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Beyond IRBs: Designing Ethical Review Processes for Big Data

Beyond IRBs: Designing Ethical Review Processes for Big Data
超越 IRB:设计大数据道德审查流程
批准号:
1547506
负责人:
Jules Polonetsky
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-09-01 至 2016-02-29

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中文摘要
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英文摘要
Institutional Review Boards (IRBs) have become understood and widely used in technical fields, especially those relating to information security and privacy, as necessary to protect human subjects in computer studies. However, IRBs do not address all issues. This workshop explores the notion of a broader ethical review procedure in white papers, opinion pieces, and public comments. This multidisciplinary workshop develops how organizations can develop ethical review boards for data uses outside the Common Rule.The workshop considers how ethical guidelines, based on the foundational Belmont principles for human subject research, can help entities make careful decisions to balance data experimentation against risks to individual privacy and civil liberties broadly. It surveys lessons drawn from the medical research ethics community and existing institutional review boards (IRBs). The purpose of this workshop is to bring together experts in academia and industry, as well as ethicists, privacy officials, and government regulators, to develop a blueprint for ethical reviews for computer science research, and provide guidance to those who might seek an ethical opinion to engage in important research, and find a balance to promote research.
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会议论文
NSF Convergence Accelerator: Privacy and Pandemics: Responsible Use of Data During Times of Crisis
NSF Convergence Accelerator: The Future of Privacy Technology-Inaugural Conference of the Privacy Tech Alliance
Spokes: SMALL: SOUTH: Smart Privacy for Smart Cities: A Research Collaborative to Protect Privacy and Use Data Responsibly
RCN: Applied Privacy Research Coordination Network: An Industry-Academic Network to Transition Promising Privacy Research to Practice
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