 DOI: 10.1162/99608f92.5ff070bf
Kristen B. Rosati
{"title":"Legal Compliance and Good Data Stewardship in Data Sharing Plans","authors":"Kristen B. Rosati","doi":"10.1162/99608f92.5ff070bf","DOIUrl":"https://doi.org/10.1162/99608f92.5ff070bf","url":null,"abstract":"","PeriodicalId":73195,"journal":{"name":"Harvard data science review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47006461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Building a More Robust Data Science, Toward a More Robust World 构建更强大的数据科学，走向更强大的世界
Harvard data science review Pub Date : 2022-07-28 DOI: 10.1162/99608f92.42285dcb
D. Parkes
{"title":"Building a More Robust Data Science, Toward a More Robust World","authors":"D. Parkes","doi":"10.1162/99608f92.42285dcb","DOIUrl":"https://doi.org/10.1162/99608f92.42285dcb","url":null,"abstract":"","PeriodicalId":73195,"journal":{"name":"Harvard data science review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46916903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Assessing the Impact of Differential Privacy on Measures of Population and Racial Residential Segregation 评估差别隐私对人口和种族居住隔离措施的影响
Harvard data science review Pub Date : 2022-06-24 DOI: 10.1162/99608f92.5cd8024e
Brian J. Asquith, Brad J. Hershbein, T. Kugler, S. Reed, S. Ruggles, Jonathan P. Schroeder, Steve Yesiltepe, David C. Van Riper
{"title":"Assessing the Impact of Differential Privacy on Measures of Population and Racial Residential Segregation","authors":"Brian J. Asquith, Brad J. Hershbein, T. Kugler, S. Reed, S. Ruggles, Jonathan P. Schroeder, Steve Yesiltepe, David C. Van Riper","doi":"10.1162/99608f92.5cd8024e","DOIUrl":"https://doi.org/10.1162/99608f92.5cd8024e","url":null,"abstract":"","PeriodicalId":73195,"journal":{"name":"Harvard data science review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46722195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Disclosure Protection in the Context of Statistical Agency Operations: Data Quality and Related Constraints 统计机构业务中的披露保护:数据质量和相关约束
Harvard data science review Pub Date : 2022-06-24 DOI: 10.1162/99608f92.1cfad278
J. Eltinge
{"title":"Disclosure Protection in the Context of Statistical Agency Operations: Data Quality and Related Constraints","authors":"J. Eltinge","doi":"10.1162/99608f92.1cfad278","DOIUrl":"https://doi.org/10.1162/99608f92.1cfad278","url":null,"abstract":"","PeriodicalId":73195,"journal":{"name":"Harvard data science review","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"64442717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
What Will It Take to Get to Acceptable Privacy-Accuracy Combinations? 怎样才能获得可接受的隐私准确性组合?
Harvard data science review Pub Date : 2022-06-24 DOI: 10.1162/99608f92.5d9b1a8d
Ori Heffetz
{"title":"What Will It Take to Get to Acceptable Privacy-Accuracy Combinations?","authors":"Ori Heffetz","doi":"10.1162/99608f92.5d9b1a8d","DOIUrl":"https://doi.org/10.1162/99608f92.5d9b1a8d","url":null,"abstract":"","PeriodicalId":73195,"journal":{"name":"Harvard data science review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45775975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Harnessing the Known Unknowns: Differential Privacy and the 2020 Census 利用已知未知：差异隐私与2020年人口普查
Harvard data science review Pub Date : 2022-06-24 DOI: 10.1162/99608f92.cb06b469
Ruobin Gong, E. Groshen, S. Vadhan
{"title":"Harnessing the Known Unknowns: Differential Privacy and the 2020 Census","authors":"Ruobin Gong, E. Groshen, S. Vadhan","doi":"10.1162/99608f92.cb06b469","DOIUrl":"https://doi.org/10.1162/99608f92.cb06b469","url":null,"abstract":"and relative accuracy population counts in total and by race for multiple geographic levels and compare commonly used measures of residential segregation. how the accuracy varies by the global privacy loss budget and by the allocation of the privacy loss budget to geographic levels and queries. The also that can indicate either notably or notably segregation in","PeriodicalId":73195,"journal":{"name":"Harvard data science review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46758324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
A Chronicle of the Application of Differential Privacy to the 2020 Census 差别隐私在2020年人口普查中的应用纪事
Harvard data science review Pub Date : 2022-06-24 DOI: 10.1162/99608f92.ff891fe5
V. Hotz, Joseph Salvo
{"title":"A Chronicle of the Application of Differential Privacy to the 2020 Census","authors":"V. Hotz, Joseph Salvo","doi":"10.1162/99608f92.ff891fe5","DOIUrl":"https://doi.org/10.1162/99608f92.ff891fe5","url":null,"abstract":"In this article, we chronicle the U.S. Census Bureau’s development of the Disclosure Avoidance System (DAS) for the publicly released products of the 2020 Census of Population. We provide a brief history of the Census Bureau’s fulfillment of its dual mission of conducting and disseminating the constitutionally mandated decennial information on the U.S. population and its promise of safeguarding the confidentiality of that information. We discuss the basis for and development of a new DAS for released data products from the 2020 Census and the evidence that emerged from various user communities on the accuracy and usability of data produced under this new DAS. We offer some assessments of this experience, the dilemmas and challenges that the Census Bureau faces for producing usable data while safeguarding the confidentiality of the information it collects, and some recommendations for addressing these challenges in the future.","PeriodicalId":73195,"journal":{"name":"Harvard data science review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42721584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Private Numbers in Public Policy: Census, Differential Privacy, and Redistricting 公共政策中的私人数字：人口普查、差别隐私和重新划分选区
Harvard data science review Pub Date : 2022-06-24 DOI: 10.1162/99608f92.22fd8a0e
A. Cohen, M. Duchin, J. Matthews, Bhushan Suwal
{"title":"Private Numbers in Public Policy: Census, Differential Privacy, and Redistricting","authors":"A. Cohen, M. Duchin, J. Matthews, Bhushan Suwal","doi":"10.1162/99608f92.22fd8a0e","DOIUrl":"https://doi.org/10.1162/99608f92.22fd8a0e","url":null,"abstract":"","PeriodicalId":73195,"journal":{"name":"Harvard data science review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45490087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
The Effect of Differentially Private Noise Injection on Sampling Efficiency and Funding Allocations: Evidence From the 1940 Census 差别私人噪声注入对采样效率和资金分配的影响：来自1940年人口普查的证据
Harvard data science review Pub Date : 2022-06-24 DOI: 10.1162/99608f92.a93d96fa
Quentin Brummet, E. Mulrow, K. Wolter
{"title":"The Effect of Differentially Private Noise Injection on Sampling Efficiency and Funding Allocations: Evidence From the 1940 Census","authors":"Quentin Brummet, E. Mulrow, K. Wolter","doi":"10.1162/99608f92.a93d96fa","DOIUrl":"https://doi.org/10.1162/99608f92.a93d96fa","url":null,"abstract":"","PeriodicalId":73195,"journal":{"name":"Harvard data science review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42201836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信